Michael Neat

1.7k citations
38 papers · 1.1k indexed · h-index 18

Michael Neat

37 papers receiving 1.1k citations

Peers

Michael Neat
Comparison fields: 5 of 63
  • Hematology 557
  • Pathology and Forensic Medicine 298
  • Genetics 166
  • Oncology 259
  • Molecular Biology 493
Replace Barbara Gamberi with:
Barbara Gamberi Italy
JM Cayuela France
Gianluigi Castoldi Italy
Susan K. Atwater United States
Ana Rasillo Spain
B Varet France
MS Tallman United States
K.F. Wong China
EA Macintyre France
Blanca Sánchez‐González Spain
Michael Neat relative to Barbara Gamberi Italy Barbara Gamberi's profile →
Citations per field
00.5×1.6×
Barbara Gamberi · 1×
Citations per year

Countries citing papers authored by Michael Neat

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20205
2 201722
3 201423
4 201129
5 20108
6 200842
7 20087
8 200528
9 200389
10 200335
11 20025
12 200135
13 200110
14
Characterization of acute promyelocytic leukemia cases lacking the classic t(15;17): results of the European Working Party. Groupe Francais de Cytogenetique Hematologique, Groupe de Francais d'Hematologie Cellulaire, UK Cancer Cytogenetics Group and BIOMED 1 European Community-Concerted Action "Molecular Cytogenetic Diagnosis in Haematological Malignancies"
200030
15 20006
16 200015
17 20005
18 2000224
19 200061
20
A new recurrent translocation, t(5;11)(q35;p15.5), associated with del(5q) in childhood AML.
19982

About Michael Neat

Michael Neat is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Genomic variations and chromosomal abnormalities (6 papers), Viral-associated cancers and disorders (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (557 citations), Pathology and Forensic Medicine (298 citations), Genetics (166 citations), Oncology (259 citations) and Molecular Biology (493 citations). Michael Neat has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Tim Lister, A. Z. S. Rohatiner, John Amess, Nicola Foot, Debra M. Lillington, Ivana N. Micallef, Janet Matthews, Natalie J. Foot, Jude Fitzgibbon and T. Andrew Lister. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Oncology, Cytogenetic and Genome Research, Blood and Cytopathology.

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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