Zhenyan Li

55 papers receiving 624 citations

Peers

Zhenyan Li
Comparison fields: 5 of 115
  • Rheumatology 70
  • Molecular Medicine 21
  • Cancer Research 56
  • Immunology 68
  • Infectious Diseases 59
Replace Claudio Corallo with:
Claudio Corallo Italy
Manuel A. Tamargo United States
Carolina Caliári-Oliveira Brazil
Sijing Li China
Zhanqiu Dai China
Yusuke Sakai Japan
Barbara Dietel Germany
Zheng Zhou China
Ding-Yu Lee Taiwan
Marco Angelozzi United States
Zhenyan Li relative to Claudio Corallo Italy Claudio Corallo's profile →
Citations per field
00.5×2×4×6.7×
Claudio Corallo · 1×
Citations per year

Countries citing papers authored by Zhenyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202354
2 202242
3 202231
4 202331
5 202030
6 202130
7 201629
8 202429
9 202027
10 202126
11
Genome-wide DNA methylation and transcriptome changes in Mycobacterium tuberculosis with rifampicin and isoniazid resistance.
201823
12 201523
13 202023
14 202119
15 201916
16 201914
17 202514
18 202513
19 202311
20 202111

About Zhenyan Li

Zhenyan Li is a scholar working on Molecular Biology, Immunology, Rheumatology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 58 papers that have together received 629 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Tuberculosis Research and Epidemiology (4 papers), Biochemical and Molecular Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Rheumatology (70 citations), Molecular Medicine (21 citations), Cancer Research (56 citations), Immunology (68 citations) and Infectious Diseases (59 citations). Zhenyan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huan‐Tian Zhang, Zhengang Zha, Jie Yang, Zhengang Zha, Zhao Duan, Wang Tang, Bing Niu, Lin Zhou, Haicheng Li and Mingyu Zhang. Their work appears in journals such as Arthritis Research & Therapy, World Neurosurgery, Advanced Science, Scientific Reports and Osteoarthritis and Cartilage.

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.

Explore authors with similar magnitude of impact