Chang H. Kim

20.1k total citations · 6 hit papers
217 papers, 15.8k citations indexed

About

Chang H. Kim is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Chang H. Kim has authored 217 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Immunology, 48 papers in Oncology and 38 papers in Molecular Biology. Recurrent topics in Chang H. Kim's work include Immune Cell Function and Interaction (81 papers), T-cell and B-cell Immunology (67 papers) and Immunotherapy and Immune Responses (60 papers). Chang H. Kim is often cited by papers focused on Immune Cell Function and Interaction (81 papers), T-cell and B-cell Immunology (67 papers) and Immunotherapy and Immune Responses (60 papers). Chang H. Kim collaborates with scholars based in United States, South Korea and France. Chang H. Kim's co-authors include Hal E. Broxmeyer, Myunghoo Kim, Eugene C. Butcher, Seung Goo Kang, Hyung W. Lim, Jeongho Park, Peter Hillsamer, Myung H. Kim, Daniel Campbell and Lusijah Rott and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Chang H. Kim

210 papers receiving 15.6k citations

Hit Papers

Short-chain fatty acids i... 2013 2026 2017 2021 2014 2013 2016 2014 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang H. Kim United States 65 8.5k 4.7k 3.5k 1.7k 1.1k 217 15.8k
Louis Boon Netherlands 72 10.3k 1.2× 3.8k 0.8× 3.1k 0.9× 2.0k 1.2× 1.6k 1.5× 376 17.7k
Jürgen Scheller Germany 59 6.4k 0.8× 5.0k 1.1× 5.7k 1.6× 1.3k 0.8× 1.1k 1.1× 195 16.7k
Christoph Loddenkemper Germany 65 5.5k 0.6× 3.7k 0.8× 2.4k 0.7× 1.3k 0.7× 1.5k 1.4× 270 14.8k
Masayuki Miyasaka Japan 78 8.8k 1.0× 6.0k 1.3× 2.6k 0.7× 1.8k 1.1× 2.0k 1.9× 370 19.3k
Jan Buer Germany 67 8.1k 0.9× 6.0k 1.3× 2.6k 0.7× 1.1k 0.7× 939 0.9× 319 17.8k
Georg Kraal Netherlands 66 9.6k 1.1× 3.9k 0.8× 1.6k 0.5× 1.6k 0.9× 1.4k 1.3× 217 16.5k
Masaaki Murakami Japan 49 5.5k 0.7× 3.3k 0.7× 3.6k 1.0× 696 0.4× 649 0.6× 221 12.8k
Liwei Lu China 66 6.5k 0.8× 3.4k 0.7× 1.7k 0.5× 1.4k 0.8× 1.3k 1.2× 315 13.5k
Christopher D. Buckley United Kingdom 81 8.7k 1.0× 6.3k 1.3× 3.6k 1.0× 1.5k 0.9× 1.7k 1.6× 388 22.5k
Haruki Okamura Japan 62 11.0k 1.3× 8.4k 1.8× 2.1k 0.6× 1.5k 0.9× 1.4k 1.3× 238 18.7k

Countries citing papers authored by Chang H. Kim

Since Specialization
Citations

This map shows the geographic impact of Chang H. Kim'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 Chang H. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang H. Kim more than expected).

Fields of papers citing papers by Chang H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang H. Kim. 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 Chang H. Kim. The network helps show where Chang H. Kim may publish in the future.

