Jin Sha
- Aquatic Science top 5%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 2
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- Cardiovascular Function and Risk Factors 6
- Hematology top 10%
- Blood groups and transfusion 2
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- Epigenetics and DNA Methylation 4
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- Cardiac Imaging and Diagnostics 3
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- Erythrocyte Function and Pathophysiology 2
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- Liver Disease Diagnosis and Treatment 2
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- Donna K. ArnettDegui ZhiMarguerite R. IrvinDevin AbsherHemant K. TiwariJosé M. OrdovásBertha HidalgoSenthil Selvaraj
- Journals
- Transfusion (1 paper)Circulation Cardiovascular Imaging (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Jin Sha
18 papers receiving 728 citations
Peers
Comparison fields: 5 of 89
- Aquatic Science 75
- Genetics 212
- Cardiology and Cardiovascular Medicine 153
- Hematology 72
- Cancer Research 65
Countries citing papers authored by Jin Sha
This map shows the geographic impact of Jin Sha'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 Jin Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sha more than expected).
Fields of papers citing papers by Jin Sha
This network shows the impact of papers produced by Jin Sha. 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 Jin Sha. The network helps show where Jin Sha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Sha, 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 | 2023 | 6 | |
| 2 | 2019 | 14 | |
| 3 | 2018 | 3 | |
| 4 | 2016 | 61 | |
| 5 | 2016 | 62 | |
| 6 | 2016 | 65 | |
| 7 | 2015 | 119 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 18 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 57 | |
| 12 | 2014 | 16 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 29 | |
| 15 | 2013 | 6 | |
| 16 | 2013 | 53 | |
| 17 | 2013 | 66 | |
| 18 | 2013 | 113 |
About Jin Sha
Jin Sha is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Hematology, Genetics and Rheumatology, having authored 18 papers that have together received 738 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Epigenetics and DNA Methylation (4 papers), Cardiac Imaging and Diagnostics (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Aquatic Science (75 citations), Genetics (212 citations), Cardiology and Cardiovascular Medicine (153 citations), Hematology (72 citations) and Cancer Research (65 citations). Jin Sha has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Donna K. Arnett, Degui Zhi, Marguerite R. Irvin, Devin Absher, Hemant K. Tiwari, José M. Ordovás, Bertha Hidalgo, Senthil Selvaraj, Sanjiv J. Shah and Eva E. Martinez. Their work appears in journals such as Transfusion, Circulation Cardiovascular Imaging, International Journal of Cardiology, Annals of the Rheumatic Diseases and The Pharmacogenomics Journal.
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.