B. Kemper
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
Papers in
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 12
- Co-authors
- Elzbieta Szczesna-Skorupa (7 shared papers)Rima Youil (1 shared paper)Richard G.H. Cotton (1 shared paper)John T. Potts (3 shared papers)David A. Mead (2 shared papers)P. Straub (4 shared papers)Eric F. Johnson (4 shared papers)Anina N. Rich (2 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Proceedings of the National Academy of Sciences (4 papers)Archives of Biochemistry and Biophysics (3 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
B. Kemper
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Pharmacology 351
- Molecular Biology 754
- Oncology 246
- Biochemistry 69
- Cell Biology 141
Countries citing papers authored by B. Kemper
This map shows the geographic impact of B. Kemper'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 B. Kemper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Kemper more than expected).
Fields of papers citing papers by B. Kemper
This network shows the impact of papers produced by B. Kemper. 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 B. Kemper. The network helps show where B. Kemper may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Kemper, 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 | 1995 | 148 | |
| 2 | 1988 | 121 | |
| 3 | 1978 | 114 | |
| 4 | 1989 | 67 | |
| 5 | 1993 | 62 | |
| 6 | 1994 | 53 | |
| 7 | 1974 | 48 | |
| 8 | 1990 | 48 | |
| 9 | 1993 | 48 | |
| 10 | 2004 | 41 | |
| 11 | 1993 | 40 | |
| 12 | 1993 | 39 | |
| 13 | 1993 | 38 | |
| 14 | 1992 | 34 | |
| 15 | 1984 | 34 | |
| 16 | 1981 | 33 | |
| 17 | 1975 | 30 | |
| 18 | 1998 | 29 | |
| 19 | 1993 | 29 | |
| 20 | 1989 | 25 |
About B. Kemper
B. Kemper is a scholar working on Molecular Biology, Pharmacology, Genetics, Cell Biology and Computational Theory and Mathematics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Computational Drug Discovery Methods (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers), Estrogen and related hormone effects (3 papers), Genetic Syndromes and Imprinting (3 papers), Pancreatic function and diabetes (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Pharmacology (351 citations), Molecular Biology (754 citations), Oncology (246 citations), Biochemistry (69 citations) and Cell Biology (141 citations). B. Kemper has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Elzbieta Szczesna-Skorupa, Rima Youil, Richard G.H. Cotton, John T. Potts, David A. Mead, P. Straub, Eric F. Johnson, Anina N. Rich, Kwangseog Ahn and Joel F. Habener. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications and Molecular Pharmacology.
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.