Shang Li
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 9
- Aging top 5%
- Reproductive Medicine top 5%
- Ovarian function and disorders 14
- Molecular Biology top 5%
- RNA modifications and cancer 6
- Kruppel-like factors research 5
- DNA Repair Mechanisms 4
- Research and Theory top 10%
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- Reproductive Biology and Fertility 13
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- Workplace Health and Well-being 10
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- Reproductive System and Pregnancy 9
- Co-authors
- Elizabeth H. BlackburnYanzhi DuZi‐Jiang ChenJunyu ZhaiJian LiWeiwei ChuChristopher M. HaqqMing‐Rong Wang
- Journals
- Journal of Biological Chemistry (3 papers)EBioMedicine (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shang Li
92 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 653
- Aging 63
- Reproductive Medicine 248
- Molecular Biology 1.6k
- Research and Theory 19
Countries citing papers authored by Shang Li
This map shows the geographic impact of Shang 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 Shang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang Li more than expected).
Fields of papers citing papers by Shang Li
This network shows the impact of papers produced by Shang 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 Shang Li. The network helps show where Shang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shang Li, 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 | 2022 | 5 | |
| 2 | 2022 | 0 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 47 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 7 | |
| 8 | 2014 | 45 | |
| 9 | 2014 | 38 | |
| 10 | 2013 | 10 | |
| 11 | 2012 | 28 | |
| 12 | 2011 | 46 | |
| 13 | Effects of work stress and family stress on menses in female railway workers. | 2009 | 1 |
| 14 | Sleep Disorder and Health Functioning in Chinese Urban Occupational Population | 2009 | 1 |
| 15 | 2009 | 2 | |
| 16 | Association between Job Stress and Blood Pressure in 1 244 University Staff | 2009 | 1 |
| 17 | Cloning and Characterization of a Sex-Reversal-Related Gene ECaM in Epinephelus akaara Gonads | 2005 | 1 |
| 18 | 2005 | 128 | |
| 19 | 2004 | 153 | |
| 20 | Cloning and Screening of Differentially Expressed Genes from Sex-Reversed Gonad of Epinephelus akaara | 2004 | 1 |
About Shang Li
Shang Li is a scholar working on Reproductive Medicine, Cancer Research and Immunology, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Reproductive Biology and Fertility (13 papers), Workplace Health and Well-being (10 papers), Reproductive System and Pregnancy (9 papers), Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers), Kruppel-like factors research (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Cancer Research (653 citations), Aging (63 citations) and Reproductive Medicine (248 citations). Shang Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Elizabeth H. Blackburn, Yanzhi Du, Zi‐Jiang Chen, Junyu Zhai, Jian Li, Weiwei Chu, Christopher M. Haqq, Ming‐Rong Wang, Johannés Siegrist and Max S. Wicha. Their work appears in journals such as Journal of Biological Chemistry, EBioMedicine, Cancer Research, Oncotarget and Frontiers in Genetics.
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.