Richard Mair

3.2k total citations
29 papers, 1.0k citations indexed

About

Richard Mair is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Richard Mair has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Richard Mair's work include Glioma Diagnosis and Treatment (14 papers), Meningioma and schwannoma management (5 papers) and Medical Imaging Techniques and Applications (4 papers). Richard Mair is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Meningioma and schwannoma management (5 papers) and Medical Imaging Techniques and Applications (4 papers). Richard Mair collaborates with scholars based in United Kingdom, United States and Netherlands. Richard Mair's co-authors include Thomas Carroll, Florent Moulière, Kevin M. Brindle, Kevin Morris, Ian Scott, Colin Watts, James B. Heald, Alan J. Wright, Francesco Marass and Nitzan Rosenfeld and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Richard Mair

27 papers receiving 1.0k citations

Peers

Richard Mair
Comparison fields: 5 of 97
  • Epidemiology 361
  • Cancer Research 307
  • Genetics 256
  • Molecular Biology 252
  • Neurology 204
Replace Soumen Khatua with:
Soumen Khatua United States
Christopher McKenzie United Kingdom
Igor Yu. Kogan Russia
R. Mairs United Kingdom
Friederike Liesche‐Starnecker Germany
Robert E. Albright United States
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Y E Miller United States
Hans J. Altermatt Switzerland
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Soumen Khatua United States View profile →
Citations per field, relative to Richard Mair
Richard Mair · 1×
Citations per year, relative to Richard Mair
Richard Mair · 1×

Countries citing papers authored by Richard Mair

Since Specialization
Citations

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

Fields of papers citing papers by Richard Mair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Mair

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Mair. A scholar is included among the top collaborators of Richard Mair 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 Richard Mair. Richard Mair 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 0
2 0
3 8
4 7
5 4
6 3
7 7
8 48
9 8
10 68
11 33
12 20
13 117
14 45
15 78
16 7
17 40
18 37
19 62
20 16

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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