Abraham M. de Vos
- Molecular Biology top 0.5%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Immunology top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Mark UltschAnthony A. KossiakoffJames A. WellsHans W. ChristingerChristian WiesmannGermaine FuhBrian C. CunninghamYves A. Muller
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)Growth Hormone and Insulin-like Growth Factors (14 papers)Angiogenesis and VEGF in Cancer (12 papers)
- 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
- Oncology 2.6k
- Radiology, Nuclear Medicine and Imaging 2.2k
- Immunology 1.9k
- 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 of co-authors of Abraham M. de Vos
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham M. de Vos. A scholar is included among the top collaborators of Abraham M. de Vos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abraham M. de Vos. Abraham M. de Vos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Insights into ErbB signaling from the structure of the ErbB2-pertuzumab complex. | 7 |
| 2 | 122 | |
| 3 | 71 | |
| 4 | Crystal structure of NGF in complex with the ligand-binding domain of the TrkA receptor | 2 |
| 5 | 47 | |
| 6 | 5 | |
| 7 | 319 | |
| 8 | 134 | |
| 9 | 210 | |
| 10 | 47 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 233 | |
| 14 | 50 | |
| 15 | 236 | |
| 16 | 67 | |
| 17 | 80 | |
| 18 | 212 | |
| 19 | 50 | |
| 20 | 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) and Angiogenesis and VEGF in Cancer (12 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 Nature, Science and Cell.
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.