Steven Schaffert
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Aging top 5%
Papers in
- Immunology 17
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Immune cells in cancer 3
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- Acute Myeloid Leukemia Research 5
- Co-authors
- Mark M. DavisPurvesh KhatriChang‐Zheng ChenRita FragosoChristina LohCornelia L. DekkerSheri M. KramsOlivia M. Martinez
- Journals
- The Journal of Immunology (4 papers)Blood (4 papers)American Journal of Transplantation (3 papers)Transplantation (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Steven Schaffert
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Immunology 662
- Aging 51
- Cancer Research 262
- Biological Psychiatry 40
- Molecular Biology 690
Countries citing papers authored by Steven Schaffert
This map shows the geographic impact of Steven Schaffert'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 Steven Schaffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Schaffert more than expected).
Fields of papers citing papers by Steven Schaffert
This network shows the impact of papers produced by Steven Schaffert. 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 Steven Schaffert. The network helps show where Steven Schaffert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Schaffert, 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 | 2022 | 4 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 0 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 292 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 100 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 233 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 13 | |
| 16 | 2014 | 143 | |
| 17 | 2012 | 103 | |
| 18 | 2010 | 10 | |
| 19 | 2010 | 46 | |
| 20 | 2001 | 4 |
About Steven Schaffert
Steven Schaffert is a scholar working on Immunology, Hematology, Biological Psychiatry, Cancer Research and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Acute Myeloid Leukemia Research (5 papers), Single-cell and spatial transcriptomics (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Epigenetics and DNA Methylation (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Immunology (662 citations), Aging (51 citations), Cancer Research (262 citations), Biological Psychiatry (40 citations) and Molecular Biology (690 citations). Steven Schaffert has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mark M. Davis, Purvesh Khatri, Chang‐Zheng Chen, Rita Fragoso, Christina Loh, Cornelia L. Dekker, Sheri M. Krams, Olivia M. Martinez, Francesco Vallania and Olivia Hatton. Their work appears in journals such as The Journal of Immunology, Blood, American Journal of Transplantation, Transplantation and Nature Medicine.
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.