Michael Pearson
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
-
- Lymphoma Diagnosis and Treatment 2
- Co-authors
- Ian W. Flinn (3 shared papers)John C. Byrd (3 shared papers)John C. Reed (2 shared papers)Shinichi Kitada (2 shared papers)Jennifer L. Aron (1 shared paper)David Lucas (1 shared paper)Jamie K. Waselenko (1 shared paper)Amy Goodrich (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Blood (1 paper)Howard Journal of Communications (1 paper)Respiratory Medicine (1 paper)British Journal of Diseases of the Chest (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Pearson
7 papers receiving 857 citations
Peers
Comparison fields: 5 of 51
- Genetics 523
- Pathology and Forensic Medicine 469
- Immunology 328
- Radiology, Nuclear Medicine and Imaging 288
- Hematology 90
Countries citing papers authored by Michael Pearson
This map shows the geographic impact of Michael Pearson'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 Michael Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pearson more than expected).
Fields of papers citing papers by Michael Pearson
This network shows the impact of papers produced by Michael Pearson. 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 Michael Pearson. The network helps show where Michael Pearson may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Pearson, 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 | 2001 | 434 | |
| 2 | 2002 | 307 | |
| 3 | 2003 | 150 | |
| 4 | 1989 | 5 | |
| 5 | 1979 | 3 | |
| 6 | 1996 | 2 | |
| 7 | 2011 | 1 | |
| 8 | Tempat-tempat imajiner : perlawatan ke dunia sastra Amerika / Michael Pearson; penerjemah: Sori Siregar, Y. Salim, Ayu Utami | 1994 | 0 |
About Michael Pearson
Michael Pearson is a scholar working on Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Education and Surgery, having authored 8 papers that have together received 902 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Youth Development and Social Support (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Polar Research and Ecology (1 paper), Archaeology and ancient environmental studies (1 paper) and Indigenous Studies and Ecology (1 paper). The work is most often cited by research in Genetics (523 citations), Pathology and Forensic Medicine (469 citations), Immunology (328 citations), Radiology, Nuclear Medicine and Imaging (288 citations) and Hematology (90 citations). Michael Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ian W. Flinn, John C. Byrd, John C. Reed, Shinichi Kitada, Jennifer L. Aron, David Lucas, Jamie K. Waselenko, Amy Goodrich, J. Rosenberg and Geoffrey Ling. Their work appears in journals such as Journal of Clinical Oncology, Blood, Howard Journal of Communications, Respiratory Medicine and British Journal of Diseases of the Chest.
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.