Alain B. Schreiber
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Immunology top 5%
- Cell Biology top 2%
- Co-authors
- Rik DerynckMarjorie E. WinklerJoseph SchlessingerYosef YardenTevie MehlmanRobert FrieselIrit LaxTowia A. Libermann
- Topics
- Monoclonal and Polyclonal Antibodies Research (16 papers)Glycosylation and Glycoproteins Research (8 papers)Virus-based gene therapy research (5 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Alain B. Schreiber
40 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.0k
- Radiology, Nuclear Medicine and Imaging 711
- Oncology 668
- Immunology 560
- Cell Biology 488
Countries citing papers authored by Alain B. Schreiber
This map shows the geographic impact of Alain B. Schreiber'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 Alain B. Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alain B. Schreiber more than expected).
Fields of papers citing papers by Alain B. Schreiber
This network shows the impact of papers produced by Alain B. Schreiber. 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 Alain B. Schreiber. The network helps show where Alain B. Schreiber may publish in the future.
Co-authorship network of co-authors of Alain B. Schreiber
This figure shows the co-authorship network connecting the top 25 collaborators of Alain B. Schreiber. A scholar is included among the top collaborators of Alain B. Schreiber 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 Alain B. Schreiber. Alain B. Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Membrane Expression of Proteinase 3 is Genetically Controlled | 1 |
| 4 | 13 | |
| 5 | 73 | |
| 6 | 21 | |
| 7 | Human anti-mouse immunoglobulins in sera of patients treated chronically with monoclonal antibody-purified factor VIII. | 14 |
| 8 | 32 | |
| 9 | 127 | |
| 10 | 44 | |
| 11 | 258 | |
| 12 | 36 | |
| 13 | 43 | |
| 14 | 8 | |
| 15 | 42 | |
| 16 | 203 | |
| 17 | 27 | |
| 18 | 5 | |
| 19 | 14 | |
| 20 | 8 |
About Alain B. Schreiber
Alain B. Schreiber is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Immunology, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (8 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Immunology and Allergy (341 citations), Radiology, Nuclear Medicine and Imaging (711 citations) and Cell Biology (488 citations). Alain B. Schreiber has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Rik Derynck, Marjorie E. Winkler, Joseph Schlessinger, Yosef Yarden, Tevie Mehlman, Robert Friesel, Irit Lax, Towia A. Libermann, Thomas Maciag and J. Kenney. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.