Sha Tian
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
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- Insect Resistance and Genetics 3
- Angiogenesis and VEGF in Cancer 3
- Epigenetics and DNA Methylation 3
-
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 3
- Co-authors
- Scott W. Lowe (11 shared papers)Timour Baslan (8 shared papers)Susan Chyou (6 shared papers)Theresa T. Lu (6 shared papers)Steven D. Douglas (3 shared papers)Changjiang Guo (3 shared papers)Francisco J. Sánchez‐Rivera (4 shared papers)Chi-Chao Chen (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Investigative Medicine (2 papers)Blood (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sha Tian
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Virology 126
- Immunology 405
- Cancer Research 218
- Oncology 327
- Molecular Biology 644
Countries citing papers authored by Sha Tian
This map shows the geographic impact of Sha Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Tian more than expected).
Fields of papers citing papers by Sha Tian
This network shows the impact of papers produced by Sha Tian. 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 Tian. The network helps show where Sha Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 286 | |
| 2 | 2019 | 209 | |
| 3 | 2017 | 116 | |
| 4 | 2002 | 107 | |
| 5 | 2008 | 107 | |
| 6 | 2011 | 97 | |
| 7 | 2002 | 92 | |
| 8 | 2013 | 77 | |
| 9 | 2021 | 53 | |
| 10 | 2022 | 51 | |
| 11 | 2016 | 39 | |
| 12 | 2010 | 36 | |
| 13 | 2022 | 34 | |
| 14 | 2017 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2016 | 19 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 13 | |
| 19 | 2002 | 13 | |
| 20 | 2024 | 12 |
About Sha Tian
Sha Tian is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Insect Utilization and Effects (3 papers), Insect Resistance and Genetics (3 papers), Lymphatic System and Diseases (3 papers), Immune cells in cancer (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Virology (126 citations), Immunology (405 citations), Cancer Research (218 citations), Oncology (327 citations) and Molecular Biology (644 citations). Sha Tian has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Scott W. Lowe, Timour Baslan, Susan Chyou, Theresa T. Lu, Steven D. Douglas, Changjiang Guo, Francisco J. Sánchez‐Rivera, Chi-Chao Chen, Yu-Jui Ho and Yuan Li. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Investigative Medicine, Blood and Briefings in Bioinformatics.
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.