P. Laidler

26 papers receiving 1.1k citations

Peers

P. Laidler
Comparison fields: 5 of 73
  • Immunology and Allergy 124
  • Endocrine and Autonomic Systems 109
  • Cancer Research 217
  • Dermatology 113
  • Oncology 321
Replace Meera Subramaniam with:
Meera Subramaniam United States
Luigia Macrì Italy
Nadia Carboni Italy
Keiko Funa Sweden
Ken‐ichi Iyama Japan
Chieki Wada Japan
Mark Maurer United States
Samantha J. Busfield Australia
Holger Nückel Germany
Maria H. Ulvmar Sweden
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Citations per field
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Meera Subramaniam · 1×
Citations per year

Countries citing papers authored by P. Laidler

Since Specialization
Citations

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

Fields of papers citing papers by P. Laidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The prognostic significance of tumor vascularity in intermediate-thickness (0.76-4.0 mm thick) skin melanoma. A quantitative histologic study.
1988451
2 1986122
3 2006113
4 198960
5 197559
6 198836
7 199730
8 197829
9 200529
10
The effect of chronic hypoxia on the number and nuclear diameter of type I cells in the carotid bodies of rats.
197526
11 198522
12 197722
13 200321
14 200219
15 200515
16
Can late recurrence of melanoma be predicted at the time of primary treatment.
198613
17 199312
18 198411
19 197811
20 199510

About P. Laidler

P. Laidler is a scholar working on Oncology, Surgery, Molecular Biology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), Optical Coherence Tomography Applications (4 papers), Neuroscience of respiration and sleep (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), High Altitude and Hypoxia (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (124 citations), Endocrine and Autonomic Systems (109 citations), Cancer Research (217 citations), Dermatology (113 citations) and Oncology (321 citations). P. Laidler has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Anurag Srivastava, L E Hughes, Kieran Horgan, J. M. Kày, J.P. Woodcock, Patricia Price, Richard Motley, Girish K. Patel, A.Y. Finlay and H R Harach. Their work appears in journals such as British Journal of Dermatology, The Journal of Pathology, Human Pathology, British Journal of Cancer and Journal of the European Academy of Dermatology and Venereology.

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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