Daniel C. Kim

26 total papers · 710 total citations
15 papers, 541 citations indexed

About

Daniel C. Kim is a scholar working on Molecular Biology, Surgery and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel C. Kim has authored 15 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel C. Kim's work include Sexual function and dysfunction studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Hormonal and reproductive studies (2 papers). Daniel C. Kim is often cited by papers focused on Sexual function and dysfunction studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Hormonal and reproductive studies (2 papers). Daniel C. Kim collaborates with scholars based in United States, Switzerland and Malaysia. Daniel C. Kim's co-authors include Robert J. Linhardt, Mattheos Koffas, Brady F. Cress, Arnold Melman, Seth E. Lerner, George J. Christ, Robert C. Dunn, Jon Y. Suzuki, Florence Ida Hsu and Roland Grenningloh and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Daniel C. Kim

15 papers receiving 532 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel C. Kim 272 106 68 67 59 15 541
Joseph Byron 159 0.6× 90 0.8× 29 0.4× 40 0.6× 119 2.0× 17 534
S HSIEH 203 0.7× 44 0.4× 27 0.4× 69 1.0× 134 2.3× 16 615
Niels Storm 302 1.1× 59 0.6× 20 0.3× 24 0.4× 40 0.7× 17 586
Jeanne M. Rhea 275 1.0× 32 0.3× 16 0.2× 72 1.1× 75 1.3× 20 585
Kin Ki Jim 174 0.6× 54 0.5× 14 0.2× 51 0.8× 79 1.3× 20 506
Jin Chul Kim 226 0.8× 48 0.5× 32 0.5× 16 0.2× 97 1.6× 24 590
Tanya Gregory 255 0.9× 89 0.8× 12 0.2× 37 0.6× 15 0.3× 26 493
Bettina Schneider 251 0.9× 41 0.4× 14 0.2× 34 0.5× 27 0.5× 17 583
Cristina González 136 0.5× 106 1.0× 10 0.1× 41 0.6× 84 1.4× 22 567
Susumu Kurioka 277 1.0× 37 0.3× 23 0.3× 12 0.2× 40 0.7× 22 523

Countries citing papers authored by Daniel C. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Kim

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