Wayne D. Lancaster

4.7k citations
77 papers · 3.6k indexed · h-index 37

Impact in

Papers in

Wayne D. Lancaster

76 papers receiving 3.4k citations

Peers

Wayne D. Lancaster
Comparison fields: 5 of 114
  • Epidemiology 2.0k
  • Otorhinolaryngology 185
  • Microbiology 204
  • Neurology 232
  • Cancer Research 364
Replace Carole Yee with:
Carole Yee United States
Annarosa Del Mistro Italy
Sheila V. Graham United Kingdom
C J Meijer Netherlands
Michel Fãvre France
Dennis J. McCance United Kingdom
Mina Kalantari United States
Margaret E. McLaughlin-Drubin United States
Ramon L. Font United States
Kei Fujinaga Japan
Wayne D. Lancaster relative to Carole Yee United States Carole Yee's profile →
Citations per field
00.5×11.6×
Carole Yee · 1×
Citations per year

Countries citing papers authored by Wayne D. Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by Wayne D. Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne D. Lancaster. 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 Wayne D. Lancaster. The network helps show where Wayne D. Lancaster may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2013100
2 201128
3 200845
4 200310
5 200047
6 199850
7 1998106
8 199823
9 199490
10 199016
11 198948
12 1988158
13 1988116
14 19875
15 198517
16 198514
17 198336
18 198327
19 198378
20 19819

About Wayne D. Lancaster

Wayne D. Lancaster is a scholar working on Epidemiology, Microbiology, Otorhinolaryngology, Animal Science and Zoology and Agronomy and Crop Science, having authored 77 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (43 papers), Virus-based gene therapy research (10 papers), Cancer-related Molecular Pathways (7 papers), Molecular Biology Techniques and Applications (7 papers), Animal Virus Infections Studies (6 papers), Genital Health and Disease (5 papers), Microbial infections and disease research (4 papers) and Veterinary Oncology Research (4 papers). The work is most often cited by research in Epidemiology (2.0k citations), Otorhinolaryngology (185 citations), Microbiology (204 citations), Neurology (232 citations) and Cancer Research (364 citations). Wayne D. Lancaster has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Robert J. Kurman, Lucie Grégoire, A. Bennett Jenson, A. Bennett Jenson, Carl Olson, Attila T. Lörincz, Gary F. Temple, John P. Sundberg, Randall E. Junge and Bennett Jenson. Their work appears in journals such as Virology, American Journal of Obstetrics and Gynecology, Journal of the American Veterinary Medical Association, Cancer and The Journal of Urology.

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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