Kim E. Zerba
Impact in
- Cancer Research top 10%
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Genetics 9
- Genetic Associations and Epidemiology 8
-
- Cancer Genomics and Diagnostics 4
- Breast Cancer Treatment Studies 3
- Co-authors
- Charles F. Sing (11 shared papers)James P. Collins (2 shared papers)John S. Stephens (3 shared papers)Juha Pekkanen (1 shared paper)Christian Ehnholm (1 shared paper)Aulikki Nissinen (1 shared paper)Jari Stengård (2 shared papers)Robert E. Ferrell (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Human Genetics (2 papers)Genetics (2 papers)Cancer Research (2 papers)American Journal of Physical Anthropology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Kim E. Zerba
30 papers receiving 901 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 191
- Endocrinology, Diabetes and Metabolism 175
- Oncology 232
- Genetics 220
- Nature and Landscape Conservation 91
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 190 | |
| 2 | 2008 | 79 | |
| 3 | 2018 | 57 | |
| 4 | 1984 | 56 | |
| 5 | 2004 | 52 | |
| 6 | 1992 | 44 | |
| 7 | 1992 | 43 | |
| 8 | 1993 | 39 | |
| 9 | 1996 | 39 | |
| 10 | 2019 | 38 | |
| 11 | 2008 | 38 | |
| 12 | 2000 | 36 | |
| 13 | 2018 | 30 | |
| 14 | 1981 | 29 | |
| 15 | 1991 | 26 | |
| 16 | 1994 | 25 | |
| 17 | 1992 | 25 | |
| 18 | 1993 | 25 | |
| 19 | 1982 | 17 | |
| 20 | 2005 | 16 |
About Kim E. Zerba
Kim E. Zerba is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 960 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (5 papers), Marine and fisheries research (4 papers), Cancer Genomics and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer Treatment and Pharmacology (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Cancer Research (191 citations), Endocrinology, Diabetes and Metabolism (175 citations), Oncology (232 citations), Genetics (220 citations) and Nature and Landscape Conservation (91 citations). Kim E. Zerba has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Charles F. Sing, James P. Collins, John S. Stephens, Juha Pekkanen, Christian Ehnholm, Aulikki Nissinen, Jari Stengård, Robert E. Ferrell, Sharon L. Reilly and Alan R. Templeton. Their work appears in journals such as Journal of Clinical Oncology, Human Genetics, Genetics, Cancer Research and American Journal of Physical Anthropology.
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.