D. Eugene Wampler
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Epidemiology top 10%
- Hepatitis B Virus Studies
Papers in
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- Amino Acid Enzymes and Metabolism 6
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- Hepatitis B Virus Studies 7
- Co-authors
- William J. McAleer (4 shared papers)Eugene B. Buynak (3 shared papers)William J. W. Miller (4 shared papers)Robert Z. Maigetter (3 shared papers)Maurice R. Hilleman (2 shared papers)Edward W. Westhead (2 shared papers)E. Dale Lehman (2 shared papers)Joshua Boger (1 shared paper)
- Journals
- Biochemistry (4 papers)Archives of Biochemistry and Biophysics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
D. Eugene Wampler
19 papers receiving 880 citations
D. Eugene Wampler's Hit Papers
Peers
Comparison fields: 5 of 72
- Biochemistry 117
- Epidemiology 305
- Virology 37
- Molecular Biology 469
- Biotechnology 45
Countries citing papers authored by D. Eugene Wampler
This map shows the geographic impact of D. Eugene Wampler'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 D. Eugene Wampler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Eugene Wampler more than expected).
Fields of papers citing papers by D. Eugene Wampler
This network shows the impact of papers produced by D. Eugene Wampler. 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 D. Eugene Wampler. The network helps show where D. Eugene Wampler may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Eugene Wampler, 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 | Human hepatitis B vaccine from recombinant yeast Hit paper breakdown → | 1984 | 587 |
| 2 | 1968 | 99 | |
| 3 | 1985 | 92 | |
| 4 | 1974 | 60 | |
| 5 | 1976 | 36 | |
| 6 | 1994 | 26 | |
| 7 | 1972 | 24 | |
| 8 | 1970 | 23 | |
| 9 | 1978 | 22 | |
| 10 | 1984 | 17 | |
| 11 | 1983 | 15 | |
| 12 | 1974 | 13 | |
| 13 | 1967 | 10 | |
| 14 | 1989 | 7 | |
| 15 | 1964 | 5 | |
| 16 | 1977 | 5 | |
| 17 | 1971 | 4 | |
| 18 | 1997 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About D. Eugene Wampler
D. Eugene Wampler is a scholar working on Biochemistry, Epidemiology, Molecular Biology, Computational Mechanics and Small Animals, having authored 20 papers that have together received 1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Biochemical and Molecular Research (6 papers), Protein purification and stability (2 papers), Field-Flow Fractionation Techniques (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Fungal and yeast genetics research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biochemistry (117 citations), Epidemiology (305 citations), Virology (37 citations), Molecular Biology (469 citations) and Biotechnology (45 citations). D. Eugene Wampler has collaborated with scholars based in United States. Frequent co-authors include William J. McAleer, Eugene B. Buynak, William J. W. Miller, Robert Z. Maigetter, Maurice R. Hilleman, Edward W. Westhead, E. Dale Lehman, Joshua Boger, Edward M. Scolnick and Robert L. Church. Their work appears in journals such as Biochemistry, Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences, Blood and Experimental Biology and Medicine.
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.