Regina Kwon

3.4k total citations · 1 hit paper
10 papers, 2.5k citations indexed

About

Regina Kwon is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Regina Kwon has authored 10 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Regina Kwon's work include Cancer Genomics and Diagnostics (3 papers), Renal cell carcinoma treatment (2 papers) and Healthcare Policy and Management (1 paper). Regina Kwon is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Renal cell carcinoma treatment (2 papers) and Healthcare Policy and Management (1 paper). Regina Kwon collaborates with scholars based in United States, Italy and China. Regina Kwon's co-authors include Giorgio V. Scagliotti, James L. Mulshine, Yi‐Long Wu, Fred R. Hirsch, Luis Paz‐Ares, Walter J. Curran, Christopher J. VandenBussche, M. Lisa Zhang, Andrés Matoso and Pedram Argani and has published in prestigious journals such as The Lancet, Blood and The American Journal of Surgical Pathology.

In The Last Decade

Regina Kwon

8 papers receiving 2.5k citations

Hit Papers

Lung cancer: current therapies and new targeted treatments 2016 2026 2019 2022 2016 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Regina Kwon United States 5 1.4k 1.1k 908 859 217 10 2.5k
Xi Jin China 26 1.3k 0.9× 668 0.6× 1.0k 1.1× 775 0.9× 326 1.5× 83 2.5k
Dong Lin Canada 30 1.7k 1.2× 1.1k 1.0× 1.0k 1.1× 593 0.7× 210 1.0× 99 2.9k
Humam Kadara United States 34 1.8k 1.3× 914 0.9× 900 1.0× 1.1k 1.3× 468 2.2× 95 3.2k
Xichun Hu China 28 1.2k 0.9× 770 0.7× 715 0.8× 1.3k 1.6× 150 0.7× 155 2.8k
Francesco Passiglia Italy 26 814 0.6× 1.2k 1.1× 629 0.7× 1.4k 1.6× 202 0.9× 104 2.4k
Sara Bravaccini Italy 27 806 0.6× 700 0.7× 659 0.7× 922 1.1× 145 0.7× 125 2.1k
Yuan Yuan United States 30 1.5k 1.1× 735 0.7× 1.2k 1.3× 1.7k 1.9× 425 2.0× 168 3.6k
Boon-Cher Goh Singapore 25 1.3k 1.0× 503 0.5× 771 0.8× 978 1.1× 182 0.8× 57 2.6k
Seok Yun Kang South Korea 24 1.4k 1.0× 598 0.6× 1.2k 1.3× 704 0.8× 136 0.6× 111 2.7k

Countries citing papers authored by Regina Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Regina Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Kwon

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

All Works

10 of 10 papers shown
1.
Kwon, Regina & Cecilia C.S. Yeung. (2023). Advances in next-generation sequencing and emerging technologies for hematologic malignancies. Haematologica. 109(2). 379–387. 4 indexed citations
2.
Kwon, Regina, Heather H. Cheng, & Colin C. Pritchard. (2023). Tumor Mutational Burden Testing in Solid Tumors. JAMA Oncology. 9(12). 1725–1725.
3.
Argani, Pedram, Doreen N. Palsgrove, Robert A. Anders, et al.. (2021). A Novel NIPBL-NACC1 Gene Fusion Is Characteristic of the Cholangioblastic Variant of Intrahepatic Cholangiocarcinoma. The American Journal of Surgical Pathology. 45(11). 1550–1560. 28 indexed citations
4.
Kwon, Regina, et al.. (2021). Comparison of Cervical Cancer Screen Results on Female-to-Male Transgender Patients With Female Patients. American Journal of Clinical Pathology. 157(4). 540–545. 8 indexed citations
5.
Morris, Meaghan, Regina Kwon, & Liam Chen. (2020). Pediatric Idiopathic Basal Ganglia Calcification and Spherocytosis With Chromosome 8p11 Deletion. Journal of Neuropathology & Experimental Neurology. 79(2). 238–241. 2 indexed citations
6.
Kwon, Regina, Pedram Argani, Jonathan I. Epstein, et al.. (2020). Contemporary Characterization and Recategorization of Adult Unclassified Renal Cell Carcinoma. The American Journal of Surgical Pathology. 45(4). 450–462. 8 indexed citations
7.
Kwon, Regina, M. Lisa Zhang, & Christopher J. VandenBussche. (2020). Considerations for remote learning in pathology during COVID‐19 social distancing. Cancer Cytopathology. 128(9). 642–647. 20 indexed citations
8.
Kwon, Regina & Amy S. Duffield. (2019). HTLV-1–associated adult T-cell leukemia/lymphoma with disseminated strongyloidiasis. Blood. 133(24). 2623–2623.
9.
Kwon, Regina, Larry A. Allen, Laura D. Scherer, et al.. (2018). The Effect of Total Cost Information on Consumer Treatment Decisions: An Experimental Survey. Medical Decision Making. 38(5). 584–592. 3 indexed citations
10.
Hirsch, Fred R., Giorgio V. Scagliotti, James L. Mulshine, et al.. (2016). Lung cancer: current therapies and new targeted treatments. The Lancet. 389(10066). 299–311. 2466 indexed citations breakdown →

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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