Abraham M. de Vos
- Molecular Biology top 0.5%
- Angiogenesis and VEGF in Cancer 12
- Glycosylation and Glycoproteins Research 8
- Metabolism, Diabetes, and Cancer 8
- Protein Kinase Regulation and GTPase Signaling 5
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research 6
- Oncology top 1%
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- Monoclonal and Polyclonal Antibodies Research 15
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- Growth Hormone and Insulin-like Growth Factors 14
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- Enzyme Structure and Function 10
- Co-authors
- Mark UltschAnthony A. KossiakoffJames A. WellsHans W. ChristingerChristian WiesmannGermaine FuhBrian C. CunninghamYves A. Muller
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Abraham M. de Vos
65 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 6.8k
- Immunology and Allergy 578
- Oncology 2.6k
- Radiology, Nuclear Medicine and Imaging 2.2k
- Endocrinology, Diabetes and Metabolism 1.5k
Countries citing papers authored by Abraham M. de Vos
This map shows the geographic impact of Abraham M. de Vos'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 Abraham M. de Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham M. de Vos more than expected).
Fields of papers citing papers by Abraham M. de Vos
This network shows the impact of papers produced by Abraham M. de Vos. 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 Abraham M. de Vos. The network helps show where Abraham M. de Vos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abraham M. de Vos, 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 | Insights into ErbB signaling from the structure of the ErbB2-pertuzumab complex. | 2004 | 7 |
| 2 | 2004 | 122 | |
| 3 | 2000 | 71 | |
| 4 | Crystal structure of NGF in complex with the ligand-binding domain of the TrkA receptor | 1999 | 2 |
| 5 | 1999 | 47 | |
| 6 | 1999 | 5 | |
| 7 | 1999 | 319 | |
| 8 | 1999 | 134 | |
| 9 | 1998 | 210 | |
| 10 | 1998 | 47 | |
| 11 | 1998 | 17 | |
| 12 | 1998 | 12 | |
| 13 | 1998 | 233 | |
| 14 | 1998 | 50 | |
| 15 | 1996 | 236 | |
| 16 | 1994 | 67 | |
| 17 | 1992 | 80 | |
| 18 | 1992 | 212 | |
| 19 | 1991 | 50 | |
| 20 | 1989 | 104 |
About Abraham M. de Vos
Abraham M. de Vos is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 65 papers that have together received 10.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Angiogenesis and VEGF in Cancer (12 papers), Enzyme Structure and Function (10 papers), Glycosylation and Glycoproteins Research (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Cell Adhesion Molecules Research (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Molecular Biology (6.8k citations), Immunology and Allergy (578 citations) and Oncology (2.6k citations). Abraham M. de Vos has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Mark Ultsch, Anthony A. Kossiakoff, James A. Wells, Hans W. Christinger, Christian Wiesmann, Germaine Fuh, Brian C. Cunningham, Yves A. Muller, F.F. Vajdos and Kendall D. Carey. Their work appears in journals such as Journal of Molecular Biology, Biochemistry, Science, Structure and Nature.
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.