Tom Maishman

7.0k citations
45 papers · 1.1k · h-index 18

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Global Cancer Incidence and Screening
    • Cancer Risks and Factors
    • Lung Cancer Research Studies

Papers in

Tom Maishman

43 papers receiving 1.1k citations

Peers

Tom Maishman
Comparison fields: 5 of 104
  • Cancer Research 452
  • Oncology 576
  • Genetics 235
  • Pathology and Forensic Medicine 148
  • Pulmonary and Respiratory Medicine 212
Replace Henry G. Kaplan with:
Henry G. Kaplan United States
Yujing J. Heng United States
Marcella Baldewijns Belgium
Anni Ravnsbæk Jensen Denmark
S A Narod Canada
Matthias W. Beckmann Germany
Kosj Yamoah United States
Benita Kiat Tee Tan Singapore
Henrica M.J. Werner Norway
S. Alran France
Tom Maishman relative to Henry G. Kaplan United States Henry G. Kaplan's profile →
Citations per field
00.5×1.5×2.1×
Henry G. Kaplan · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 2013141
3 201697
4 201585
5 201679
6 201465
7 201356
8 201938
9 201737
10 201830
11 201530
12 202024
13 202022
14 201521
15 201520
16 201719
17 201719
18 202018
19 202217
20 202015

About Tom Maishman

Tom Maishman is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), CAR-T cell therapy research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), BRCA gene mutations in cancer (4 papers), Global Cancer Incidence and Screening (4 papers), Breast Lesions and Carcinomas (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Breast Implant and Reconstruction (3 papers). The work is most often cited by research in Cancer Research (452 citations), Oncology (576 citations), Genetics (235 citations), Pathology and Forensic Medicine (148 citations) and Pulmonary and Respiratory Medicine (212 citations). Tom Maishman has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Diana Eccles, Ellen Copson, 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 European Journal of Surgical Oncology.

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