Rosa S. Kim

14 total papers · 731 total citations
7 papers, 150 citations indexed

About

Rosa S. Kim is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Rosa S. Kim has authored 7 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Rosa S. Kim's work include Pain Management and Opioid Use (2 papers), Anesthesia and Pain Management (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). Rosa S. Kim is often cited by papers focused on Pain Management and Opioid Use (2 papers), Anesthesia and Pain Management (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). Rosa S. Kim collaborates with scholars based in United States, Switzerland and United Kingdom. Rosa S. Kim's co-authors include Yujin Hoshida, Nicolas Goossens, Bryan C. Fuchs, Christopher L. Robinson, David Y. Zhang, Young Min Lee, Scott L. Friedman, Daisuke Hasegawa, Takuma Tsuchida and Dipankar Bhattacharya and has published in prestigious journals such as Scientific Reports, Cancer Prevention Research and Current Pain and Headache Reports.

In The Last Decade

Rosa S. Kim

7 papers receiving 148 citations

Author Peers

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

Author Last Decade Papers Cites
Rosa S. Kim 72 51 41 28 24 7 150
Youwen Yuan 99 1.4× 43 0.8× 23 0.6× 56 2.0× 22 0.9× 12 195
Giovanna Valente 134 1.9× 25 0.5× 121 3.0× 52 1.9× 30 1.3× 12 256
Yaron Arbel 175 2.4× 31 0.6× 67 1.6× 79 2.8× 23 1.0× 8 272
Collin Crowley 104 1.4× 51 1.0× 26 0.6× 45 1.6× 23 1.0× 6 183
Shifeng Zhao 86 1.2× 30 0.6× 62 1.5× 115 4.1× 14 0.6× 6 255
Anthony Rinaldi 78 1.1× 21 0.4× 31 0.8× 90 3.2× 9 0.4× 7 218
Shi-Young Park 61 0.8× 39 0.8× 8 0.2× 86 3.1× 33 1.4× 5 174
Ji Soo Lee 29 0.4× 11 0.2× 5 0.1× 39 1.4× 38 1.6× 9 140
Susann Fayyaz 68 0.9× 54 1.1× 21 0.5× 177 6.3× 47 2.0× 8 249
Rie Ibusuki 108 1.5× 15 0.3× 36 0.9× 45 1.6× 26 1.1× 13 196

Countries citing papers authored by Rosa S. Kim

Since Specialization
Citations

This map shows the geographic impact of Rosa 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 Rosa 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 Rosa S. Kim more than expected).

Fields of papers citing papers by Rosa S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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