Jami McLaughlin
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 19
- Chronic Myeloid Leukemia Treatments 18
- Acute Myeloid Leukemia Research 4
- Oncology 13
- CAR-T cell therapy research 8
- HER2/EGFR in Cancer Research 3
- Co-authors
- Owen N. Witte (29 shared papers)Daniel Afar (6 shared papers)Andrei Goga (6 shared papers)Charles L. Sawyers (4 shared papers)William M. Crist (2 shared papers)Steven S. Clark (2 shared papers)Caius G. Radu (5 shared papers)Richard E. Champlin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Molecular and Cellular Biology (6 papers)Science (4 papers)Blood (2 papers)Nature (2 papers)
- Partner nations
- United StatesAustraliaPoland
In The Last Decade
Jami McLaughlin
32 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 93
- Hematology 1.4k
- Genetics 780
- Immunology 546
- Rheumatology 310
- Oncology 523
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 311 | |
| 2 | 1987 | 295 | |
| 3 | 1994 | 238 | |
| 4 | 1995 | 220 | |
| 5 | 1988 | 213 | |
| 6 | 2005 | 176 | |
| 7 | 1983 | 169 | |
| 8 | 1994 | 168 | |
| 9 | 1987 | 157 | |
| 10 | 2006 | 109 | |
| 11 | 2008 | 87 | |
| 12 | 2013 | 85 | |
| 13 | 1984 | 74 | |
| 14 | 1997 | 71 | |
| 15 | 2005 | 64 | |
| 16 | 2007 | 58 | |
| 17 | 2007 | 58 | |
| 18 | 2018 | 54 | |
| 19 | 1993 | 47 | |
| 20 | 2013 | 38 |
About Jami McLaughlin
Jami McLaughlin is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (18 papers), Chronic Lymphocytic Leukemia Research (9 papers), CAR-T cell therapy research (8 papers), Acute Lymphoblastic Leukemia research (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Acute Myeloid Leukemia Research (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (780 citations), Immunology (546 citations), Rheumatology (310 citations) and Oncology (523 citations). Jami McLaughlin has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include Owen N. Witte, Daniel Afar, Andrei Goga, Charles L. Sawyers, William M. Crist, Steven S. Clark, Caius G. Radu, Richard E. Champlin, Irvin S. Y. Chen 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.