Bo Tang
- Hematology top 1%
- Immunology top 1%
- Immunotherapy and Immune Responses 11
- T-cell and B-cell Immunology 8
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 6
- Cytokine Signaling Pathways and Interactions 6
- Cancer Research top 2%
- Genetics top 2%
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- Monoclonal and Polyclonal Antibodies Research 13
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- Cell Adhesion Molecules Research 8
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- Venous Thromboembolism Diagnosis and Management 6
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- Epigenetics and DNA Methylation 6
- Co-authors
- Tadamitsu KishimotoToshio HiranoTaolin YiTadashi MatsudaFrederick W. QuelleBruce A. WitthuhnOlli SilvennoinenOsamu Miura
- Cited by
- HematologyImmunologyOncology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bo Tang
109 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Hematology 1.1k
- Immunology 1.9k
- Oncology 2.4k
- Cancer Research 828
- Genetics 572
Countries citing papers authored by Bo Tang
This map shows the geographic impact of Bo Tang'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 Bo Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Tang more than expected).
Fields of papers citing papers by Bo Tang
This network shows the impact of papers produced by Bo Tang. 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 Bo Tang. The network helps show where Bo Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Tang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 69 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 13 | |
| 11 | 2017 | 88 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 107 | |
| 14 | 2014 | 17 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 1 | |
| 17 | 2002 | 34 | |
| 18 | 1994 | 91 | |
| 19 | JAK2 associates with the erythropoietin receptor and is tyrosine phosphorylated and activated following stimulation with erythropoietinbreakdown → | 1993 | 1030 |
| 20 | Autocrine generation and requirement of BSF-2/IL-6 for human multiple myelomasbreakdown → | 1988 | 1414 |
About Bo Tang
Bo Tang is a scholar working on Internal Medicine, Immunology and Allergy and Oncology, having authored 114 papers that have together received 6.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (8 papers), Cell Adhesion Molecules Research (8 papers), Drug Transport and Resistance Mechanisms (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (1.9k citations) and Oncology (2.4k citations). Bo Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tadamitsu Kishimoto, Toshio Hirano, Taolin Yi, Tadashi Matsuda, Frederick W. Quelle, Bruce A. Witthuhn, Olli Silvennoinen, Osamu Miura, Osamu Tanabe and Michio Kawano. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.