Taylor H. Schreiber
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 10%
- Physiology top 1%
- Co-authors
- Eckhard R. PodackDietlinde WolfBarry L. KargerPhaethon PhilbrookMichail V. SitkovskyVadim DeyevDmitriy LukashevJeffrey L. Kutok
- Topics
- Immunotherapy and Immune Responses (23 papers)Immune Cell Function and Interaction (20 papers)T-cell and B-cell Immunology (14 papers)
- Cited by
- ImmunologyPhysiologyOncology
- Journals
- Journal of Clinical InvestigationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Taylor H. Schreiber
48 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.0k
- Oncology 574
- Molecular Biology 475
- Cancer Research 263
- Physiology 198
Countries citing papers authored by Taylor H. Schreiber
This map shows the geographic impact of Taylor H. 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 Taylor H. Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor H. Schreiber more than expected).
Fields of papers citing papers by Taylor H. Schreiber
This network shows the impact of papers produced by Taylor H. 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 Taylor H. Schreiber. The network helps show where Taylor H. Schreiber may publish in the future.
Co-authorship network of co-authors of Taylor H. Schreiber
This figure shows the co-authorship network connecting the top 25 collaborators of Taylor H. Schreiber. A scholar is included among the top collaborators of Taylor H. 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 Taylor H. Schreiber. Taylor H. 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 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 39 | |
| 7 | 35 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | 165 | |
| 14 | 29 | |
| 15 | 30 | |
| 16 | 12 | |
| 17 | 35 | |
| 18 | 33 | |
| 19 | 30 | |
| 20 | 120 |
About Taylor H. Schreiber
Taylor H. Schreiber is a scholar working on Immunology, Oncology and Physiology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (14 papers). The work is most often cited by research in Immunology (1.0k citations), Physiology (198 citations) and Oncology (574 citations). Taylor H. Schreiber has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Eckhard R. Podack, Dietlinde Wolf, Barry L. Karger, Phaethon Philbrook, Michail V. Sitkovsky, Vadim Deyev, Dmitriy Lukashev, Jeffrey L. Kutok, Robert Abbott and Shalini Sethumadhavan. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.