Fengling Chen

26 papers receiving 1.0k citations

Peers

Fengling Chen
Comparison fields: 5 of 98
  • Behavioral Neuroscience 282
  • Biological Psychiatry 97
  • Endocrine and Autonomic Systems 74
  • Geriatrics and Gerontology 39
  • Social Psychology 194
Replace J. Alberto Olivares‐Reyes with:
J. Alberto Olivares‐Reyes Mexico
Clara Meda Italy
Raffaella Nicolai Italy
Hsiao‐Yun Lin Taiwan
Qing Cai China
Chia‐Wei Liou Taiwan
Danian Qin China
Derek A. Schreihofer United States
Naila Rasheed Saudi Arabia
Fengling Chen relative to J. Alberto Olivares‐Reyes Mexico J. Alberto Olivares‐Reyes's profile →
Citations per field
00.5×
J. Alberto Olivares‐Reyes · 1×
Citations per year

Countries citing papers authored by Fengling Chen

Since Specialization
Citations

This map shows the geographic impact of Fengling Chen'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 Fengling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengling Chen more than expected).

Fields of papers citing papers by Fengling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengling Chen. 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 Fengling Chen. The network helps show where Fengling Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Fengling Chen, 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 Fengling Chen Line = papers co-authored together Fengling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994193
2 1998142
3 2019122
4 2017101
5 198864
6 201763
7 201647
8 201646
9 201141
10 201434
11 202228
12
Two Isoenzymes of NADH-dependent Glutamate Synthase in Root Nodules of Phaseolus vulgaris L.
198826
13 201724
14 198922
15 201019
16 202216
17 202315
18 201912
19 201712
20 200710

About Fengling Chen

Fengling Chen is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Autophagy in Disease and Therapy (5 papers), Plant nutrient uptake and metabolism (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Immune cells in cancer (3 papers), Adipose Tissue and Metabolism (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Behavioral Neuroscience (282 citations), Biological Psychiatry (97 citations), Endocrine and Autonomic Systems (74 citations), Geriatrics and Gerontology (39 citations) and Social Psychology (194 citations). Fengling Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lorey K. Takahashi, Ned H. Kalin, Julie V. Cullimore, Xiaolei Hu, Jiangping He, David T. Hsu, Guangya Zhang, Jie Xiong, Ziming Mao and Jing Zhu. Their work appears in journals such as Cell Death and Disease, Brain Research, International Journal of Molecular Medicine, Bioscience Reports and Planta.

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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