Wenkai Ren

10.8k citations
144 papers · 8.2k indexed · 4 hit papers · h-index 50

Impact in

Papers in

Wenkai Ren

136 papers receiving 8.0k citations

Hit Papers

Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy 2018 · 318 citations
3182017202620202023100200300400

Peers

Wenkai Ren
Comparison fields: 5 of 141
  • Biological Psychiatry 373
  • Animal Science and Zoology 1.2k
  • Endocrine and Autonomic Systems 507
  • Nutrition and Dietetics 888
  • Molecular Biology 3.8k
Replace Jie Yin with:
Jie Yin China
Bie Tan China
Zhaolai Dai China
Hervé M. Blottière France
Mark W. Musch United States
Guido Hooiveld Netherlands
Zhenlong Wu China
Freddy J. Troost Netherlands
Defa Li China
Xiangfeng Kong China
Wenkai Ren relative to Jie Yin China Jie Yin's profile →
Citations per field
00.5×1.5×
Jie Yin · 1×
Citations per year

Countries citing papers authored by Wenkai Ren

Since Specialization
Citations

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

Fields of papers citing papers by Wenkai Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20257
4 202414
5 202442
6 20237
7 202212
8 202165
9 202198
10 201853
11 201810
12 201837
13 201823
14 201714
15 201672
16 201632
17 201317
18 201332
19
L-theanine: A promising substance in tumor research
20125
20 2011115

About Wenkai Ren

Wenkai Ren is a scholar working on Biological Psychiatry, Animal Science and Zoology, Immunology, Endocrine and Autonomic Systems and Microbiology, having authored 144 papers that have together received 8.2k indexed citations. Recurring topics across this work include Gut microbiota and health (39 papers), Immune Cell Function and Interaction (15 papers), Immune cells in cancer (14 papers), Animal Virus Infections Studies (13 papers), Probiotics and Fermented Foods (13 papers), Animal Nutrition and Physiology (12 papers), Clostridium difficile and Clostridium perfringens research (12 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Biological Psychiatry (373 citations), Animal Science and Zoology (1.2k citations), Endocrine and Autonomic Systems (507 citations), Nutrition and Dietetics (888 citations) and Molecular Biology (3.8k citations). Wenkai Ren has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yulong Yin, Jie Yin, Gang Liu, Tiejun Li, Jielin Duan, Guoyao Wu, Shuai Chen, Bie Tan, Jinping Deng and Yuanyi Peng. Their work appears in journals such as Amino Acids, Frontiers in Immunology, Journal of Pineal Research, PLoS ONE and Science China Life Sciences.

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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