Karen E. Weck
Impact in
- Oncology top 1%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Co-authors
- Samuel H. Speck (6 shared papers)Herbert W. Virgin (6 shared papers)Albert J. Dal Canto (2 shared papers)Phil Latreille (1 shared paper)P Wamsley (1 shared paper)Ron Shapiro (5 shared papers)Parmjeet Randhawa (5 shared papers)Abhay Vats (5 shared papers)
- Journals
- Journal of Molecular Diagnostics (12 papers)Genetics in Medicine (11 papers)Archives of Pathology & Laboratory Medicine (7 papers)Journal of Virology (6 papers)Pharmacogenomics (4 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Karen E. Weck
91 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Oncology 2.2k
- Pharmacology 507
- Epidemiology 1.9k
- Transplantation 110
- Infectious Diseases 541
Countries citing papers authored by Karen E. Weck
This map shows the geographic impact of Karen E. Weck'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 Karen E. Weck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen E. Weck more than expected).
Fields of papers citing papers by Karen E. Weck
This network shows the impact of papers produced by Karen E. Weck. 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 Karen E. Weck. The network helps show where Karen E. Weck may publish in the future.
Co-authors
The 25 scholars most cited alongside Karen E. Weck, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complete sequence and genomic analysis of murine gammaherpesvirus 68 Hit paper breakdown → | 1997 | 647 |
| 2 | 1999 | 257 | |
| 3 | 2014 | 247 | |
| 4 | 1996 | 239 | |
| 5 | 2004 | 196 | |
| 6 | 1997 | 189 | |
| 7 | 1999 | 166 | |
| 8 | 2018 | 141 | |
| 9 | 1995 | 137 | |
| 10 | 1987 | 136 | |
| 11 | 2012 | 120 | |
| 12 | 2017 | 105 | |
| 13 | 2002 | 105 | |
| 14 | 2021 | 97 | |
| 15 | 2005 | 96 | |
| 16 | 2019 | 95 | |
| 17 | 2009 | 88 | |
| 18 | 2002 | 88 | |
| 19 | 2005 | 81 | |
| 20 | 2003 | 77 |
About Karen E. Weck
Karen E. Weck is a scholar working on Genetics, Oncology, Molecular Biology, Pharmacology and Epidemiology, having authored 93 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Genomics and Rare Diseases (16 papers), Cancer Genomics and Diagnostics (11 papers), Cytomegalovirus and herpesvirus research (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Genetic factors in colorectal cancer (7 papers), Polyomavirus and related diseases (7 papers) and Antiplatelet Therapy and Cardiovascular Diseases (6 papers). The work is most often cited by research in Oncology (2.2k citations), Pharmacology (507 citations), Epidemiology (1.9k citations), Transplantation (110 citations) and Infectious Diseases (541 citations). Karen E. Weck has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Samuel H. Speck, Herbert W. Virgin, Albert J. Dal Canto, Phil Latreille, P Wamsley, Ron Shapiro, Parmjeet Randhawa, Abhay Vats, Zhen‐Yu Chen and Victoria M. Pratt. Their work appears in journals such as Journal of Molecular Diagnostics, Genetics in Medicine, Archives of Pathology & Laboratory Medicine, Journal of Virology and Pharmacogenomics.
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.