S. Kim

19 total papers · 407 total citations
7 papers, 90 citations indexed

About

S. Kim is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, S. Kim has authored 7 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in S. Kim's work include Neuroendocrine Tumor Research Advances (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). S. Kim is often cited by papers focused on Neuroendocrine Tumor Research Advances (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). S. Kim collaborates with scholars based in United States. S. Kim's co-authors include Stephen B. Howell, Seyed Mahdi Hosseiniyan Khatibi, Frank M. Balis, Cynthia Lester McCully, David G. Poplack, Steven C. Plaxe, S Kirmani, Patricia S. Braly, Edward F. McClay and Seiji Isonishi and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

S. Kim

7 papers receiving 88 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. Kim	42	23	22	19	16	7	90
Kim S. de Valk	65 1.5×	22 1.0×	52 2.4×	65 3.4×	6 0.4×	8	226
Timothy Affolter	30 0.7×	30 1.3×	12 0.5×	22 1.2×	13 0.8×	7	115
Illja J. Diets	31 0.7×	35 1.5×	14 0.6×	14 0.7×	13 0.8×	8	111
Claire Briandet	14 0.3×	12 0.5×	5 0.2×	27 1.4×	20 1.3×	8	58
Lindsay Hennah	27 0.6×	48 2.1×	31 1.4×	15 0.8×	8 0.5×	6	214
Shai Dulberg	98 2.3×	35 1.5×	9 0.4×	18 0.9×	5 0.3×	5	216
Marina Sahade	56 1.3×	18 0.8×	6 0.3×	23 1.2×	5 0.3×	6	89
Daphne N. Pariser	25 0.6×	32 1.4×	10 0.5×	23 1.2×	7 0.4×	6	139
S. Wehner	21 0.5×	17 0.7×	19 0.9×	6 0.3×	35 2.2×	7	66
Marie Nelson	20 0.5×	50 2.2×	5 0.2×	12 0.6×	4 0.3×	7	108

Countries citing papers authored by S. Kim

Since Specialization

Citations

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

Fields of papers citing papers by S. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kim. A scholar is included among the top collaborators of S. 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 S. Kim. S. 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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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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