Kim E. Zerba
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Marine and fisheries research 5
- Amphibian and Reptile Biology 3
- Genetics 8
- Genetic Associations and Epidemiology 7
- 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)Juha Pekkanen (1 shared paper)Aulikki M. Nissinen (1 shared paper)Robert E. Ferrell (3 shared papers)
- Journals
- Human Genetics (2 papers)Journal of Clinical Oncology (2 papers)Genetics (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)American Journal of Physical Anthropology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kim E. Zerba
29 papers receiving 1.4k citations
Kim E. Zerba's Hit Papers
Peers
Comparison fields: 5 of 100
- Oncology 518
- Cancer Research 204
- Endocrinology, Diabetes and Metabolism 155
- Nature and Landscape Conservation 120
- Global and Planetary Change 177
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | First-Line Nivolumab Plus Ipilimumab in Advanced Non–Small-Cell Lung Cancer (CheckMate 568): Outcomes by Programmed Death Ligand 1 and Tumor Mutational Burden as Biomarkers Hit paper breakdown → | 2019 | 483 |
| 2 | 1995 | 199 | |
| 3 | 2008 | 88 | |
| 4 | 1984 | 59 | |
| 5 | 2004 | 57 | |
| 6 | 1992 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 1992 | 44 | |
| 9 | 1993 | 43 | |
| 10 | 1981 | 43 | |
| 11 | 1996 | 40 | |
| 12 | 2008 | 40 | |
| 13 | 2000 | 35 | |
| 14 | 1981 | 32 | |
| 15 | 2018 | 32 | |
| 16 | 2006 | 30 | |
| 17 | 1992 | 27 | |
| 18 | 1994 | 26 | |
| 19 | 1991 | 25 | |
| 20 | 1993 | 24 |
About Kim E. Zerba
Kim E. Zerba is a scholar working on Global and Planetary Change, Genetics, Oceanography, Oncology and Ecology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Marine and fisheries research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Amphibian and Reptile Biology (3 papers), Bioinformatics and Genomic Networks (3 papers), Marine and coastal plant biology (3 papers), Coral and Marine Ecosystems Studies (3 papers) and Morphological variations and asymmetry (2 papers). The work is most often cited by research in Oncology (518 citations), Cancer Research (204 citations), Endocrinology, Diabetes and Metabolism (155 citations), Nature and Landscape Conservation (120 citations) and Global and Planetary Change (177 citations). Kim E. Zerba has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Charles F. Sing, John S. Stephens, James P. Collins, Jari Stengård, Christian Ehnholm, Juha Pekkanen, Aulikki M. Nissinen, Robert E. Ferrell, Sharon L. Reilly and Michael J. Sredl. Their work appears in journals such as Human Genetics, Journal of Clinical Oncology, Genetics, Arteriosclerosis Thrombosis and Vascular Biology 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.