Zhen Ren

460 citations
23 papers · 360 · h-index 11

Impact in

Papers in

    • DNA Repair Mechanisms 5
    • Plant Gene Expression Analysis 2
    • RNA and protein synthesis mechanisms 2
    • Hemoglobin structure and function 4

Zhen Ren

22 papers receiving 354 citations

Peers

Zhen Ren
Comparison fields: 5 of 70
  • Microbiology 117
  • Endocrinology 24
  • Cell Biology 63
  • Endocrine and Autonomic Systems 24
  • Molecular Medicine 12
Replace Chiara Tani with:
Chiara Tani Italy
A Scharfman France
Fiona McDougall Australia
William I. Mariencheck United States
Stephanie Déjardin France
Likuan Xiong China
Jyoti Asundi United States
Yu Abe Japan
Tengguo Li United States
Amrita Kabi United States
Zhen Ren relative to Chiara Tani Italy Chiara Tani's profile →
Citations per field
00.5×4.8×
Chiara Tani · 1×
Citations per year

Countries citing papers authored by Zhen Ren

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199982
2 199847
3 199943
4 199643
5 199928
6 202021
7 202015
8 202314
9 201614
10 202011
11 202210
12 20206
13 20185
14 20234
15 20234
16 20233
17 20233
18 20152
19 20232
20 20181

About Zhen Ren

Zhen Ren is a scholar working on Molecular Biology, Cell Biology, Genetics, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 23 papers that have together received 360 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Hemoglobin structure and function (4 papers), Cancer Genomics and Diagnostics (2 papers), Plant Gene Expression Analysis (2 papers), BRCA gene mutations in cancer (2 papers), Plant Stress Responses and Tolerance (2 papers), Antibiotic Resistance in Bacteria (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Microbiology (117 citations), Endocrinology (24 citations), Cell Biology (63 citations), Endocrine and Autonomic Systems (24 citations) and Molecular Medicine (12 citations). Zhen Ren has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Daniel J. Morton, Terrence L. Stull, Paul W. Whitby, Chun Fu, Hosang Jin, Christopher A. Elkins, T L Stull, Chunying Zheng, Huan Yin and Liye Shi. Their work appears in journals such as Infection and Immunity, Medicine, Journal of Agricultural and Food Chemistry, Cancer Imaging and Future Oncology.

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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