Nicholas May

38 papers receiving 451 citations

Peers

Nicholas May
Comparison fields: 5 of 94
  • Infectious Diseases 233
  • Virology 40
  • Public Health, Environmental and Occupational Health 230
  • Immunology 65
  • Computational Mechanics 52
Replace Yuelong Li with:
Yuelong Li China
Md Alamgir Kabir United States
Márcio Yamamoto Brazil
Ali Saâd Saudi Arabia
Eric Boyer France
Mariana De Niz Switzerland
Hiroyuki Mori Japan
T A Summers United States
Jay Gerlach United States
Jeffrey M. Jordan United States
Nicholas May relative to Yuelong Li China Yuelong Li's profile →
Citations per field
00.5×4.7×
Yuelong Li · 1×
Citations per year

Countries citing papers authored by Nicholas May

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201655
3 201936
4 201734
5 201732
6 201929
7 201826
8 201926
9 202121
10 202213
11 200913
12 202112
13 202210
14 201610
15 20229
16 20239
17 20249
18 20218
19 20237
20 20227

About Nicholas May

Nicholas May is a scholar working on Electrical and Electronic Engineering, Public Health, Environmental and Occupational Health, Infectious Diseases, Computational Mechanics and Biomedical Engineering, having authored 41 papers that have together received 468 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers), Viral Infections and Vectors (7 papers), Laser Material Processing Techniques (6 papers), Viral Infections and Outbreaks Research (5 papers), Laser-induced spectroscopy and plasma (4 papers), Advanced Surface Polishing Techniques (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Infectious Diseases (233 citations), Virology (40 citations), Public Health, Environmental and Occupational Health (230 citations), Immunology (65 citations) and Computational Mechanics (52 citations). Nicholas May has collaborated with scholars based in United States, Estonia and Australia. Frequent co-authors include Thomas E. Morrison, Sina Shahbazmohamadi, Alison W. Ashbrook, Bennett Davenport, Mary K. McCarthy, Terence S. Dermody, Laurie A. Silva, David W. Hawman, Julie M. Fox and Stephanie A. Montgomery. Their work appears in journals such as Microelectronics Reliability, Microscopy and Microanalysis, Scientific Reports, PLoS Pathogens and mBio.

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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