Sang‐Jun Ha

12.6k total citations · 3 hit papers
141 papers, 9.6k citations indexed

About

Sang‐Jun Ha is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sang‐Jun Ha has authored 141 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Immunology, 51 papers in Oncology and 30 papers in Molecular Biology. Recurrent topics in Sang‐Jun Ha's work include Immune Cell Function and Interaction (65 papers), Immunotherapy and Immune Responses (43 papers) and T-cell and B-cell Immunology (38 papers). Sang‐Jun Ha is often cited by papers focused on Immune Cell Function and Interaction (65 papers), Immunotherapy and Immune Responses (43 papers) and T-cell and B-cell Immunology (38 papers). Sang‐Jun Ha collaborates with scholars based in South Korea, United States and Ethiopia. Sang‐Jun Ha's co-authors include Rafi Ahmed, Daniel L. Barber, E. John Wherry, Joseph N. Blattman, Susan M. Kaech, W. Nicholas Haining, Shruti Subramaniam, Gordon J. Freeman, Erin E. West and Hye Ryun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Sang‐Jun Ha

140 papers receiving 9.5k citations

Hit Papers

Molecular Signature of CD8+ T Cell Exhaustion during Chro... 2007 2026 2013 2019 2007 2007 2010 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sang‐Jun Ha South Korea 45 6.3k 3.8k 2.1k 1.3k 826 141 9.6k
W. Nicholas Haining United States 43 10.3k 1.6× 6.1k 1.6× 3.5k 1.6× 1.8k 1.4× 602 0.7× 78 14.5k
Makoto Kurachi Japan 26 5.7k 0.9× 4.2k 1.1× 1.8k 0.8× 697 0.5× 428 0.5× 43 8.2k
Pius Loetscher Switzerland 49 7.7k 1.2× 5.1k 1.3× 2.0k 1.0× 827 0.6× 438 0.5× 75 11.6k
Sergei V. Kotenko United States 54 7.6k 1.2× 3.3k 0.9× 1.9k 0.9× 3.0k 2.3× 508 0.6× 105 11.8k
Joseph N. Blattman United States 32 7.8k 1.2× 3.4k 0.9× 1.7k 0.8× 1.6k 1.2× 295 0.4× 51 10.0k
William Vermi Italy 54 8.5k 1.4× 3.4k 0.9× 2.2k 1.0× 999 0.8× 845 1.0× 157 12.3k
Axel Kallies Australia 57 9.6k 1.5× 2.9k 0.8× 2.2k 1.0× 916 0.7× 286 0.3× 156 12.4k
Ross M. Kedl United States 46 7.4k 1.2× 1.8k 0.5× 1.8k 0.9× 1.1k 0.9× 263 0.3× 119 9.4k
Derek N.J. Hart Australia 55 10.2k 1.6× 2.6k 0.7× 2.7k 1.2× 1.1k 0.8× 387 0.5× 237 13.0k
Lori Fitz United States 29 6.4k 1.0× 4.2k 1.1× 1.9k 0.9× 737 0.6× 693 0.8× 45 9.9k

