David V. Erbe
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Toxicology top 5%
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 6
- Protein Tyrosine Phosphatases 5
- Porphyrin Metabolism and Disorders 3
- Glycosylation and Glycoproteins Research 2
-
- Galectins and Cancer Biology 5
- Co-authors
- James F. Tobin (10 shared papers)Mark Stahl (2 shared papers)Jasbir Seehra (1 shared paper)Yan Zhang (1 shared paper)Simon J. Davis (1 shared paper)W.S. Somers (1 shared paper)Lidia Mosyak (1 shared paper)Shinji Ikemizu (1 shared paper)
- Journals
- Neurology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Amyloid (1 paper)Molecular Pharmacology (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David V. Erbe
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Immunology 404
- Toxicology 36
- Molecular Biology 648
- Oncology 231
- Hematology 70
Countries citing papers authored by David V. Erbe
This map shows the geographic impact of David V. 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 David V. Erbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. Erbe more than expected).
Fields of papers citing papers by David V. Erbe
This network shows the impact of papers produced by David V. 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 David V. Erbe. The network helps show where David V. Erbe may publish in the future.
Co-authors
The 25 scholars most cited alongside David V. 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 382 | |
| 2 | 2016 | 162 | |
| 3 | 2006 | 124 | |
| 4 | 2013 | 94 | |
| 5 | 2004 | 77 | |
| 6 | 2020 | 74 | |
| 7 | 2021 | 65 | |
| 8 | 2011 | 62 | |
| 9 | 2006 | 48 | |
| 10 | 2002 | 41 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 36 | |
| 13 | 2007 | 35 | |
| 14 | 2008 | 32 | |
| 15 | 2008 | 15 | |
| 16 | 2019 | 10 | |
| 17 | 1992 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2007 | 4 |
About David V. Erbe
David V. Erbe is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Cell Biology and Physiology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Galectins and Cancer Biology (5 papers), Protein Tyrosine Phosphatases (5 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Skin and Cellular Biology Research (4 papers), Porphyrin Metabolism and Disorders (3 papers), Adipose Tissue and Metabolism (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (404 citations), Toxicology (36 citations), Molecular Biology (648 citations), Oncology (231 citations) and Hematology (70 citations). David V. Erbe has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include James F. Tobin, Mark Stahl, Jasbir Seehra, Yan Zhang, Simon J. Davis, W.S. Somers, Lidia Mosyak, Shinji Ikemizu, Suyue Wang and John Knight. Their work appears in journals such as Neurology, Bioorganic & Medicinal Chemistry Letters, Amyloid, Molecular Pharmacology and Clinical Journal of the American Society of Nephrology.
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.