Kevin Chang

548 total citations
21 papers, 272 citations indexed

About

Kevin Chang is a scholar working on Immunology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kevin Chang has authored 21 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Chang's work include Complexity and Algorithms in Graphs (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (3 papers). Kevin Chang is often cited by papers focused on Complexity and Algorithms in Graphs (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (3 papers). Kevin Chang collaborates with scholars based in United States, Germany and United Kingdom. Kevin Chang's co-authors include James Aspnes, Aleksandr Yampolskiy, Jeffrey A. Hubbell, Aslan Mansurov, Ravi Kannan, Suzana Gomes, Aaron T. Alpar, Melody A. Swartz, Ani Solanki and Jun Ishihara and has published in prestigious journals such as Chemical Society Reviews, Blood and Clinical Cancer Research.

In The Last Decade

Kevin Chang

18 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Chang United States 8 83 60 54 47 46 21 272
Fan Ding China 10 73 0.9× 20 0.3× 20 0.4× 7 0.1× 113 2.5× 44 320
Guanghui Wang China 15 159 1.9× 45 0.8× 108 2.0× 11 0.2× 369 8.0× 35 707
Anurag Singh India 12 224 2.7× 5 0.1× 17 0.3× 12 0.3× 41 0.9× 62 364
Steve Harris United Kingdom 10 15 0.2× 20 0.3× 47 0.9× 13 0.3× 233 5.1× 29 533
Malay Bhattacharyya India 13 20 0.2× 12 0.2× 13 0.2× 42 0.9× 262 5.7× 58 465
Rajmonda S. Caceres United States 8 45 0.5× 9 0.1× 10 0.2× 4 0.1× 55 1.2× 16 183
Su Deng China 10 40 0.5× 11 0.2× 11 0.2× 16 0.3× 60 1.3× 64 357
Juntao Tan China 15 11 0.1× 21 0.3× 22 0.4× 45 1.0× 100 2.2× 39 622
Xuechen Li China 9 93 1.1× 52 0.9× 38 0.7× 2 0.0× 52 1.1× 12 368
Yaguang Liu United States 10 141 1.7× 61 1.0× 35 0.6× 75 1.6× 37 419

Countries citing papers authored by Kevin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Chang. A scholar is included among the top collaborators of Kevin Chang 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 Kevin Chang. Kevin Chang 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.
Ung, Trevor, Kevin Chang, Shijie Cao, et al.. (2025). Liver-targeted allergen immunotherapy rapidly and safely induces antigen-specific tolerance to treat allergic airway disease in mice. Science Translational Medicine. 17(794). eadl0406–eadl0406. 2 indexed citations
2.
Chang, Kevin. (2025). A $v_1$-banded vanishing line for the mod 2 Moore spectrum. Homology Homotopy and Applications. 27(1). 29–49.
3.
Chang, Kevin, et al.. (2025). Secretory stimuli distinctly regulate insulin secretory granule maturation through structural remodeling. Structure. 33(11). 1831–1843.e4. 1 indexed citations
4.
Alpar, Aaron T., et al.. (2025). Thermoreversibly assembled polymersomes for highly efficient loading, processing and delivery of protein and siRNA biologics. Nature Biomedical Engineering. 10(3). 427–444.
5.
Chang, Kevin, Aaron T. Alpar, Ani Solanki, et al.. (2024). Cysteine-binding adjuvant enhances survival and promotes immune function in a murine model of acute myeloid leukemia. Blood Advances. 8(7). 1747–1759. 2 indexed citations
6.
Chang, Kevin, et al.. (2024). Therapeutic synthetic and natural materials for immunoengineering. Chemical Society Reviews. 53(4). 1789–1822. 15 indexed citations
7.
Chang, Kevin, et al.. (2024). Citation: A Key to Building Responsible and Accountable Large Language Models. 464–473. 7 indexed citations
8.
Chang, Kevin, Jun Zhu, Corynn Kasap, et al.. (2024). Abstract PR008: Modulating the PPARγ pathway to augment NECTIN4-targeting chimeric antigen receptor (CAR) T cell therapy. Clinical Cancer Research. 30(10_Supplement). PR008–PR008.
9.
Mansurov, Aslan, Lisa R. Volpatti, Kevin Chang, et al.. (2023). Engineered IL-7 synergizes with IL-12 immunotherapy to prevent T cell exhaustion and promote memory without exacerbating toxicity. Science Advances. 9(48). eadh9879–eadh9879. 17 indexed citations
10.
Hauert, Sylvie, Kevin Chang, Aaron T. Alpar, et al.. (2023). Membrane-localized neoantigens predict the efficacy of cancer immunotherapy. Cell Reports Medicine. 4(8). 101145–101145. 4 indexed citations
11.
Mansurov, Aslan, Peyman Hosseinchi, Kevin Chang, et al.. (2022). Masking the immunotoxicity of interleukin-12 by fusing it with a domain of its receptor via a tumour-protease-cleavable linker. Nature Biomedical Engineering. 6(7). 819–829. 63 indexed citations
12.
Mansurov, Aslan, Michal M. Raczy, Kevin Chang, et al.. (2022). Tumor Cell-Surface Binding of Immune Stimulating Polymeric Glyco-Adjuvant via Cysteine-Reactive Pyridyl Disulfide Promotes Antitumor Immunity. ACS Central Science. 8(10). 1435–1446. 18 indexed citations
13.
Darlington, Daniel N., Xiaowu Wu, Kevin Chang, James A. Bynum, & P. Andrew. (2019). Regulation of Platelet Function By Adenosine Receptors. Blood. 134(Supplement_1). 2348–2348. 3 indexed citations
14.
Chan, T-H. Hubert, Kevin Chang, & Rajiv Raman. (2013). An SDP Primal-Dual Algorithm for Approximating the Lovász-Theta Function. Algorithmica. 69(3). 605–618. 1 indexed citations
15.
Chan, T-H. Hubert, Kevin Chang, & Rajiv Raman. (2009). An SDP primal-dual algorithm for approximating the Lovász-theta function. The HKU Scholars Hub (University of Hong Kong). 2808–2812. 10 indexed citations
16.
Chang, Kevin & Ravi Kannan. (2009). Pass-Efficient Algorithms for Learning Mixtures of Uniform Distributions. SIAM Journal on Computing. 39(3). 783–812. 2 indexed citations
17.
Chang, Kevin & Ravi Kannan. (2006). The space complexity of pass-efficient algorithms for clustering. Symposium on Discrete Algorithms. 1157–1166. 9 indexed citations
18.
Aspnes, James, Kevin Chang, & Aleksandr Yampolskiy. (2006). Inoculation strategies for victims of viruses and the sum-of-squares partition problem. Journal of Computer and System Sciences. 72(6). 1077–1093. 82 indexed citations
19.
Chang, Kevin & Ravi Kannan. (2006). The space complexity of pass-efficient algorithms for clustering. 1157–1166. 2 indexed citations
20.
Aspnes, James, Kevin Chang, & Aleksandr Yampolskiy. (2005). Inoculation strategies for victims of viruses and the sum-of-squares partition problem. Symposium on Discrete Algorithms. 43–52. 33 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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