Keith McCarthy

63 papers receiving 3.2k citations

Peers

Keith McCarthy
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 1.9k
  • Genetics 501
  • Oncology 1.0k
  • Dermatology 305
  • Neurology 499
Replace Markus Tiemann with:
Markus Tiemann Germany
Stefano Ascani Italy
C. De Wolf‐Peeters Belgium
K Hou-Jensen Denmark
John K.C. Chan China
Konnie M. Hebeda Netherlands
Richard S. Neiman United States
Tim C. Diss United Kingdom
John B. Cousar United States
Fabio Menestrina Italy
Keith McCarthy relative to Markus Tiemann Germany Markus Tiemann's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Keith McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Keith McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith McCarthy. 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 Keith McCarthy. The network helps show where Keith McCarthy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006279
2
A simplified method of detection of clonal rearrangements of the T-cell receptor-gamma chain gene.
1992231
3 2006227
4 1990168
5 2012129
6 2008129
7
An improved method for detection of B-lymphoid clonality by polymerase chain reaction.
1991124
8 2011117
9
The rapid detection of clonal T-cell proliferations in patients with lymphoid disorders.
1991114
10 2007113
11 2002107
12 2007104
13 201198
14 199397
15 199387
16 199183
17 200881
18 200074
19 199574
20 199773

About Keith McCarthy

Keith McCarthy is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Acute Lymphoblastic Leukemia research (8 papers), T-cell and Retrovirus Studies (7 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Sarcoma Diagnosis and Treatment (5 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.9k citations), Genetics (501 citations), Oncology (1.0k citations), Dermatology (305 citations) and Neurology (499 citations). Keith McCarthy has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Leanne M. Wiedemann, J P Sloane, Mary Gerrard, Catherine Patte, Mitchell S. Cairo, Richard Sposto, Anne Aupérin, Sherrie L. Perkins, Martine Raphaël and Janusz H. Kabarowski. Their work appears in journals such as Blood, British Journal of Haematology, Histopathology, Diagnostic Molecular Pathology and The Journal of Pathology.

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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