Haewon C. Kim

40 total papers · 1.6k total citations
29 papers, 1.1k citations indexed

About

Haewon C. Kim is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Haewon C. Kim has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 13 papers in Genetics and 9 papers in Immunology. Recurrent topics in Haewon C. Kim's work include Blood groups and transfusion (13 papers), Hemoglobinopathies and Related Disorders (13 papers) and Complement system in diseases (8 papers). Haewon C. Kim is often cited by papers focused on Blood groups and transfusion (13 papers), Hemoglobinopathies and Related Disorders (13 papers) and Complement system in diseases (8 papers). Haewon C. Kim collaborates with scholars based in United States, Poland and Nigeria. Haewon C. Kim's co-authors include Joseph E. Schwartz, Ravi Sarode, Jeffrey L. Winters, Michael Linenberger, Zbigniew M. Szczepiorkowski, Marisa B. Marques, Nicholas Bandarenko, Robert S. Weinstein, Beth H. Shaz and Edward C.C. Wong and has published in prestigious journals such as The Journal of Pediatrics, Journal of the American Academy of Dermatology and British Journal of Haematology.

In The Last Decade

Haewon C. Kim

28 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Haewon C. Kim 491 359 336 216 124 29 1.1k
Rut Norda 407 0.8× 268 0.7× 206 0.6× 190 0.9× 98 0.8× 44 1.4k
Cynthia Rutherford 326 0.7× 207 0.6× 210 0.6× 107 0.5× 86 0.7× 35 1.1k
E. M. Berkman 568 1.2× 178 0.5× 243 0.7× 120 0.6× 189 1.5× 43 1.1k
Sheila Worlledge 546 1.1× 263 0.7× 185 0.6× 142 0.7× 40 0.3× 31 1.2k
Leo J. McCarthy 536 1.1× 305 0.8× 232 0.7× 237 1.1× 30 0.2× 47 1.3k
Annette Schaeffer 789 1.6× 205 0.6× 255 0.8× 175 0.8× 72 0.6× 20 1.3k
David Ciavarella 504 1.0× 244 0.7× 215 0.6× 148 0.7× 87 0.7× 44 1.3k
Jorge E. Maldonado 379 0.8× 154 0.4× 281 0.8× 354 1.6× 44 0.4× 42 1.4k
T B Wallington 275 0.6× 284 0.8× 269 0.8× 155 0.7× 51 0.4× 43 1.4k
Somasundaram Jayabose 385 0.8× 110 0.3× 188 0.6× 223 1.0× 170 1.4× 56 1.1k

Countries citing papers authored by Haewon C. Kim

Since Specialization
Citations

This map shows the geographic impact of Haewon 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 Haewon 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 Haewon C. Kim more than expected).

Fields of papers citing papers by Haewon C. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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