Tom Maishman

7.1k citations
38 papers · 1.1k · h-index 18

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Risks and Factors
    • Global Cancer Incidence and Screening
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

Tom Maishman

36 papers receiving 1.1k citations

Peers

Tom Maishman
Comparison fields: 5 of 86
  • Cancer Research 320
  • Oncology 376
  • Genetics 182
  • Pathology and Forensic Medicine 87
  • Pulmonary and Respiratory Medicine 142
Replace Henrica M.J. Werner with:
Henrica M.J. Werner Norway
Robert Warren United States
Trevor E. Angell United States
Laura Kruper United States
Ida Bukholm Norway
Francesco Nuzzo Italy
Shasha Tao China
Marcella Baldewijns Belgium
Douglas Adamson United Kingdom
Shantanu Banerji Canada
Tom Maishman relative to Henrica M.J. Werner Norway Henrica M.J. Werner's profile →
Citations per field
00.5×1.5×2.1×
Henrica M.J. Werner · 1×
Citations per year

Countries citing papers authored by Tom Maishman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Maishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017170
2 2013148
3 201699
4 201586
5 201679
6 201467
7 201357
8 201939
9 201738
10 201532
11 201830
12 202027
13 202023
14 201521
15 201520
16 201719
17 201719
18 202217
19 202015
20 201714

About Tom Maishman

Tom Maishman is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), BRCA gene mutations in cancer (4 papers), Breast Cancer Treatment Studies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Urinary Tract Infections Management (2 papers), Occupational and environmental lung diseases (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Cancer Research (320 citations), Oncology (376 citations), Genetics (182 citations), Pathology and Forensic Medicine (87 citations) and Pulmonary and Respiratory Medicine (142 citations). Tom Maishman has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Ellen Copson, Diana Eccles, Lorraine Durcan, Louise Stanton, Ramsey Cutress, J. Louise Jones, Sue Gerty, Bryony Eccles, Peter Simmonds and Jean Abraham. Their work appears in journals such as Trials, British Journal of Cancer, Annals of Oncology, Blood and Cancer Research.

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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