Michael Mowat

2.8k citations
51 papers · 2.3k indexed · h-index 26

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 10
    • Virus-based gene therapy research 8
    • Cancer-related Molecular Pathways 16

Michael Mowat

51 papers receiving 2.2k citations

Peers

Michael Mowat
Comparison fields: 5 of 103
  • Oncology 1.1k
  • Biotechnology 282
  • Molecular Biology 1.5k
  • Genetics 224
  • Cancer Research 263
Replace S J Ullrich with:
S J Ullrich United States
George Vande Woude United States
Elisabetta Marangoni France
J I Johnson United States
Lyubomir T. Vassilev United States
Neil I. Goldstein United States
Rosaria Orlandi Italy
László Perlaky United States
Maria G. Pallavicini United States
Jo Milner United Kingdom
Michael Mowat relative to S J Ullrich United States S J Ullrich's profile →
Citations per field
00.5×
S J Ullrich · 1×
Citations per year

Countries citing papers authored by Michael Mowat

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mowat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202328
2 20221
3 201714
4 201711
5 20163
6 20107
7 200711
8 200627
9 20043
10 19981
11 199825
12 199867
13 199764
14 199551
15
Comparison of antitumor activities of 2-chlorodeoxyadenosine and 9-beta-arabinosyl-2-fluoroadenine in chronic lymphocytic leukemia and marrow cells in vitro.
199525
16 19937
17 199223
18 199126
19 199034
20 198729

About Michael Mowat

Michael Mowat is a scholar working on Genetics, Oncology, Biotechnology, Virology and Molecular Biology, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (16 papers), Chronic Lymphocytic Leukemia Research (10 papers), Virus-based gene therapy research (8 papers), Cancer Research and Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Bacteriophages and microbial interactions (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Oncology (1.1k citations), Biotechnology (282 citations), Molecular Biology (1.5k citations), Genetics (224 citations) and Cancer Research (263 citations). Michael Mowat has collaborated with scholars based in Canada, United States and Ukraine. Frequent co-authors include Samuel Benchimol, Geoffrey G. Hicks, Alan Bernstein, Asher Begleiter, Nancy Stewart, F. Paraskevas, Nobuhiro Kimura, R. C. von Borstel, Witold J. Jachymczyk and P. J. Hastings. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Leukemia Research, Cell Death Discovery and JNCI Journal of the National Cancer Institute.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026