Daniel S. Schullery
Impact in
- Virology top 10%
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Cell Adhesion Molecules Research 2
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- RNA Research and Splicing 3
- Protein Kinase Regulation and GTPase Signaling 3
- TGF-β signaling in diseases 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Karol Bomsztyk (7 shared papers)Jerzy Ostrowski (4 shared papers)Hideaki Suzuki (3 shared papers)Maria Shnyreva (2 shared papers)Oleg N. Denisenko (5 shared papers)Luise Stempka (2 shared papers)Michael Gschwendt (2 shared papers)Julian D. Watts (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Blood (2 papers)Cancer Immunology Immunotherapy (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Daniel S. Schullery
11 papers receiving 543 citations
Peers
Comparison fields: 5 of 63
- Virology 35
- Immunology 118
- Molecular Biology 382
- Oncology 103
- Cardiology and Cardiovascular Medicine 69
Countries citing papers authored by Daniel S. Schullery
This map shows the geographic impact of Daniel S. Schullery'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 Daniel S. Schullery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Schullery more than expected).
Fields of papers citing papers by Daniel S. Schullery
This network shows the impact of papers produced by Daniel S. Schullery. 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 Daniel S. Schullery. The network helps show where Daniel S. Schullery may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Schullery, 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 | 2011 | 99 | |
| 2 | 2000 | 97 | |
| 3 | 1999 | 86 | |
| 4 | 2012 | 76 | |
| 5 | 2000 | 74 | |
| 6 | 2001 | 54 | |
| 7 | 2004 | 33 | |
| 8 | 2002 | 16 | |
| 9 | 1993 | 10 | |
| 10 | 1998 | 4 | |
| 11 | 2008 | 3 |
About Daniel S. Schullery
Daniel S. Schullery is a scholar working on Immunology and Allergy, Molecular Biology, Transplantation, Immunology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 552 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell Adhesion Molecules Research (2 papers), TGF-β signaling in diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), Lipid metabolism and biosynthesis (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Virology (35 citations), Immunology (118 citations), Molecular Biology (382 citations), Oncology (103 citations) and Cardiology and Cardiovascular Medicine (69 citations). Daniel S. Schullery has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Karol Bomsztyk, Jerzy Ostrowski, Hideaki Suzuki, Maria Shnyreva, Oleg N. Denisenko, Luise Stempka, Michael Gschwendt, Julian D. Watts, Mark Aloysuis Morgan and Bruce L. Levine. Their work appears in journals such as Journal of Biological Chemistry, Blood, Cancer Immunology Immunotherapy, American Journal of Physiology-Renal Physiology 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.