Tiejun Sun

654 citations
9 papers · 547 · h-index 8

Impact in

  • Genetics top 10%
    • Estrogen and related hormone effects
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Sphingolipid Metabolism and Signaling 1
    • Pharmacogenetics and Drug Metabolism 3

Tiejun Sun

9 papers receiving 530 citations

Peers

Tiejun Sun
Comparison fields: 5 of 63
  • Genetics 261
  • Reproductive Medicine 57
  • Endocrinology, Diabetes and Metabolism 106
  • Physiology 21
  • Obstetrics and Gynecology 29
Replace Diane M. Klotz with:
Diane M. Klotz United States
Michael Gilbert Germany
M. Perrot-Applanat France
S. E. Inkster United States
B J Bona United States
Van Luu The Canada
H.J. Steinfelder Germany
D A Freeman United States
Christoph Eisen Germany
Kevin L. Medlock United States
Tiejun Sun relative to Diane M. Klotz United States Diane M. Klotz's profile →
Citations per field
00.5×2.6×
Diane M. Klotz · 1×
Citations per year

Countries citing papers authored by Tiejun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Aromatase expression in health and disease.
1997296
2 201497
3 199872
4 199521
5 201518
6 199515
7 199511
8 199711
9 20206

About Tiejun Sun

Tiejun Sun is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics and Plant Science, having authored 9 papers that have together received 547 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Hormonal Regulation and Hypertension (2 papers), Hormonal and reproductive studies (2 papers), Reproductive System and Pregnancy (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Genetics (261 citations), Reproductive Medicine (57 citations), Endocrinology, Diabetes and Metabolism (106 citations), Physiology (21 citations) and Obstetrics and Gynecology (29 citations). Tiejun Sun has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ying Zhao, Evan R. Simpson, Margaret M. Hinshelwood, Carole R. Mendelson, Serdar E. Bulun, Kenan Qin, Sandra E. Graham-Lorence, Carolyn R. Fisher, David J. Mangelsdorf and Jianxin Wu. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, The Plant Cell, PLoS ONE, European Journal of Biochemistry and International Journal of Molecular Sciences.

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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