Kyung Mann Kim
- Molecular Biology
- Oncology
- Statistics and Probability top 5%
- Immunology
- Management Science and Operations Research top 10%
- Co-authors
- Sin‐Ho JungPaul M. SondelJacquelyn A. HankGeorge WildingMark R. AlbertiniJohn WilliamsonStuart R. LipsitzCindy Zuleger
- Topics
- Cancer Immunotherapy and Biomarkers (4 papers)Immunotherapy and Immune Responses (4 papers)Advanced Statistical Methods and Models (2 papers)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Kyung Mann Kim
15 papers receiving 351 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 110
- Oncology 102
- Statistics and Probability 99
- Immunology 76
- Management Science and Operations Research 69
Countries citing papers authored by Kyung Mann Kim
This map shows the geographic impact of Kyung Mann 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 Kyung Mann Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung Mann Kim more than expected).
Fields of papers citing papers by Kyung Mann Kim
This network shows the impact of papers produced by Kyung Mann 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 Kyung Mann Kim. The network helps show where Kyung Mann Kim may publish in the future.
Co-authorship network of co-authors of Kyung Mann Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Mann Kim. A scholar is included among the top collaborators of Kyung Mann 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 Kyung Mann Kim. Kyung Mann Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Phase IIa, randomized placebo-controlled trial of single high dose cholecalciferol (vitamin D3) and daily Genistein (G-2535) versus double placebo in men with early stage prostate cancer undergoing prostatectomy. | 12 |
| 3 | 1 | |
| 4 | 35 | |
| 5 | Brief report: Measuring the attitudes of health care professionals in Dane County toward adolescent immunization with HPV vaccine. | 13 |
| 6 | 59 | |
| 7 | 0 | |
| 8 | 33 | |
| 9 | 9 | |
| 10 | 80 | |
| 11 | 48 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 19 | |
| 15 | Recent advances with chemotherapy for NSCLC: the ECOG experience. Eastern Cooperative Oncology Group. | 7 |
| 16 | 1 |
About Kyung Mann Kim
Kyung Mann Kim is a scholar working on Statistics and Probability, Oncology and Immunology, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (99 citations), Management Science and Operations Research (69 citations) and Oncology (102 citations). Kyung Mann Kim has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Sin‐Ho Jung, Paul M. Sondel, Jacquelyn A. Hank, George Wilding, Mark R. Albertini, John Williamson, Stuart R. Lipsitz, Cindy Zuleger, David M. Mahvi and Michael D. Macklin. Their work appears in journals such as Cancer, Clinical Cancer Research and The Journal of Urology.
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.