Jian Tan

3.4k citations
37 papers · 2.8k indexed · h-index 25
Topics
Estrogen and related hormone effects (9 papers)Reproductive System and Pregnancy (8 papers)melanin and skin pigmentation (5 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Jian Tan

36 papers receiving 2.8k citations

Peers

Jian Tan
Comparison fields: 5 of 101
  • Molecular Biology 1.3k
  • Immunology 862
  • Genetics 632
  • Reproductive Medicine 547
  • Oncology 378
Replace K.M.J. Menon with:
K.M.J. Menon United States
Jianxin Sun United States
Kazuhiro Ikeda Japan
Naifang Lu United States
Nafis A. Rahman Finland
Toshifumi Takahashi Japan
Tomoko Kaneko-Tarui Japan
Mee‐Sup Yoon South Korea
James C. Garmey United States
Sherry F. Grissom United States
Jian Tan relative to K.M.J. Menon United States K.M.J. Menon's profile →
Citations per field
00.5×1.5×2.4×
K.M.J. Menon · 1×
Citations per year

Countries citing papers authored by Jian Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jian Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Tan. A scholar is included among the top collaborators of Jian 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 Jian Tan. Jian 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 0
2 4
3 5
4 19
5 31
6 27
7
Reduced expression of SCF in serum and follicle from patients with polycystic ovary syndrome.
4
8 22
9 47
10 35
11 58
12 68
13 64
14 122
15 95
16 66
17 114
18 69
19 69
20
[Nilestriol prevents osteoporosis in ovariectomized rats].
1

About Jian Tan

Jian Tan is a scholar working on Reproductive Medicine, Cell Biology and Immunology, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Reproductive System and Pregnancy (8 papers) and melanin and skin pigmentation (5 papers). The work is most often cited by research in Reproductive Medicine (547 citations), Immunology (862 citations) and Obstetrics and Gynecology (255 citations). Jian Tan has collaborated with scholars based in United States, China and France. Frequent co-authors include Sudhansu K. Dey, Bibhash C. Paria, Sanjoy K. Das, Raymond N. DuBois, Mark W. Geraci, Rajnish A. Gupta, Timothy M. Willson, Cathrin Brisken, Andrew P. McMahon and Tony E. Chavarria. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

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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