AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
FX

Fang Xie

Neuroscience

Fudan University

No ratings yetBe the first to rate
Loading...

About Fang Xie at Fudan University

Fang Xie is a prominent academic figure at Fudan University, where they contribute to the Neuroscience through intensive research in Alzheimer's disease, dementia, cognitive impairment, functional brain connectivity, neurodegeneration, biomarkers, neuroimaging, synaptic loss. A representative example of their recent contribution is the study titled "An experimental study on anisotropy of thermal conductivity in shale", which offers critical insights into the dynamics of Alzheimer's disease and dementia. Additional work such as "Development of a light yield calibration method for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e404" altimg="si5.svg"><mml:mi>μ</mml:mi></mml:math>SR detectors based on Compton edge location" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

Alzheimer's diseasedementiacognitive impairmentfunctional brain connectivityneurodegenerationbiomarkersneuroimagingsynaptic loss

Academic Impact Matrix

Research output metrics for Fang Xie aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations47

Emerging researcher

Publications19

Selective publication record

h-index4

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Fang Xie

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.