PM Taylor

1.8k citations
27 papers · 1.4k · 1 hit paper · h-index 10

Impact in

Papers in

PM Taylor

25 papers receiving 1.3k citations

PM Taylor's Hit Papers

The Mammographic Image Analysis Society digital mammogram database 1994 · 998 citations
9980+10+21Years since publication250500750

Peers

PM Taylor
Comparison fields: 5 of 107
  • Equine 76
  • Computer Vision and Pattern Recognition 635
  • Artificial Intelligence 899
  • Radiology, Nuclear Medicine and Imaging 378
  • Neurology 76
Replace Keerthana Prasad with:
Keerthana Prasad India
Ming Liang China
Ruixuan Wang China
Meng Yang China
Xiyao Liu China
Naeem Ullah Pakistan
Dev Kumar Das India
Xiaoran Zhang China
Muhammad Attique Khan Saudi Arabia
PM Taylor relative to Keerthana Prasad India Keerthana Prasad's profile →
Citations per field
00.5×1.5×2.1×
Keerthana Prasad · 1×
Citations per year

Countries citing papers authored by PM Taylor

Since Specialization
Citations

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

Fields of papers citing papers by PM Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Mammographic Image Analysis Society digital mammogram database
Hit paper breakdown →
1994998
2 201088
3 200087
4 200549
5 198444
6 196721
7 199419
8 200319
9
Hormone profile in lepromatous leprosy. A preliminary study.
198112
10 200310
11
The significance of changes in the nasal mucosa in indeterminate, tuberculoid and borderline leprosy.
197910
12 19988
13 19945
14
Electromicroscopic study of histoid leprosy with special reference to its histogenesis.
19775
15 19645
16 19695
17 19764
18 19734
19 20093
20 20082

About PM Taylor

PM Taylor is a scholar working on Equine, Infectious Diseases, Emergency Medicine, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Leprosy Research and Treatment (5 papers), Veterinary Equine Medical Research (3 papers), Mycobacterium research and diagnosis (3 papers), Neonatal Respiratory Health Research (3 papers), Radiology practices and education (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Equine (76 citations), Computer Vision and Pattern Recognition (635 citations), Artificial Intelligence (899 citations), Radiology, Nuclear Medicine and Imaging (378 citations) and Neurology (76 citations). PM Taylor has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Caroline R. M. Boggis, I. Hutt, John Suckling, Emmanuel Andreas Stamatakis, James Parker, Ian W. Ricketts, Susan Astley, Dibendu Betal, Nick Cerneaz and HENRY W.W. POTTS. Their work appears in journals such as American Journal of Physiology-Legacy Content, Breast Cancer Research, Leprosy Review, Veterinary Record and Journal of Applied Physiology.

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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