David S.L. Kim

521 total citations
8 papers, 406 citations indexed

About

David S.L. Kim is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, David S.L. Kim has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology and Allergy. Recurrent topics in David S.L. Kim's work include Genomics and Chromatin Dynamics (3 papers), Nuclear Structure and Function (2 papers) and Immunotherapy and Immune Responses (2 papers). David S.L. Kim is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Nuclear Structure and Function (2 papers) and Immunotherapy and Immune Responses (2 papers). David S.L. Kim collaborates with scholars based in United States, Canada and Germany. David S.L. Kim's co-authors include David M. Markovitz, Michael S. Khodadoust, Ferdinand Kappes, Jürgen Ruland, Shufang Gu, Peter Kuffa, Arul M. Chinnaiyan, Tak W. Mak, Gabriel Núñez and Peter C. Lucas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

David S.L. Kim

8 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S.L. Kim United States	7	238	144	118	101	62	8	406
Hong‐Yong Cui China	14	434 1.8×	211 1.5×	106 0.9×	93 0.9×	27 0.4×	21	555
Simon Strietholt Germany	7	193 0.8×	97 0.7×	83 0.7×	63 0.6×	29 0.5×	10	368
Cristiana Matache Romania	9	131 0.6×	132 0.9×	96 0.8×	105 1.0×	33 0.5×	12	343
Moamen Bydoun Canada	6	337 1.4×	94 0.7×	106 0.9×	182 1.8×	31 0.5×	8	460
Julian Burks United States	11	289 1.2×	262 1.8×	186 1.6×	60 0.6×	39 0.6×	16	493
Lizhi Zhang United States	10	309 1.3×	84 0.6×	163 1.4×	104 1.0×	21 0.3×	18	474
Claudia Tredup Germany	10	219 0.9×	93 0.6×	69 0.6×	80 0.8×	63 1.0×	15	415
Leona Rohrbeck Australia	8	214 0.9×	129 0.9×	70 0.6×	47 0.5×	15 0.2×	8	355
Matthieu Broussas France	10	134 0.6×	83 0.6×	94 0.8×	38 0.4×	30 0.5×	20	341
Judit López‐Luque Spain	8	179 0.8×	80 0.6×	95 0.8×	70 0.7×	13 0.2×	8	368

Countries citing papers authored by David S.L. Kim

Since Specialization

Citations

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

Fields of papers citing papers by David S.L. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S.L. 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 David S.L. Kim. The network helps show where David S.L. Kim may publish in the future.

Co-authorship network of co-authors of David S.L. Kim

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

All Works

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8 of 8 papers shown

1.

Allaire, Patrick D., Jing He, John E. Mayer, et al.. (2023). Genetic and clinical determinants of telomere length. Human Genetics and Genomics Advances. 4(3). 100201–100201. 11 indexed citations

2.

Mehra, Rohit, Saravana M. Dhanasekaran, Nallasivam Palanisamy, et al.. (2013). Comprehensive Analysis of ETS Family Members in Melanoma by Fluorescence In Situ Hybridization Reveals Recurrent ETV1 Amplification. Translational Oncology. 6(4). 405–412. 9 indexed citations

3.

Owen, William R., et al.. (2012). Blastomycosis Presenting as a Nonhealing Wound. Advances in Skin & Wound Care. 25(7). 321–323. 1 indexed citations

4.

Kappes, Ferdinand, Michael S. Khodadoust, Limin Yu, et al.. (2011). DEK expression in melanocytic lesions. Human Pathology. 42(7). 932–938. 25 indexed citations

5.

Harms, Paul W., et al.. (2010). Expression of the embryonic morphogen Nodal in cutaneous melanocytic lesions. Modern Pathology. 23(9). 1209–1214. 23 indexed citations

6.

Khodadoust, Michael S., Monique Verhaegen, Ferdinand Kappes, et al.. (2009). Melanoma Proliferation and Chemoresistance Controlled by the DEK Oncogene. Cancer Research. 69(16). 6405–6413. 109 indexed citations

7.

McAllister‐Lucas, Linda M., Jürgen Ruland, Xiaohong Jin, et al.. (2006). CARMA3/Bcl10/MALT1-dependent NF-κB activation mediates angiotensin II-responsive inflammatory signaling in nonimmune cells. Proceedings of the National Academy of Sciences. 104(1). 139–144. 140 indexed citations

8.

Smithson, Glennda, Clare Rogers, Peter L. Smith, et al.. (2001). Fuc-Tvii Is Required for T Helper 1 and T Cytotoxic 1 Lymphocyte Selectin Ligand Expression and Recruitment in Inflammation, and Together with Fuc-Tiv Regulates Naive T Cell Trafficking to Lymph Nodes. The Journal of Experimental Medicine. 194(5). 601–614. 88 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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