ML Cleary

9.5k total citations · 1 hit paper
49 papers, 7.5k citations indexed

About

ML Cleary is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, ML Cleary has authored 49 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 16 papers in Public Health, Environmental and Occupational Health and 15 papers in Molecular Biology. Recurrent topics in ML Cleary's work include Acute Lymphoblastic Leukemia research (15 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Lymphoma Diagnosis and Treatment (13 papers). ML Cleary is often cited by papers focused on Acute Lymphoblastic Leukemia research (15 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Lymphoma Diagnosis and Treatment (13 papers). ML Cleary collaborates with scholars based in United States and Canada. ML Cleary's co-authors include Brunangelo Falini, K C Gatter, Georges Delsol, Banks Pm, NL Harris, Chan Jk, H Stein, Chris Peeters, MP Link and SP Hunger and has published in prestigious journals such as Blood, Journal of Applied Physiology and Leukemia.

In The Last Decade

ML Cleary

49 papers receiving 7.3k citations

Hit Papers

A revised European-American classification of lymphoid ne... 1994 2026 2004 2015 1994 1000 2.0k 3.0k 4.0k

Peers

ML Cleary
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 5.0k
  • Oncology 3.1k
  • Genetics 2.1k
  • Immunology 1.4k
  • Molecular Biology 1.2k
Replace Iwona Włodarska with:
Iwona Włodarska Belgium
Lorenz Trümper Germany
Michinori Ogura Japan
Douglas E. Horsman Canada
Corrado Tarella Italy
Philip M. Kluin Netherlands
Timothy C. Greiner United States
D. K. Hossfeld Germany
Eckhart Weidmann Germany
Pierluigi Porcu United States
Iwona Włodarska Belgium View profile →
Citations per field, relative to ML Cleary
ML Cleary · 1×
Citations per year, relative to ML Cleary
ML Cleary · 1×

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-authorship network of co-authors of ML Cleary

This figure shows the co-authorship network connecting the top 25 collaborators of ML Cleary. A scholar is included among the top collaborators of ML Cleary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with ML Cleary. ML Cleary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 32
3 26
4
A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group [see comments] breakdown →
4981
5 125
6 5
7 3
8 14
9 1
10 7
11 206
12 84
13 1
14 150
15 7
16 23
17 38
18 4
19 19
20 48

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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