Brian H. Mayall

5.5k citations
85 papers · 4.4k indexed · 2 hit papers · h-index 32
Topics
Cancer Genomics and Diagnostics (9 papers)DNA and Nucleic Acid Chemistry (8 papers)Cell Image Analysis Techniques (8 papers)

In The Last Decade

Brian H. Mayall

85 papers receiving 4.2k citations

Hit Papers

Accumulation of p53 Tumor Suppressor Gene Protein: An Ind...198420261998201219921984200400600

Peers

Brian H. Mayall
Comparison fields: 5 of 143
  • Molecular Biology 1.8k
  • Cancer Research 1.3k
  • Oncology 1.3k
  • Pathology and Forensic Medicine 709
  • Genetics 694
Replace H. Baisch with:
H. Baisch Germany
Kenneth D. Bauer United States
G. Peter Vooijs Netherlands
Kohsuke Sasaki Japan
Bernhard Tribukait Sweden
Joost J. van den Oord Belgium
Lynda G. Bobrow United Kingdom
Cynthia Cohen United States
Hector Battifora United States
C C Bird United Kingdom
Brian H. Mayall relative to H. Baisch Germany H. Baisch's profile →
Citations per field
00.5×1.7×
H. Baisch · 1×
Citations per year

Countries citing papers authored by Brian H. Mayall

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Mayall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian H. Mayall. 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 Brian H. Mayall. The network helps show where Brian H. Mayall may publish in the future.

Co-authorship network of co-authors of Brian H. Mayall

This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Mayall. A scholar is included among the top collaborators of Brian H. Mayall 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 Brian H. Mayall. Brian H. Mayall 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
#WorkIndexed citations
1 2
2 23
3
Blood group antigen expression in bladder tumors: An immunohistochemical study of superficial bladder lesions
5
4 91
5 63
6 3
7 28
8 4
9 20
10 26
11 22
12 6
13 32
14 29
15 69
16 20
17 29
18 36
19
Monoclonal antibodies against bromodeoxyuridine
28
20
Image analysis, flow fluorometry, and flow sorting of mammalian chromosomes
3

About Brian H. Mayall

Brian H. Mayall is a scholar working on Biophysics, Cancer Research and Periodontics, having authored 85 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), DNA and Nucleic Acid Chemistry (8 papers) and Cell Image Analysis Techniques (8 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.3k citations) and Pathology and Forensic Medicine (709 citations). Brian H. Mayall has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Dan H. Moore, Mortimer L. Mendelsohn, Helene S. Smith, Karen Chew, Ann D. Thor, S M Edgerton, Avery A. Sandberg, Robert C. Leif, J. Schumann and Barthel Barlogie. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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