Soo-Ki Kim

9 total papers · 742 total citations
7 papers, 641 citations indexed

About

Soo-Ki Kim is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Soo-Ki Kim has authored 7 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in Soo-Ki Kim's work include Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (3 papers) and Enzyme Structure and Function (2 papers). Soo-Ki Kim is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (3 papers) and Enzyme Structure and Function (2 papers). Soo-Ki Kim collaborates with scholars based in United States, South Korea and Spain. Soo-Ki Kim's co-authors include Barry L. Wanner, Andreas Haldimann, Weihong Jiang, Larry L. Daniels, William W. Metcalf, Christopher T. Walsh, Stewart L. Fisher, Ki‐Sung Lee, Tae Jin Lee and Wenxin Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Soo-Ki Kim

7 papers receiving 634 citations

Author Peers

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

Author Last Decade Papers Cites
Soo-Ki Kim 368 245 207 111 94 7 641
Larry L. Daniels 338 0.9× 225 0.9× 194 0.9× 197 1.8× 101 1.1× 9 657
Thomas Spreter 268 0.7× 298 1.2× 200 1.0× 139 1.3× 47 0.5× 11 601
Evelyne Coursange 333 0.9× 260 1.1× 209 1.0× 128 1.2× 68 0.7× 8 581
Brit Winnen 323 0.9× 236 1.0× 182 0.9× 126 1.1× 101 1.1× 11 709
Hugo Cruz Ramos 310 0.8× 187 0.8× 125 0.6× 121 1.1× 78 0.8× 5 715
M Bagdasarian 435 1.2× 390 1.6× 153 0.7× 153 1.4× 70 0.7× 10 664
Heather L. Rocchetta 447 1.2× 185 0.8× 95 0.5× 133 1.2× 60 0.6× 11 721
Matthew Lefebre 265 0.7× 302 1.2× 294 1.4× 202 1.8× 102 1.1× 12 717
Maria Wagner 287 0.8× 135 0.6× 192 0.9× 90 0.8× 46 0.5× 15 588
Anastasia H. Potts 527 1.4× 353 1.4× 136 0.7× 153 1.4× 93 1.0× 10 768

Countries citing papers authored by Soo-Ki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Soo-Ki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soo-Ki Kim

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