Eric Perkey
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 3
-
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 5
- Co-authors
- Ivan P. Maillard (13 shared papers)Heejin Jun (2 shared papers)Jun Wu (2 shared papers)Robert T. Kennedy (2 shared papers)Gonzalo G. Garcia (2 shared papers)Richard A. Miller (2 shared papers)Hui Min Yu (1 shared paper)Jung-Sun Cho (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)Journal of Clinical Investigation (4 papers)Blood (4 papers)Cell (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Eric Perkey
26 papers receiving 2.5k citations
Eric Perkey's Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 923
- Neurology 465
- Hematology 336
- Immunology 520
- Oncology 458
Countries citing papers authored by Eric Perkey
This map shows the geographic impact of Eric Perkey'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 Eric Perkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Perkey more than expected).
Fields of papers citing papers by Eric Perkey
This network shows the impact of papers produced by Eric Perkey. 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 Eric Perkey. The network helps show where Eric Perkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Perkey, 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 | Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications Hit paper breakdown → | 2020 | 1180 |
| 2 | Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies Hit paper breakdown → | 2020 | 367 |
| 3 | 2019 | 193 | |
| 4 | 2021 | 159 | |
| 5 | 2020 | 131 | |
| 6 | 2018 | 78 | |
| 7 | 2017 | 70 | |
| 8 | 2017 | 53 | |
| 9 | 2022 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2021 | 38 | |
| 12 | 2018 | 29 | |
| 13 | 2020 | 28 | |
| 14 | 2023 | 19 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 8 |
About Eric Perkey
Eric Perkey is a scholar working on Hematology, Immunology, Molecular Biology, Immunology and Allergy and Physiology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), COVID-19 Clinical Research Studies (3 papers), Protein Degradation and Inhibitors (3 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Infectious Diseases (923 citations), Neurology (465 citations), Hematology (336 citations), Immunology (520 citations) and Oncology (458 citations). Eric Perkey has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ivan P. Maillard, Heejin Jun, Jun Wu, Robert T. Kennedy, Gonzalo G. Garcia, Richard A. Miller, Hui Min Yu, Jung-Sun Cho, Bruce R. Blazar and Xiaona Qiao. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, Blood, Cell and The EMBO Journal.
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.