ML Cleary

9.5k citations
50 papers · 8.0k · 1 hit paper · h-index 28

Impact in

Papers in

ML Cleary

49 papers receiving 7.5k 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 · 5.2k citations
5.2k0+10+21Years since publication10002.0k3.0k4.0k5.0k

Peers

ML Cleary
Comparison fields: 5 of 105
  • Pathology and Forensic Medicine 4.8k
  • Genetics 2.0k
  • Hematology 1.2k
  • Oncology 2.8k
  • Dermatology 609
Replace Iwona Włodarska with:
Iwona Włodarska Belgium
Douglas E. Horsman Canada
Michinori Ogura Japan
Lorenz Trümper Germany
Philip M. Kluin Netherlands
Lisa M. Rimsza United States
D. K. Hossfeld Germany
Estella Matutes United Kingdom
Timothy C. Greiner United States
Corrado Tarella Italy
ML Cleary relative to Iwona Włodarska Belgium Iwona Włodarska's profile →
Citations per field
00.5×1.6×
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 50 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 →
19945243
2 1975224
3 1989212
4 1991170
5 1988158
6 1994155
7 1993142
8 1994128
9 1994123
10 1994118
11 1993112
12 1993104
13 1993101
14 199196
15 198989
16 198884
17 199163
18 198562
19 199157
20 199452

About ML Cleary

ML Cleary is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 50 papers that have together received 8.0k 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 (12 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 (4.8k citations), Genetics (2.0k citations), Hematology (1.2k citations), Oncology (2.8k citations) and Dermatology (609 citations). ML Cleary has collaborated with scholars based in United States and Canada. Frequent co-authors include Brunangelo Falini, K C Gatter, Georges Delsol, Banks Pm, Chan Jk, NL Harris, Chris Peeters, H Stein, MP Link and SP Hunger. Their work appears in journals such as Blood, Journal of Applied Physiology and Leukemia.

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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