Sha Jin
- Hematology top 5%
- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 3
- Molecular Biology top 5%
- Cell death mechanisms and regulation 8
- Protein Degradation and Inhibitors 6
- Metabolomics and Mass Spectrometry Studies 2
- Oncology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 3
- Chronic Lymphocytic Leukemia Research 2
- Immunology top 10%
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- Bacteriophages and microbial interactions 2
- Co-authors
- Stephen K. TahirSaul H. RosenbergHaichao ZhangXiao YuSteven W. ElmoreMichael J. MittenPaul NimmerAlexander R. Shoemaker
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sha Jin
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Hematology 296
- Molecular Biology 1.6k
- Oncology 620
- Genetics 227
- Immunology 252
Countries citing papers authored by Sha Jin
This map shows the geographic impact of Sha Jin'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 Sha Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Jin more than expected).
Fields of papers citing papers by Sha Jin
This network shows the impact of papers produced by Sha Jin. 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 Sha Jin. The network helps show where Sha Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sha Jin, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 126 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 55 | |
| 12 | [Inhibitory Effect of Feiji Recipe on IDO Induced Immune Escape on the Murine Model of Lewis Lung Carcinoma]. | 2016 | 2 |
| 13 | 2015 | 43 | |
| 14 | 2014 | 1 | |
| 15 | 2012 | 33 | |
| 16 | 2011 | 119 | |
| 17 | 2010 | 33 | |
| 18 | ABT-263: A Potent and Orally Bioavailable Bcl-2 Family Inhibitorbreakdown → | 2008 | 1513 |
| 19 | 2007 | 69 | |
| 20 | 2002 | 101 |
About Sha Jin
Sha Jin is a scholar working on Biological Psychiatry, Hematology, Applied Microbiology and Biotechnology, Process Chemistry and Technology and Molecular Biology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (3 papers), Bacterial Genetics and Biotechnology (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bacteriophages and microbial interactions (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (296 citations), Molecular Biology (1.6k citations), Oncology (620 citations), Genetics (227 citations) and Immunology (252 citations). Sha Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stephen K. Tahir, Saul H. Rosenberg, Haichao Zhang, Xiao Yu, Steven W. Elmore, Michael J. Mitten, Paul Nimmer, Alexander R. Shoemaker, Jun Chen and Christin Tse. Their work appears in journals such as Blood, Nucleic Acids Research, Cancer Research, Molecular Cancer Therapeutics and Bioorganic & Medicinal Chemistry Letters.
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.