Peter N. Lee

275 papers receiving 7.9k citations

Peter N. Lee's Hit Papers

Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments. 1980 · 424 citations
4240+15+30Years since publication100200300400

Peers

Peter N. Lee
Comparison fields: 5 of 186
  • Physiology 2.8k
  • Aging 172
  • Cancer Research 878
  • Oncology 1k
  • Pulmonary and Respiratory Medicine 979
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Countries citing papers authored by Peter N. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Peter N. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter N. Lee. 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 Peter N. Lee. The network helps show where Peter N. Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 299 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007583
2
Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments.
Hit paper breakdown →
1980424
3 1975399
4 2011320
5 1991234
6 2008207
7 2012205
8 1992181
9 1994180
10 1993179
11 1986169
12 1982157
13 2009152
14 1999147
15 2009130
16
Statistical methods in cancer research. Volume III--The design and analysis of long-term animal experiments.
1986119
17 2002115
18 2001113
19 1974111
20 2010111

About Peter N. Lee

Peter N. Lee is a scholar working on Physiology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Statistics and Probability, having authored 299 papers that have together received 9.6k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (146 papers), Carcinogens and Genotoxicity Assessment (16 papers), Systemic Sclerosis and Related Diseases (12 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Occupational and environmental lung diseases (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Colorectal Cancer Surgical Treatments (8 papers) and Statistical Methods in Epidemiology (8 papers). The work is most often cited by research in Physiology (2.8k citations), Aging (172 citations), Cancer Research (878 citations), Oncology (1k citations) and Pulmonary and Respiratory Medicine (979 citations). Peter N. Lee has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Barbara A. Forey, Jan Hamling, Rolf Weitkunat, Alison J. Thornton, Richard Peto, Francis J. C. Roe, Mathias Ambühl, Kevin P. Timoney, Katharine Jane Coombs and Stanton A. Glantz. Their work appears in journals such as Regulatory Toxicology and Pharmacology, British Journal of Cancer, F1000Research, Inhalation Toxicology and BMC Cancer.

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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