Yun‐Bo Shi
- Molecular Biology top 1%
- Genetics top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Immunology top 2%
- Cancer Research top 1%
- Co-authors
- Atsuko Ishizuya‐OkaLiezhen FuDaniel R. BuchholzJiemin WongDonald D. BrownLaurent M. SachsBindu D. PaulPeter M. Taylor
- Topics
- Thyroid Disorders and Treatments (74 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (55 papers)Growth Hormone and Insulin-like Growth Factors (36 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yun‐Bo Shi
311 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 6.0k
- Genetics 4.1k
- Endocrinology, Diabetes and Metabolism 3.1k
- Immunology 1.3k
- Cancer Research 1.3k
Countries citing papers authored by Yun‐Bo Shi
This map shows the geographic impact of Yun‐Bo Shi'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 Yun‐Bo Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Bo Shi more than expected).
Fields of papers citing papers by Yun‐Bo Shi
This network shows the impact of papers produced by Yun‐Bo Shi. 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 Yun‐Bo Shi. The network helps show where Yun‐Bo Shi may publish in the future.
Co-authorship network of co-authors of Yun‐Bo Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Bo Shi. A scholar is included among the top collaborators of Yun‐Bo Shi 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 Yun‐Bo Shi. Yun‐Bo Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 23 | |
| 14 | 8 | |
| 15 | 28 | |
| 16 | 20 | |
| 17 | 67 | |
| 18 | 17 | |
| 19 | 21 | |
| 20 | 26 |
About Yun‐Bo Shi
Yun‐Bo Shi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 324 papers that have together received 12.6k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (74 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (55 papers) and Growth Hormone and Insulin-like Growth Factors (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Genetics (4.1k citations) and Physiology (471 citations). Yun‐Bo Shi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Atsuko Ishizuya‐Oka, Liezhen Fu, Daniel R. Buchholz, Jiemin Wong, Donald D. Brown, Laurent M. Sachs, Bindu D. Paul, Peter M. Taylor, Sashko Damjanovski and John E. Hearst. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.