Taylor H. Schreiber
- Immunology top 2%
- Immunotherapy and Immune Responses 23
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 14
- Immune Response and Inflammation 5
- Physiology top 1%
- Oncology top 5%
- CAR-T cell therapy research 10
- Cancer Immunotherapy and Biomarkers 10
- Cancer Research top 10%
- Immunology and Allergy top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Bladder and Urothelial Cancer Treatments 4
- Co-authors
- Eckhard R. PodackDietlinde WolfBarry L. KargerPhaethon PhilbrookMichail V. SitkovskyVadim DeyevDmitriy LukashevJeffrey L. Kutok
- Cited by
- ImmunologyPhysiologyOncology
- Journals
- Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (4 papers)SHILAP Revista de lepidopterología (1 paper)
- 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
- Physiology 198
- Oncology 574
- Cancer Research 263
- Immunology and Allergy 51
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
The 25 scholars most cited alongside Taylor H. Schreiber, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 9 | |
| 6 | 2019 | 39 | |
| 7 | 2018 | 35 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 2 | |
| 10 | 2016 | 20 | |
| 11 | 2015 | 23 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 165 | |
| 14 | 2013 | 29 | |
| 15 | 2013 | 30 | |
| 16 | 2010 | 12 | |
| 17 | 2010 | 35 | |
| 18 | 2009 | 33 | |
| 19 | 2008 | 30 | |
| 20 | 2004 | 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), T-cell and B-cell Immunology (14 papers), CAR-T cell therapy research (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Response and Inflammation (5 papers) and Bladder and Urothelial Cancer Treatments (4 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.