Countries citing papers authored by Sang‐Jun Ha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sang‐Jun Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Jun Ha. A scholar is included among the top collaborators of Sang‐Jun Ha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang‐Jun Ha. Sang‐Jun Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kwon, Kee Woong, Jii Bum Lee, Su Jin Jeong, et al.. (2025). Mycobacterium tuberculosis-specific T cells restrain anti-cancer drug-induced neutrophilic lung inflammation in tuberculosis. Nature Communications. 16(1). 8875–8875. 2 indexed citations
2.
Lee, Yoojin, et al.. (2025). Amplified lung cancer hazards from surface defects in aged polypropylene microplastics. Chemical Engineering Journal. 514. 163302–163302. 1 indexed citations
3.
Zhang, Jingyan, Ke Fang, Sang‐Jun Ha, et al.. (2025). Ameliorating canopy urban heat island in block level: A holistic investigation into the radius, form, and typologies. Building and Environment. 282. 113281–113281. 2 indexed citations
4.
Kim, Dongyeop, et al.. (2025). CU06-1004 inhibits the progression of chronic colitis and colitis-associated colorectal cancer by suppressing inflammation. Frontiers in Pharmacology. 16. 1684870–1684870.
5.
Kim, Chan Yeong, et al.. (2024). MRGM: an enhanced catalog of mouse gut microbial genomes substantially broadening taxonomic and functional landscapes. Gut Microbes. 16(1). 2393791–2393791. 4 indexed citations
6.
Moon, Jihyun, Yul Ji, Young Jin, et al.. (2024). Dysfunctional adipocytes promote tumor progression through YAP/TAZ-dependent cancer-associated adipocyte transformation. Nature Communications. 15(1). 4052–4052. 21 indexed citations
7.
Seok, Joon, Sung‐Dong Cho, Su‐Young Kim, et al.. (2023). A virtual memory CD8+ T cell-originated subset causes alopecia areata through innate-like cytotoxicity. Nature Immunology. 24(8). 1308–1317. 20 indexed citations
9.
Jung, Keehoon, et al.. (2022). OASL1-Mediated Inhibition of Type I IFN Reduces Influenza A Infection-Induced Airway Inflammation by Regulating ILC2s. Allergy Asthma and Immunology Research. 14(1). 99–99. 8 indexed citations
10.
Kwon, Kee Woong, Kyung Soo Kim, Insuk Lee, et al.. (2022). Viral coinfection promotes tuberculosis immunopathogenesis by type I IFN signaling-dependent impediment of Th1 cell pulmonary influx. Nature Communications. 13(1). 3155–3155. 19 indexed citations
11.
Kim, Chang Gon, Gamin Kim, Kyung Hwan Kim, et al.. (2021). Distinct exhaustion features of T lymphocytes shape the tumor-immune microenvironment with therapeutic implication in patients with non-small-cell lung cancer. Journal for ImmunoTherapy of Cancer. 9(12). e002780–e002780. 29 indexed citations
12.
Park, Yunji, Young‐Min Kim, Jihae Kim, et al.. (2021). Niche-specific MHC II and PD-L1 regulate CD4+CD8αα+ intraepithelial lymphocyte differentiation. The Journal of Experimental Medicine. 218(4). 21 indexed citations
13.
Song, Myoung‐Chong, Dong Jin Park, Ji Hoon Oh, et al.. (2021). Biosynthesis of Nonimmunosuppressive ProlylFK506 Analogues with Neurite Outgrowth and Synaptogenic Activity. Journal of Natural Products. 84(2). 195–203. 4 indexed citations
14.
Chae, Sehyun, Jihyun Moon, Hankyu Lee, et al.. (2020). Combination of PD-L1 and PVR determines sensitivity to PD-1 blockade. JCI Insight. 5(14). 32 indexed citations
15.
Son, Jimin, Jihyun Moon, Hoyoung Lee, et al.. (2020). Tumor-Infiltrating Regulatory T-cell Accumulation in the Tumor Microenvironment Is Mediated by IL33/ST2 Signaling. Cancer Immunology Research. 8(11). 1393–1406. 38 indexed citations
17.
Park, Gayoung, Jeongmin Kim, Seon Ah Lim, et al.. (2019). CD160 serves as a negative regulator of NKT cells in acute hepatic injury. Nature Communications. 10(1). 25 indexed citations
18.
‍Lee, Kyung-Tae, Myoung‐Chong Song, Yeonseon Lee, et al.. (2019). Biosynthesis of Nonimmunosuppressive FK506 Analogues with Antifungal Activity. Journal of Natural Products. 82(8). 2078–2086. 20 indexed citations
19.
Kim, Tae‐Don, Sang Hwan Seo, Young Ho Ban, et al.. (2017). MicroRNA-150 modulates intracellular Ca 2+ levels in naïve CD8+ T cells by targeting TMEM20. Scientific Reports. 7(1). 2623–2623. 10 indexed citations
20.
Kim, Sun Mi, Oh-Joon Kwon, Yun Hong, et al.. (2012). Activation of IL-6R/JAK1/STAT3 Signaling Induces De Novo Resistance to Irreversible EGFR Inhibitors in Non–Small Cell Lung Cancer with T790M Resistance Mutation. Molecular Cancer Therapeutics. 11(10). 2254–2264. 172 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026