Tiejun Sun
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Reproductive Medicine top 10%
Papers in
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- Steroid Chemistry and Biochemistry 1
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Ying Zhao (2 shared papers)Evan R. Simpson (2 shared papers)Margaret M. Hinshelwood (2 shared papers)Kenan Qin (1 shared paper)Carole R. Mendelson (1 shared paper)Serdar E. Bulun (1 shared paper)Carolyn R. Fisher (1 shared paper)Sandra E. Graham-Lorence (1 shared paper)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (3 papers)International Journal of Molecular Sciences (1 paper)Endocrinology (1 paper)European Journal of Biochemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tiejun Sun
9 papers receiving 525 citations
Peers
Comparison fields: 5 of 63
- Genetics 273
- Reproductive Medicine 63
- Endocrinology, Diabetes and Metabolism 109
- Physiology 22
- Obstetrics and Gynecology 32
Countries citing papers authored by Tiejun Sun
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Aromatase expression in health and disease. | 1997 | 295 |
| 2 | 2014 | 95 | |
| 3 | 1998 | 72 | |
| 4 | 1995 | 21 | |
| 5 | 2015 | 17 | |
| 6 | 1995 | 15 | |
| 7 | 1995 | 11 | |
| 8 | 1997 | 11 | |
| 9 | 2020 | 5 |
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 542 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), Reproductive System and Pregnancy (2 papers), Hormonal and reproductive studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Plant Molecular Biology Research (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Genetics (273 citations), Reproductive Medicine (63 citations), Endocrinology, Diabetes and Metabolism (109 citations), Physiology (22 citations) and Obstetrics and Gynecology (32 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, Kenan Qin, Carole R. Mendelson, Serdar E. Bulun, Carolyn R. Fisher, Sandra E. Graham-Lorence, David J. Mangelsdorf and Nan Yao. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, International Journal of Molecular Sciences, Endocrinology, European Journal of Biochemistry and PLoS ONE.
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.