Yu Ren

475 citations
29 papers · 343 · h-index 11

Impact in

Papers in

Yu Ren

28 papers receiving 335 citations

Peers

Yu Ren
Comparison fields: 5 of 94
  • Statistics, Probability and Uncertainty 40
  • Pharmacology 32
  • Biochemistry 19
  • Pharmacology 48
  • Applied Microbiology and Biotechnology 5
Replace Kiran Dahiya with:
Kiran Dahiya India
Michael H. Cummings United Kingdom
Cody Braun United States
Daniela Nitcheva United States
Ivy L. Fowler United States
Alan Yean Yip Fong Malaysia
Maeve Sheehan United States
Na Su China
Olaf H. Klungel Netherlands
L. M. Strilchuk Ukraine
Yu Ren relative to Kiran Dahiya India Kiran Dahiya's profile →
Citations per field
00.5×
Kiran Dahiya · 1×
Citations per year

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200863
2 201156
3 201926
4 202125
5 201225
6 201322
7 201819
8 202116
9 202315
10 202111
11 202110
12 20169
13 20136
14 20136
15 20215
16 20235
17
[Results of a screening program on high incidence area of esophageal cancer in Yanting Sichuan from 2006 to 2011].
20124
18 20233
19 20233
20 20253

About Yu Ren

Yu Ren is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Biochemistry, having authored 29 papers that have together received 343 indexed citations. Recurring topics across this work include Blood transfusion and management (4 papers), Mesenchymal stem cell research (2 papers), Renal cell carcinoma treatment (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Periodontal Regeneration and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Diet and metabolism studies (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (40 citations), Pharmacology (32 citations), Biochemistry (19 citations), Pharmacology (48 citations) and Applied Microbiology and Biotechnology (5 citations). Yu Ren has collaborated with scholars based in China, Israel and United States. Frequent co-authors include Hua Luo, Jianjun He, Guangrong Zhou, Lizhe Zhu, Wei Gao, Shibo Yu, Xinli Huang, Jieshou Li, Ning Li and Qiurong Li. Their work appears in journals such as EFORT Open Reviews, Bioscience Reports, Lung, Medicine and Frontiers in Cell and Developmental Biology.

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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