ML Cleary

9.5k citations
49 papers · 7.5k · 1 hit paper · h-index 27

Impact in

Papers in

ML Cleary

49 papers receiving 7.3k citations

ML Cleary's Hit Papers

A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group [see comments] 1994 · 5.0k citations
5.0k0+10+21Years since publication10002.0k3.0k4.0k

Peers

ML Cleary
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 5.0k
  • Genetics 2.1k
  • Oncology 3.1k
  • Hematology 1.2k
  • Dermatology 650
Replace Iwona Włodarska with:
Iwona Włodarska Belgium
Douglas E. Horsman Canada
Michinori Ogura Japan
Lorenz Trümper Germany
D. K. Hossfeld Germany
Chan Jk Canada
Jerome S. Burke United States
Estella Matutes United Kingdom
Philip M. Kluin Netherlands
Timothy C. Greiner United States
ML Cleary relative to Iwona Włodarska Belgium Iwona Włodarska's profile →
Citations per field
00.5×1.7×
Iwona Włodarska · 1×
Citations per year

Countries citing papers authored by ML Cleary

Since Specialization
Citations

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

Fields of papers citing papers by ML Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group [see comments]
Hit paper breakdown →
19944981
2 1975208
3 1989206
4 1991161
5 1988150
6 1994134
7 1993134
8 1994125
9 1994118
10 1994112
11 1993106
12 199398
13 199393
14 199190
15 198984
16 198878
17 198562
18 199159
19 199154
20 198448

About ML Cleary

ML Cleary is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 49 papers that have together received 7.5k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (15 papers), Chronic Myeloid Leukemia Treatments (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (11 papers), Viral-associated cancers and disorders (6 papers), Immune Cell Function and Interaction (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (5.0k citations), Genetics (2.1k citations), Oncology (3.1k citations), Hematology (1.2k citations) and Dermatology (650 citations). ML Cleary has collaborated with scholars based in United States and Canada. Frequent co-authors include K C Gatter, Brunangelo Falini, Georges Delsol, Banks Pm, Chan Jk, NL Harris, H Stein, Chris Peeters, MP Link and SP Hunger. Their work appears in journals such as Blood, Leukemia and Journal of Applied Physiology.

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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