Kim E. Zerba
Impact in
- Cancer Research top 10%
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Co-authors
- Charles F. Sing (11 shared papers)John S. Stephens (4 shared papers)James P. Collins (3 shared papers)Jari Stengård (2 shared papers)Christian Ehnholm (1 shared paper)Aulikki Nissinen (1 shared paper)Juha Pekkanen (1 shared paper)Robert E. Ferrell (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Genetics (2 papers)Cancer Research (2 papers)Human Genetics (2 papers)Transactions of the American Fisheries Society (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Kim E. Zerba
32 papers receiving 967 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 145
- Endocrinology, Diabetes and Metabolism 146
- Nature and Landscape Conservation 119
- Oncology 215
- Global and Planetary Change 179
Countries citing papers authored by Kim E. Zerba
This map shows the geographic impact of Kim E. Zerba'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 Kim E. Zerba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim E. Zerba more than expected).
Fields of papers citing papers by Kim E. Zerba
This network shows the impact of papers produced by Kim E. Zerba. 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 Kim E. Zerba. The network helps show where Kim E. Zerba may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim E. Zerba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 194 | |
| 2 | 2008 | 85 | |
| 3 | 1984 | 61 | |
| 4 | 2018 | 57 | |
| 5 | 2004 | 54 | |
| 6 | 1992 | 45 | |
| 7 | 1981 | 45 | |
| 8 | 1992 | 44 | |
| 9 | 1993 | 43 | |
| 10 | 1996 | 40 | |
| 11 | 2008 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2000 | 36 | |
| 14 | 1981 | 32 | |
| 15 | 2018 | 30 | |
| 16 | 1994 | 29 | |
| 17 | 1992 | 27 | |
| 18 | 1991 | 26 | |
| 19 | 1993 | 25 | |
| 20 | 1982 | 19 |
About Kim E. Zerba
Kim E. Zerba is a scholar working on Oncology, Genetics, Global and Planetary Change, Molecular Biology and Cancer Research, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Marine and fisheries research (5 papers), Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (3 papers), Marine and coastal plant biology (3 papers), Amphibian and Reptile Biology (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (145 citations), Endocrinology, Diabetes and Metabolism (146 citations), Nature and Landscape Conservation (119 citations), Oncology (215 citations) and Global and Planetary Change (179 citations). Kim E. Zerba has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Charles F. Sing, John S. Stephens, James P. Collins, Jari Stengård, Christian Ehnholm, Aulikki Nissinen, Juha Pekkanen, Robert E. Ferrell, Sharon L. Reilly and Michael J. Sredl. Their work appears in journals such as Journal of Clinical Oncology, Genetics, Cancer Research, Human Genetics and Transactions of the American Fisheries Society.
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.