Jami McLaughlin
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Immunology top 5%
- T-cell and Retrovirus Studies
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 27
- Chronic Myeloid Leukemia Treatments 26
- Immunology 13
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 6
- Co-authors
- Owen N. Witte (42 shared papers)Naomi E. Rosenberg (5 shared papers)Daniel Afar (8 shared papers)Michelle A. Kelliher (3 shared papers)Andrei Goga (6 shared papers)Charles L. Sawyers (4 shared papers)Steven S. Clark (2 shared papers)Caius G. Radu (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (18 papers)Molecular and Cellular Biology (8 papers)Science (5 papers)Blood (2 papers)Nature (2 papers)
- Partner nations
- United StatesAustraliaNorway
In The Last Decade
Jami McLaughlin
49 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 79
- Hematology 2k
- Immunology 624
- Oncology 477
- Molecular Biology 1.2k
- Sensory Systems 65
Countries citing papers authored by Jami McLaughlin
This map shows the geographic impact of Jami McLaughlin'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 Jami McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jami McLaughlin more than expected).
Fields of papers citing papers by Jami McLaughlin
This network shows the impact of papers produced by Jami McLaughlin. 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 Jami McLaughlin. The network helps show where Jami McLaughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jami McLaughlin, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 445 | |
| 2 | 1987 | 317 | |
| 3 | 1996 | 298 | |
| 4 | 1987 | 291 | |
| 5 | 1994 | 230 | |
| 6 | 1995 | 215 | |
| 7 | 1988 | 208 | |
| 8 | 2005 | 190 | |
| 9 | 1983 | 166 | |
| 10 | 1994 | 160 | |
| 11 | 1987 | 154 | |
| 12 | 1989 | 125 | |
| 13 | 2006 | 117 | |
| 14 | 1986 | 116 | |
| 15 | 2013 | 90 | |
| 16 | 2008 | 89 | |
| 17 | 2019 | 79 | |
| 18 | 1991 | 76 | |
| 19 | 2019 | 75 | |
| 20 | 1984 | 73 |
About Jami McLaughlin
Jami McLaughlin is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Infectious Diseases, having authored 51 papers that have together received 4.4k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (26 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), CAR-T cell therapy research (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Protein Tyrosine Phosphatases (3 papers), Cancer-related Molecular Pathways (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Hematology (2k citations), Immunology (624 citations), Oncology (477 citations), Molecular Biology (1.2k citations) and Sensory Systems (65 citations). Jami McLaughlin has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include Owen N. Witte, Naomi E. Rosenberg, Daniel Afar, Michelle A. Kelliher, Andrei Goga, Charles L. Sawyers, Steven S. Clark, Caius G. Radu, Donghui Cheng and David W. Golde. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Science, Blood and Nature.
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.