Sang‐Jun Ha
- Immunology top 0.2%
- Immune Cell Function and Interaction 65
- Immunotherapy and Immune Responses 43
- T-cell and B-cell Immunology 38
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 34
- CAR-T cell therapy research 10
- Virology top 1%
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 13
- Hepatology top 2%
-
- Lung Cancer Treatments and Mutations 11
-
- Mycobacterium research and diagnosis 7
- Co-authors
- Rafi AhmedDaniel L. BarberE. John WherryJoseph N. BlattmanShruti SubramaniamW. Nicholas HainingSusan M. KaechGordon J. Freeman
- Cited by
- ImmunologyOncologyVirology
- Journals
- Immune Network (10 papers)The Journal of Immunology (9 papers)Nature Communications (8 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sang‐Jun Ha
140 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 6.3k
- Oncology 3.8k
- Virology 541
- Infectious Diseases 761
- Hepatology 315
Countries citing papers authored by Sang‐Jun Ha
This map shows the geographic impact of Sang‐Jun Ha'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 Sang‐Jun Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Jun Ha more than expected).
Fields of papers citing papers by Sang‐Jun Ha
This network shows the impact of papers produced by Sang‐Jun Ha. 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 Sang‐Jun Ha. The network helps show where Sang‐Jun Ha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang‐Jun Ha, 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 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 38 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 10 | |
| 17 | 2018 | 81 | |
| 18 | 2017 | 10 | |
| 19 | 2017 | 7 | |
| 20 | 2012 | 172 |
About Sang‐Jun Ha
Sang‐Jun Ha is a scholar working on Immunology, Oncology and Infectious Diseases, having authored 141 papers that have together received 9.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (65 papers), Immunotherapy and Immune Responses (43 papers), T-cell and B-cell Immunology (38 papers), Cancer Immunotherapy and Biomarkers (34 papers), Tuberculosis Research and Epidemiology (13 papers), Lung Cancer Treatments and Mutations (11 papers), CAR-T cell therapy research (10 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Immunology (6.3k citations), Oncology (3.8k citations) and Virology (541 citations). Sang‐Jun Ha has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Rafi Ahmed, Daniel L. Barber, E. John Wherry, Joseph N. Blattman, Shruti Subramaniam, W. Nicholas Haining, Susan M. Kaech, Gordon J. Freeman, Erin E. West and Hye Ryun Kim. Their work appears in journals such as Immune Network, The Journal of Immunology, Nature Communications, Scientific Reports and PLoS ONE.
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.