Matthew M. Halpert
Impact in
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Pharmacology top 10%
- Cannabis and Cannabinoid Research
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- William K. Decker (18 shared papers)Vanaja Konduri (15 shared papers)Jonathan Vazquez‐Perez (6 shared papers)Jonathan M. Levitt (10 shared papers)Kenneth Dunner (2 shared papers)Dan Liang (5 shared papers)Christopher D. Verrico (1 shared paper)Pedram Salimpour (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)The FASEB Journal (2 papers)Frontiers in Immunology (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Matthew M. Halpert
17 papers receiving 449 citations
Peers
Comparison fields: 5 of 74
- Immunology 154
- Pharmacology 109
- Oncology 99
- Endocrine and Autonomic Systems 16
- Equine 4
Countries citing papers authored by Matthew M. Halpert
This map shows the geographic impact of Matthew M. Halpert'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 Matthew M. Halpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Halpert more than expected).
Fields of papers citing papers by Matthew M. Halpert
This network shows the impact of papers produced by Matthew M. Halpert. 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 Matthew M. Halpert. The network helps show where Matthew M. Halpert may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew M. Halpert, 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 | 2020 | 138 | |
| 2 | 2021 | 70 | |
| 3 | 2016 | 44 | |
| 4 | 2012 | 41 | |
| 5 | 2018 | 25 | |
| 6 | 2016 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2011 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 5 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2012 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2017 | 0 |
About Matthew M. Halpert
Matthew M. Halpert is a scholar working on Immunology, Oncology, Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 454 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (2 papers), Cannabis and Cannabinoid Research (2 papers), Veterinary Oncology Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Immunology (154 citations), Pharmacology (109 citations), Oncology (99 citations), Endocrine and Autonomic Systems (16 citations) and Equine (4 citations). Matthew M. Halpert has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include William K. Decker, Vanaja Konduri, Jonathan Vazquez‐Perez, Jonathan M. Levitt, Kenneth Dunner, Dan Liang, Christopher D. Verrico, Pedram Salimpour, Scott A. Weldon and Silke Paust. Their work appears in journals such as The Journal of Immunology, The FASEB Journal, Frontiers in Immunology, PLoS ONE and Cancer Research.
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.