Michael Pearson

1.1k citations
8 papers · 915 · h-index 4

Impact in

Papers in

Michael Pearson

7 papers receiving 862 citations

Peers

Michael Pearson
Comparison fields: 5 of 49
  • Genetics 536
  • Pathology and Forensic Medicine 482
  • Immunology 330
  • Radiology, Nuclear Medicine and Imaging 290
  • Hematology 90
Replace Matthew S. Kaufman with:
Matthew S. Kaufman United States
Andreas Agathangelidis Greece
Heather Bethea Horne United States
Till Seiler Germany
Daniel Santos United States
Elisabeth Wassner-Fritsch Switzerland
Elisa Sozzi Italy
Lesley‐Ann Sutton Sweden
Giuliana Strola Italy
Guiyuan Lei United Kingdom
Michael Pearson relative to Matthew S. Kaufman United States Matthew S. Kaufman's profile →
Citations per field
00.5×2×3.1×
Matthew S. Kaufman · 1×
Citations per year

Countries citing papers authored by Michael Pearson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Pearson Line = papers co-authored together Michael Pearson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2001442
2 2002313
3 2003150
4 19895
5 19793
6 19961
7 20111
8
Tempat-tempat imajiner : perlawatan ke dunia sastra Amerika / Michael Pearson; penerjemah: Sori Siregar, Y. Salim, Ayu Utami
19940

About Michael Pearson

Michael Pearson is a scholar working on Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Paleontology and Safety Research, having authored 8 papers that have together received 915 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Teacher Education and Leadership Studies (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Indigenous Studies and Ecology (1 paper), Thyroid and Parathyroid Surgery (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Early Childhood Education and Development (1 paper). The work is most often cited by research in Genetics (536 citations), Pathology and Forensic Medicine (482 citations), Immunology (330 citations), Radiology, Nuclear Medicine and Imaging (290 citations) and Hematology (90 citations). Michael Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John C. Byrd, Ian W. Flinn, Shinichi Kitada, John C. Reed, David M Lucas, Jennifer L. Aron, Robin Howard, Amy Goodrich, Jay A. Rosenberg and Geoffrey S.F. Ling. Their work appears in journals such as Journal of Clinical Oncology, Respiratory Medicine, Blood, Howard Journal of Communications 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.

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