John H. Proffitt

1.3k citations
17 papers · 1.1k · h-index 15

Impact in

Papers in

    • Protein Degradation and Inhibitors 2
    • Epigenetics and DNA Methylation 2
    • Genomic variations and chromosomal abnormalities 3
    • Chronic Lymphocytic Leukemia Research 2

John H. Proffitt

17 papers receiving 1.0k citations

Peers

John H. Proffitt
Comparison fields: 5 of 66
  • Genetics 418
  • Pathology and Forensic Medicine 378
  • Hematology 175
  • Immunology 162
  • Oncology 164
Replace S Hirosawa with:
S Hirosawa Japan
Sophie Gazzo France
D Germain France
Jin Hong Liu United States
Andrea G.S. Buggins United Kingdom
Bryan Ciccarelli United States
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James Dalton United States
TW Mak Canada
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Citations per field
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Citations per year

Countries citing papers authored by John H. Proffitt

Since Specialization
Citations

This map shows the geographic impact of John H. Proffitt'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 John H. Proffitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Proffitt more than expected).

Fields of papers citing papers by John H. Proffitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Proffitt. 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 John H. Proffitt. The network helps show where John H. Proffitt may publish in the future.

Co-authors

The 25 scholars most cited alongside John H. Proffitt, 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 John H. Proffitt Line = papers co-authored together John H. Proffitt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004305
2 1984150
3 200090
4 200489
5
Interphase cytogenetic abnormalities in chronic lymphocytic leukemia may predict response to rituximab.
200373
6
A molecular cytogenetic analysis of 7q31 in prostate cancer.
199866
7 198461
8 199958
9 197752
10 200429
11 199522
12 200018
13 200217
14 198516
15 199315
16
Complex Y chromosome aberrations are a recurrent secondary event in radiation-induced murine acute myeloid leukaemia.
199511
17 20049

About John H. Proffitt

John H. Proffitt is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Oncology and Hematology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Epigenetics and DNA Methylation (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Genetics (418 citations), Pathology and Forensic Medicine (378 citations), Hematology (175 citations), Immunology (162 citations) and Oncology (164 citations). John H. Proffitt has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include David Swinton, James Davie, Stanley Hattman, John C. Byrd, Nyla A. Heerema, Lisa Smith, Ian W. Flinn, W.G.M. Hardison, Michael R. Grever and David Lucas. Their work appears in journals such as Molecular and Cellular Biology, Leukemia, Blood, Genes Chromosomes and Cancer and American Journal of Physiology-Endocrinology and Metabolism.

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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