David E. Sheppard
Impact in
- Endocrinology top 10%
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Protein Structure and Dynamics 3
- Porphyrin Metabolism and Disorders 2
- Protein purification and stability 1
-
- Diet, Metabolism, and Disease 10
- Co-authors
- Ellis Englesberg (2 shared papers)Theodore Homyk (1 shared paper)J R Roth (1 shared paper)Craig Squires (1 shared paper)Sangshin Park (1 shared paper)Thomas A. Bobik (1 shared paper)Eric Kofoid (1 shared paper)John R. Roth (1 shared paper)
- Journals
- Journal of Bacteriology (12 papers)Genetics (2 papers)Journal of Molecular Biology (2 papers)Virology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David E. Sheppard
16 papers receiving 450 citations
Peers
Comparison fields: 5 of 62
- Endocrinology 49
- Biochemistry 51
- Endocrinology, Diabetes and Metabolism 104
- Genetics 166
- Molecular Biology 363
Countries citing papers authored by David E. Sheppard
This map shows the geographic impact of David E. Sheppard'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. Sheppard 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. Sheppard more than expected).
Fields of papers citing papers by David E. Sheppard
This network shows the impact of papers produced by David E. Sheppard. 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. Sheppard. The network helps show where David E. Sheppard may publish in the future.
Co-authors
The 13 scholars most cited alongside David E. Sheppard, 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 | 1967 | 131 | |
| 2 | 1969 | 71 | |
| 3 | 1977 | 64 | |
| 4 | 1964 | 56 | |
| 5 | 2004 | 52 | |
| 6 | 1994 | 41 | |
| 7 | 1971 | 32 | |
| 8 | 1962 | 25 | |
| 9 | 1972 | 10 | |
| 10 | 1974 | 9 | |
| 11 | 1969 | 9 | |
| 12 | 1978 | 8 | |
| 13 | 1976 | 3 | |
| 14 | 1986 | 2 | |
| 15 | 1983 | 2 | |
| 16 | 1979 | 2 | |
| 17 | 1977 | 1 |
About David E. Sheppard
David E. Sheppard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Materials Chemistry, Endocrinology and Cell Biology, having authored 17 papers that have together received 518 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (10 papers), Enzyme Structure and Function (10 papers), Escherichia coli research studies (3 papers), Protein Structure and Dynamics (3 papers), Porphyrin Metabolism and Disorders (2 papers), Pancreatic function and diabetes (1 paper), Microtubule and mitosis dynamics (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Endocrinology (49 citations), Biochemistry (51 citations), Endocrinology, Diabetes and Metabolism (104 citations), Genetics (166 citations) and Molecular Biology (363 citations). David E. Sheppard has collaborated with scholars based in United States and Canada. Frequent co-authors include Ellis Englesberg, Theodore Homyk, J R Roth, Craig Squires, Sangshin Park, Thomas A. Bobik, Eric Kofoid, John R. Roth, Robert P. Gendron and Barry Falgout. Their work appears in journals such as Journal of Bacteriology, Genetics, Journal of Molecular Biology and Virology.
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.