David E. Kellogg
Impact in
- Virology top 5%
- Molecular Biology top 10%
- Molecular Biology Techniques and Applications
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
- Virology 2
- HIV Research and Treatment 2
-
- T-cell and Retrovirus Studies 3
- Co-authors
- Paul D. Siebert (2 shared papers)John J. Sninsky (3 shared papers)Alex A. Chenchik (1 shared paper)Sergey Lukyanov (1 shared paper)Konstantin A. Lukyanov (1 shared paper)Shirley Kwok (2 shared papers)C. Levenson (3 shared papers)Nancy McKinney (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Gene (1 paper)Analytical Biochemistry (1 paper)The Journal of Infectious Diseases (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
David E. Kellogg
9 papers receiving 2.1k citations
David E. Kellogg's Hit Papers
Peers
Comparison fields: 5 of 113
- Virology 98
- Molecular Biology 1.2k
- Agronomy and Crop Science 159
- Genetics 407
- Plant Science 515
Countries citing papers authored by David E. Kellogg
This map shows the geographic impact of David E. Kellogg'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 David E. Kellogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Kellogg more than expected).
Fields of papers citing papers by David E. Kellogg
This network shows the impact of papers produced by David E. Kellogg. 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 David E. Kellogg. The network helps show where David E. Kellogg may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Kellogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An improved PCR method for walking in uncloned genomic DNA Hit paper breakdown → | 1995 | 897 |
| 2 | Effects of primer-template mismatches on the polymerase chain reaction: Human immunodeficiency virus type 1 model studies Hit paper breakdown → | 1990 | 886 |
| 3 | 1988 | 130 | |
| 4 | 1990 | 107 | |
| 5 | 1991 | 87 | |
| 6 | 1986 | 50 | |
| 7 | 1990 | 49 | |
| 8 | 1987 | 11 | |
| 9 | 1995 | 9 |
About David E. Kellogg
David E. Kellogg is a scholar working on Virology, Immunology, Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), CRISPR and Genetic Engineering (2 papers), Animal Disease Management and Epidemiology (2 papers), Vector-Borne Animal Diseases (2 papers), DNA and Nucleic Acid Chemistry (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Virology (98 citations), Molecular Biology (1.2k citations), Agronomy and Crop Science (159 citations), Genetics (407 citations) and Plant Science (515 citations). David E. Kellogg has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Paul D. Siebert, John J. Sninsky, Alex A. Chenchik, Sergey Lukyanov, Konstantin A. Lukyanov, Shirley Kwok, C. Levenson, Nancy McKinney, Dragana Spasić and Simon C.M. Kwok. Their work appears in journals such as Nucleic Acids Research, Gene, Analytical Biochemistry, The Journal of Infectious Diseases and Transfusion.
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.