Mary Callanan

4.4k citations
68 papers · 1.9k · h-index 22

Impact in

Papers in

Mary Callanan

66 papers receiving 1.9k citations

Peers

Mary Callanan
Comparison fields: 5 of 85
  • Genetics 286
  • Pathology and Forensic Medicine 391
  • Hematology 181
  • Oncology 396
  • Molecular Biology 937
Replace Jean‐Pierre Magaud with:
Jean‐Pierre Magaud France
Amy S. Duffield United States
Mamiko Sakata‐Yanagimoto Japan
M. L. Cleary United States
Franziska Jundt Germany
Deqin Ma United States
E Horst Netherlands
Miki Yamaguchi Japan
Gunnar Wrobel Germany
Kathleen Tomkinson United States
Mary Callanan relative to Jean‐Pierre Magaud France Jean‐Pierre Magaud's profile →
Citations per field
00.5×4.5×
Jean‐Pierre Magaud · 1×
Citations per year

Countries citing papers authored by Mary Callanan

Since Specialization
Citations

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

Fields of papers citing papers by Mary Callanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010226
2 2018139
3 1997106
4 200296
5 200995
6 200993
7 202081
8 200481
9 200175
10 200275
11 200070
12 201657
13 201046
14 200945
15 199643
16 200341
17 201140
18 200033
19 200130
20 201528

About Mary Callanan

Mary Callanan is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Oncology and Hematology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Chronic Lymphocytic Leukemia Research (27 papers), Viral-associated cancers and disorders (8 papers), Acute Myeloid Leukemia Research (8 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (6 papers) and Shoulder Injury and Treatment (5 papers). The work is most often cited by research in Genetics (286 citations), Pathology and Forensic Medicine (391 citations), Hematology (181 citations), Oncology (396 citations) and Molecular Biology (937 citations). Mary Callanan has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include Anastasios Paxinos, George A.C. Murrell, Dominique Leroux, Claire Vourc’h, Kimberley Hayes, Angéline Eymery, Rémy Gressin, Judie Walton, Eric Julien and Julien Brustel. Their work appears in journals such as Blood, Leukemia, Cancers, HemaSphere and Genes Chromosomes and Cancer.

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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