Dana Kim

30 total papers · 594 total citations
15 papers, 101 citations indexed

About

Dana Kim is a scholar working on Nephrology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dana Kim has authored 15 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 4 papers in Hematology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dana Kim's work include Renal Diseases and Glomerulopathies (3 papers), Platelet Disorders and Treatments (2 papers) and Emergency and Acute Care Studies (2 papers). Dana Kim is often cited by papers focused on Renal Diseases and Glomerulopathies (3 papers), Platelet Disorders and Treatments (2 papers) and Emergency and Acute Care Studies (2 papers). Dana Kim collaborates with scholars based in Australia, United States and South Korea. Dana Kim's co-authors include Carol A. Pollock, Roman A. Blaheta, Axel Haferkamp, Ju-Hee Kang, Chang‐Shin Park, Michael Reiter, Eva Juengel, Igor Tsaur, Georg Bartsch and Jasmina Makarević and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Dana Kim

10 papers receiving 101 citations

Author Peers

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

Author						Papers	Cites
Dana Kim	39	28	18	17	14	15	101
Po‐Chang Wu	17 0.4×	47 1.7×	18 1.0×	16 0.9×	29 2.1×	17	150
Jared S. Kahn	27 0.7×	29 1.0×	54 3.0×	19 1.1×	27 1.9×	12	214
Jiajia Ma	24 0.6×	68 2.4×	36 2.0×	4 0.2×	4 0.3×	23	214
Shinichi Namba	11 0.3×	46 1.6×	20 1.1×	27 1.6×	14 1.0×	15	151
Jiarui Mi	8 0.2×	60 2.1×	15 0.8×	29 1.7×	20 1.4×	20	243
Laura M. Yerges-Armstrong	26 0.7×	51 1.8×	6 0.3×	21 1.2×	27 1.9×	13	144
Jun Xu	13 0.3×	29 1.0×	9 0.5×	15 0.9×	2 0.1×	12	121
Liming Zhang	11 0.3×	44 1.6×	36 2.0×	38 2.2×	59 4.2×	21	222
Francesco Masini	10 0.3×	28 1.0×	7 0.4×	8 0.5×	10 0.7×	18	85
M. Cutolo	14 0.4×	34 1.2×	41 2.3×	15 0.9×	95 6.8×	15	213

Countries citing papers authored by Dana Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dana Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Kim

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