Co-authorship network of co-authors of Chang H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang H. Kim. A scholar is included among the top collaborators of Chang H. Kim 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 Chang H. Kim. Chang H. Kim 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.
Kim, Chang H.. (2025). Functional regulation of cytotoxic T Cells by gut microbial metabolites. PubMed. 2(1). 1–16. 1 indexed citations
2.
Raya‐Sandino, Arturo, Jael Miranda, Shuling Fan, et al.. (2024). Critical role of thrombospondin-1 in promoting intestinal mucosal wound repair. JCI Insight. 9(17). 3 indexed citations
3.
Farazuddin, Mohammad, Leon Friesen, Jeffrey J. Landers, et al.. (2023). Retinoic Acid Signaling Is Required for Dendritic Cell Maturation and the Induction of T Cell Immunity. ImmunoHorizons. 7(6). 480–492. 5 indexed citations
4.
Chandika, Pathum, Tae‐Hee Kim, Jae‐Young Je, et al.. (2022). Marine Biological Macromolecules and Chemically Modified Macromolecules; Potential Anticoagulants. Marine Drugs. 20(10). 654–654. 12 indexed citations
5.
Houghton, Oisín, Peter Stewart, Chang H. Kim, et al.. (2020). A novel next generation sequencing approach to improve sarcoma diagnosis. Modern Pathology. 33(7). 1350–1359. 19 indexed citations
6.
Park, Jeongho, Qin Wang, Qi Wu, Yang Mao‐Draayer, & Chang H. Kim. (2019). Bidirectional regulatory potentials of short-chain fatty acids and their G-protein-coupled receptors in autoimmune neuroinflammation. Scientific Reports. 9(1). 8837–8837. 138 indexed citations
7.
Kim, Chang H.. (2015). A Functional Relay from Progesterone to Vitamin D in the Immune System. DNA and Cell Biology. 34(6). 379–382. 12 indexed citations
8.
Kim, Chang H., Sadeer Al‐Kindi, & Guilherme H. Oliveira. (2015). Anthracycline Cardiotoxicity: Strategies for Prevention and Intervention. 2(4). e9–e12. 1 indexed citations
9.
Lim, Kyung‐Min, et al.. (2012). Short-Run and Long-Run Elasticities of Diesel Demand in Korea. Energies. 5(12). 5055–5064. 12 indexed citations
10.
Wang, Chuanwu, Seung Goo Kang, Harm HogenEsch, Paul E. Love, & Chang H. Kim. (2010). Retinoic Acid Determines the Precise Tissue Tropism of Inflammatory Th17 Cells in the Intestine. The Journal of Immunology. 184(10). 5519–5526. 80 indexed citations
11.
Wang, Chuanwu, et al.. (2009). CCR6 regulates the migration and effector function of Th17 cells in the gut (96.2). The Journal of Immunology. 182(Supplement_1). 96.2–96.2. 1 indexed citations
12.
Kang, Seung Goo, Hyung W. Lim, Ourania Andrisani, Hal E. Broxmeyer, & Chang H. Kim. (2007). Vitamin A Metabolites Induce Gut-Homing FoxP3+ Regulatory T Cells. The Journal of Immunology. 179(6). 3724–3733. 251 indexed citations
13.
Kim, Chang H., et al.. (2006). A phenolic compound, 5-caffeoylquinic acid (chlorogenic acid), is a new type and strong matrix metalloproteinase-9 inhibitor. 144–144. 2 indexed citations
14.
Broxmeyer, Hal E., Scott Cooper, Giao Hangoc, & Chang H. Kim. (2005). Stromal Cell-Derived Factor-1/CXCL12 Selectively Counteracts Inhibitory Effects of Myelosuppressive Chemokines on Hematopoietic Progenitor Cell Proliferation In Vitro. Stem Cells and Development. 14(2). 199–203. 18 indexed citations
15.
Seok, Seung Hyeok, et al.. (2005). Safety Assessment of Lactobacillus fermentum PL9005, a Potential Probiotic Lactic Acid Bacterium, in Mice. Journal of Microbiology and Biotechnology. 15(3). 603–608. 21 indexed citations
16.
Lim, Hyung W., Peter Hillsamer, Alison H. Banham, & Chang H. Kim. (2005). Cutting Edge: Direct Suppression of B Cells by CD4+CD25+ Regulatory T Cells. The Journal of Immunology. 175(7). 4180–4183. 476 indexed citations
18.
Kim, Chang H., Kinya Nagata, & Eugene C. Butcher. (2003). Dendritic Cells Support Sequential Reprogramming of Chemoattractant Receptor Profiles During Naive to Effector T Cell Differentiation. The Journal of Immunology. 171(1). 152–158. 62 indexed citations
19.
Johnston, Brent, Chang H. Kim, Dulce Soler, Masashi Emoto, & Eugene C. Butcher. (2003). Differential Chemokine Responses and Homing Patterns of Murine TCRαβ NKT Cell Subsets. The Journal of Immunology. 171(6). 2960–2969. 149 indexed citations
20.
Kim, Chang H., Lusijah Rott, Eric J. Kunkel, et al.. (2001). Rules of chemokine receptor association with T cell polarization in vivo. Journal of Clinical Investigation. 108(9). 1331–1339. 24 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.

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