Hans Schreiber
- Immunology top 0.1%
- Oncology top 0.2%
- Molecular Biology top 2%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Yang‐Xin FuThomas F. GajewskiDonald A. RowleyMary PhilipJ L UrbanJay L. RothsteinMichael T. SpiottoAndrea Schietinger
- Topics
- Immunotherapy and Immune Responses (97 papers)CAR-T cell therapy research (54 papers)Monoclonal and Polyclonal Antibodies Research (39 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Hans Schreiber
238 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 7.9k
- Oncology 6.7k
- Molecular Biology 3.6k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Hans Schreiber
This map shows the geographic impact of Hans 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 Hans Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Schreiber more than expected).
Fields of papers citing papers by Hans Schreiber
This network shows the impact of papers produced by Hans 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 Hans Schreiber. The network helps show where Hans Schreiber may publish in the future.
Co-authorship network of co-authors of Hans Schreiber
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Schreiber. A scholar is included among the top collaborators of Hans 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 Hans Schreiber. Hans 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 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 57 | |
| 7 | 18 | |
| 8 | 28 | |
| 9 | 14 | |
| 10 | 59 | |
| 11 | 65 | |
| 12 | 45 | |
| 13 | 21 | |
| 14 | 59 | |
| 15 | 125 | |
| 16 | Ulcusrisiko durch Refluxverhtung?: Ergebnisse der Jejunum-Interposition | 1 |
| 17 | Arzt und Patient zwischen Therapie und Recht | 2 |
| 18 | [Pancreas resection, -extirpation, reparation through isoperistaltic segment-interposition]. | 1 |
| 19 | Das Carcinom am Anus praeter* Tierexperimentelle Untersuchungen und klinische Beobachtungen | 2 |
| 20 | Die Chirurgie des Magensarkoms | 3 |
About Hans Schreiber
Hans Schreiber is a scholar working on Immunology, Oncology and Biotechnology, having authored 252 papers that have together received 13.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (97 papers), CAR-T cell therapy research (54 papers) and Monoclonal and Polyclonal Antibodies Research (39 papers). The work is most often cited by research in Immunology (7.9k citations), Oncology (6.7k citations) and Cancer Research (1.4k citations). Hans Schreiber has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Yang‐Xin Fu, Thomas F. Gajewski, Donald A. Rowley, Mary Philip, J L Urban, Jay L. Rothstein, Michael T. Spiotto, Andrea Schietinger, Ping Yu and Stephen C. Meredith. 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.