Feng Jin

2.0k citations
34 papers · 1.5k · 1 hit paper · h-index 16

Impact in

Papers in

Feng Jin

33 papers receiving 1.5k citations

Feng Jin's Hit Papers

Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features 2017 · 321 citations
3210+3+6Years since publication100200300

Peers

Feng Jin
Comparison fields: 5 of 112
  • Biological Psychiatry 321
  • Gastroenterology 125
  • Behavioral Neuroscience 67
  • Physiology 391
  • Neurology 171
Replace Lívia H. Morais with:
Lívia H. Morais Brazil
Shan Liang China
Amy Loughman Australia
Boushra Dalile Belgium
Nadja Bakočević Singapore
Philip Strandwitz United States
Afrouz Abbaspour Sweden
Annunziata Scirocco Italy
Agata Korecka Sweden
Alison C. Bested Canada
Feng Jin relative to Lívia H. Morais Brazil Lívia H. Morais's profile →
Citations per field
00.5×12.3×
Lívia H. Morais · 1×
Citations per year

Countries citing papers authored by Feng Jin

Since Specialization
Citations

This map shows the geographic impact of Feng Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jin more than expected).

Fields of papers citing papers by Feng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Jin. The network helps show where Feng Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Feng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Jin Line = papers co-authored together Feng Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features
Hit paper breakdown →
2017321
2 2016284
3 2018255
4 2018198
5 201580
6 201356
7 201332
8 201430
9 200629
10 202026
11 201526
12 202124
13 202122
14 202218
15 201517
16 202416
17 201115
18 200613
19 200712
20 20209

About Feng Jin

Feng Jin is a scholar working on Molecular Biology, Biological Psychiatry, Physiology, Social Psychology and Genetics, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gut microbiota and health (9 papers), Tryptophan and brain disorders (6 papers), Neuroendocrine regulation and behavior (4 papers), Forensic and Genetic Research (3 papers), Stress Responses and Cortisol (3 papers), Diet and metabolism studies (3 papers), Dermatology and Skin Diseases (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (321 citations), Gastroenterology (125 citations), Behavioral Neuroscience (67 citations), Physiology (391 citations) and Neurology (171 citations). Feng Jin has collaborated with scholars based in China, Japan and Kazakhstan. Frequent co-authors include Xu Hu, Shan Liang, Xiaoli Wu, Tao Wang, Xiaoli Wu, Wei Li, Tao Wang, Yunfeng Duan, Bin Qin and Tao Wang. Their work appears in journals such as Science China Life Sciences, Legal Medicine, Behavioral and Brain Functions, Chinese Science Bulletin (Chinese Version) and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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