John Erbe
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Adenosine and Purinergic Signaling 6
- Oncology 11
- Drug Transport and Resistance Mechanisms 10
- Co-authors
- Peter G.W. Plagemann (21 shared papers)Richard März (2 shared papers)Robert M. Wohlhueter (4 shared papers)David P. Richey (2 shared papers)Richard D. Estensen (1 shared paper)Jon C. Graff (1 shared paper)John R. Sheppard (1 shared paper)
- Journals
- Journal of Cellular Physiology (7 papers)Journal of Biological Chemistry (4 papers)Biochemistry (2 papers)The Journal of Cell Biology (2 papers)The Journal of Membrane Biology (2 papers)
- Partner nations
- United StatesCzechia
In The Last Decade
John Erbe
22 papers receiving 987 citations
Peers
Comparison fields: 5 of 91
- Physiology 250
- Biochemistry 103
- Molecular Biology 838
- Clinical Biochemistry 73
- Oncology 205
Countries citing papers authored by John Erbe
This map shows the geographic impact of John Erbe'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 John Erbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Erbe more than expected).
Fields of papers citing papers by John Erbe
This network shows the impact of papers produced by John Erbe. 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 John Erbe. The network helps show where John Erbe may publish in the future.
Co-authors
The 7 scholars most cited alongside John Erbe, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 175 | |
| 2 | 1969 | 138 | |
| 3 | 1972 | 107 | |
| 4 | 1971 | 102 | |
| 5 | 1976 | 73 | |
| 6 | 1974 | 66 | |
| 7 | Transport and metabolism of glucosamine by cultured Novikoff rat hepatoma cells and effects on nucleotide pools. | 1973 | 50 |
| 8 | 1974 | 48 | |
| 9 | 1982 | 48 | |
| 10 | 1975 | 48 | |
| 11 | 1974 | 45 | |
| 12 | 1973 | 44 | |
| 13 | 1975 | 33 | |
| 14 | 1977 | 31 | |
| 15 | 1981 | 30 | |
| 16 | 1976 | 28 | |
| 17 | 1968 | 23 | |
| 18 | 1975 | 18 | |
| 19 | 1981 | 17 | |
| 20 | 1977 | 14 |
About John Erbe
John Erbe is a scholar working on Physiology, Oncology, Biochemistry, Molecular Biology and Pharmaceutical Science, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Adenosine and Purinergic Signaling (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Biochemical and Molecular Research (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Pancreatic function and diabetes (4 papers), Chemical Reactions and Isotopes (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (250 citations), Biochemistry (103 citations), Molecular Biology (838 citations), Clinical Biochemistry (73 citations) and Oncology (205 citations). John Erbe has collaborated with scholars based in United States and Czechia. Frequent co-authors include Peter G.W. Plagemann, Richard März, Robert M. Wohlhueter, David P. Richey, Richard D. Estensen, Jon C. Graff and John R. Sheppard. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biological Chemistry, Biochemistry, The Journal of Cell Biology and The Journal of Membrane Biology.
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.