Lijun Tan

4.4k citations
87 papers · 2.3k indexed · h-index 24
Topics
Genetic Associations and Epidemiology (15 papers)Bone Metabolism and Diseases (14 papers)RNA modifications and cancer (11 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsThe Journal of Immunology

In The Last Decade

Lijun Tan

83 papers receiving 2.3k citations

Peers

Lijun Tan
Comparison fields: 5 of 136
  • Molecular Biology 1.2k
  • Epidemiology 364
  • Oncology 347
  • Genetics 335
  • Cancer Research 331
Replace Daniel X. Tishkoff with:
Daniel X. Tishkoff United States
Stephen A. Stimpson United States
Davide Filippini Italy
Michael F. McEntee United States
Katherine L. Cook United States
Siegfried Ussar Germany
Osamu Wada‐Hiraike Japan
Ryuji Hiramatsu Japan
Maria Rita Rippo Italy
J. Gary Meszaros United States
Lijun Tan relative to Daniel X. Tishkoff United States Daniel X. Tishkoff's profile →
Citations per field
00.5×1.5×2.1×
Daniel X. Tishkoff · 1×
Citations per year

Countries citing papers authored by Lijun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Tan. A scholar is included among the top collaborators of Lijun Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lijun Tan. Lijun Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 1
3 5
4 3
5 1
6 5
7 19
8 71
9 12
10 25
11 0
12 55
13 12
14 20
15 18
16 15
17 11
18
Ginger induces apoptosis and autophagocytosis in ovarian cancer cells
3
19 40
20 5

About Lijun Tan

Lijun Tan is a scholar working on Orthopedics and Sports Medicine, Cancer Research and Geriatrics and Gerontology, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Bone Metabolism and Diseases (14 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Geriatrics and Gerontology (258 citations), Cancer Research (331 citations) and Physiology (90 citations). Lijun Tan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hong‐Wen Deng, Anthony W. Opipari, Xiang‐Ding Chen, Shu‐Feng Lei, Dorothy R. Sorenson, Anthony E. Boitano, Xue-Zhen Zhu, Fei‐Yan Deng, Heather Wahl and Christopher J. Papasian. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of Immunology.

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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