Andrew Stiff
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 16
- Immune cells in cancer 8
- Immune Cell Function and Interaction 6
- Immunodeficiency and Autoimmune Disorders 3
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- Protein Degradation and Inhibitors 5
- Melanoma and MAPK Pathways 4
- Co-authors
- William E. Carson (16 shared papers)Megan Duggan (8 shared papers)Robert Wesolowski (7 shared papers)Susheela Tridandapani (6 shared papers)Xiulan Lai (1 shared paper)Avner Friedman (1 shared paper)Flavia Pichiorri (4 shared papers)Thomas A. Mace (3 shared papers)
- Journals
- Blood (3 papers)Oncotarget (2 papers)OncoImmunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesChinaGreece
In The Last Decade
Andrew Stiff
23 papers receiving 570 citations
Peers
Comparison fields: 5 of 64
- Immunology 274
- Oncology 271
- Modeling and Simulation 35
- Genetics 59
- Hematology 58
Countries citing papers authored by Andrew Stiff
This map shows the geographic impact of Andrew Stiff'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 Andrew Stiff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Stiff more than expected).
Fields of papers citing papers by Andrew Stiff
This network shows the impact of papers produced by Andrew Stiff. 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 Andrew Stiff. The network helps show where Andrew Stiff may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Stiff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2017 | 75 | |
| 3 | 2014 | 71 | |
| 4 | 2017 | 55 | |
| 5 | 2015 | 54 | |
| 6 | 2015 | 36 | |
| 7 | 2015 | 34 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 26 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2016 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2016 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 2 |
About Andrew Stiff
Andrew Stiff is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Genetics, having authored 26 papers that have together received 577 indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Immune Cell Function and Interaction (6 papers), Protein Degradation and Inhibitors (5 papers), Melanoma and MAPK Pathways (4 papers), Virus-based gene therapy research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (274 citations), Oncology (271 citations), Modeling and Simulation (35 citations), Genetics (59 citations) and Hematology (58 citations). Andrew Stiff has collaborated with scholars based in United States, China and Greece. Frequent co-authors include William E. Carson, Megan Duggan, Robert Wesolowski, Susheela Tridandapani, Xiulan Lai, Avner Friedman, Flavia Pichiorri, Thomas A. Mace, Craig C. Hofmeister and Douglas W. Sborov. Their work appears in journals such as Blood, Oncotarget, OncoImmunology, Proceedings of the National Academy of Sciences and Molecular Cancer Therapeutics.
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.