F. Mayall

1.5k citations
39 papers · 693 · h-index 16

Impact in

Papers in

F. Mayall

38 papers receiving 660 citations

Peers

F. Mayall
Comparison fields: 5 of 67
  • Pulmonary and Respiratory Medicine 363
  • Pathology and Forensic Medicine 142
  • Obstetrics and Gynecology 61
  • Oncology 212
  • Cancer Research 80
Replace Angela De Paoli with:
Angela De Paoli Italy
Toshiaki Kamei Japan
Kiyozo Kishi Japan
Evelyn R. Banks United States
Kimiya Sato Japan
Gyeong Sin Park South Korea
Suk Jin Choi South Korea
Joseph F. Nasuti United States
G. Wiernik United Kingdom
Farnaz Hasteh United States
F. Mayall relative to Angela De Paoli Italy Angela De Paoli's profile →
Citations per field
00.5×1.6×
Angela De Paoli · 1×
Citations per year

Countries citing papers authored by F. Mayall

Since Specialization
Citations

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

Fields of papers citing papers by F. Mayall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199474
2 199262
3 199242
4 200341
5 199740
6 200036
7 199233
8 199931
9 200325
10 199922
11 199821
12 199720
13 201017
14 199417
15 199316
16 200215
17 199615
18 199815
19 199215
20 200014

About F. Mayall

F. Mayall is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine, Dermatology and Surgery, having authored 39 papers that have together received 693 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (11 papers), Medical Imaging and Pathology Studies (4 papers), AI in cancer detection (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Cancer Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (363 citations), Pathology and Forensic Medicine (142 citations), Obstetrics and Gynecology (61 citations), Oncology (212 citations) and Cancer Research (80 citations). F. Mayall has collaborated with scholars based in United Kingdom and New Zealand. Frequent co-authors include A R Gibbs, A. R. Gibbs, Brent A. Chang, Fiona Campbell, Gregory M. Jacobson, B J Harrison, R W Blewitt, Joy Hickman, A Heryet and Michael Dray. Their work appears in journals such as Journal of Clinical Pathology, Cytopathology, Histopathology, The Journal of Pathology and The Journal of Laryngology & Otology.

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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