Joyce B. Kang

714 total citations
11 papers, 168 citations indexed

About

Joyce B. Kang is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Joyce B. Kang has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in Joyce B. Kang's work include Single-cell and spatial transcriptomics (5 papers), Genetic Associations and Epidemiology (3 papers) and T-cell and B-cell Immunology (3 papers). Joyce B. Kang is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Genetic Associations and Epidemiology (3 papers) and T-cell and B-cell Immunology (3 papers). Joyce B. Kang collaborates with scholars based in United States, United Kingdom and Japan. Joyce B. Kang's co-authors include Soumya Raychaudhuri, Aparna Nathan, Kazuyoshi Ishigaki, Deepak A. Rao, Kristen E. Pauken, A. Helena Jonsson, Arlene H. Sharpe, Kaitlyn A. Lagattuta, Anshul Kundaje and Rui Li and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

In The Last Decade

Joyce B. Kang

11 papers receiving 167 citations

Peers

Joyce B. Kang
Ajay Nadig United States
Francesco Gavazzi United States
Helen Ray-Jones United Kingdom
Jialin Mai China
Fabiola Curion United Kingdom
Samuel Koller Switzerland
Rebecca King United States
William A. Nyberg United States
Amit Kawalia Germany
Stephan Winklmeier Germany
Ajay Nadig United States
Joyce B. Kang
Citations per year, relative to Joyce B. Kang Joyce B. Kang (= 1×) peers Ajay Nadig

Countries citing papers authored by Joyce B. Kang

Since Specialization
Citations

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

Fields of papers citing papers by Joyce B. Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joyce B. Kang. 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 Joyce B. Kang. The network helps show where Joyce B. Kang may publish in the future.

Co-authorship network of co-authors of Joyce B. Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Joyce B. Kang. A scholar is included among the top collaborators of Joyce B. Kang 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 Joyce B. Kang. Joyce B. Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Krishna, Chirag, Joshua Chiou, Saori Sakaue, et al.. (2024). The influence of HLA genetic variation on plasma protein expression. Nature Communications. 15(1). 6469–6469. 3 indexed citations
2.
Rumker, Laurie, Saori Sakaue, Yakir Reshef, et al.. (2024). Identifying genetic variants that influence the abundance of cell states in single-cell data. Nature Genetics. 56(10). 2068–2077. 3 indexed citations
3.
Sakaue, Saori, Michelle Curtis, Yang Luo, et al.. (2023). Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nature Protocols. 18(9). 2625–2641. 18 indexed citations
4.
Halawa, Omar, Joyce B. Kang, Gahee Oh, et al.. (2023). Relationship between Claims-Based Frailty Index and Eye Care Utilization among Medicare Beneficiaries with Glaucoma. Ophthalmology. 130(6). 646–654. 5 indexed citations
5.
Kang, Joyce B., Alessandro Raveane, Aparna Nathan, Nicole Soranzo, & Soumya Raychaudhuri. (2023). Methods and Insights from Single-Cell Expression Quantitative Trait Loci. Annual Review of Genomics and Human Genetics. 24(1). 277–303. 19 indexed citations
6.
Lagattuta, Kaitlyn A., Joyce B. Kang, Aparna Nathan, et al.. (2022). Repertoire analyses reveal T cell antigen receptor sequence features that influence T cell fate. Nature Immunology. 23(3). 446–457. 41 indexed citations
7.
Wang, Sean K., Surag Nair, Rui Li, et al.. (2022). Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases. Cell Genomics. 2(8). 100164–100164. 38 indexed citations
8.
Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing Statistical Power to Detect Differentially Abundant Cell States With scPOST. SSRN Electronic Journal. 1 indexed citations
9.
Reshef, Yakir, Laurie Rumker, Joyce B. Kang, et al.. (2021). Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics. Nature Biotechnology. 40(3). 355–363. 27 indexed citations
10.
Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing statistical power to detect differentially abundant cell states with scPOST. Cell Reports Methods. 1(8). 100120–100120. 3 indexed citations
11.
Bratt, Gene W., et al.. (2002). Coupler and Real-Ear Measurement of Hearing Aid Gain and Output in the NIDCD/VA Hearing Aid Clinical Trial. Ear and Hearing. 23(4). 308–315. 10 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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2026