Barbara May

27 papers receiving 1.0k citations

Peers

Barbara May
Comparison fields: 5 of 104
  • Microbiology 317
  • Small Animals 90
  • Infectious Diseases 212
  • Epidemiology 388
  • Virology 51
Replace Norihisa Goto with:
Norihisa Goto Japan
Lenka Levá Czechia
Eiichi Momotani Japan
F. Schelcher France
Mary M. Weber United States
Ronald W. Scamurra United States
A. Corradi Italy
Rendong Fang China
Rachel Pilla United States
Claudio S.L. Barros Brazil
Barbara May relative to Norihisa Goto Japan Norihisa Goto's profile →
Citations per field
00.5×2.5×
Norihisa Goto · 1×
Citations per year

Countries citing papers authored by Barbara May

Since Specialization
Citations

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

Fields of papers citing papers by Barbara May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara 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 Barbara May Line = papers co-authored together Barbara May 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 2005360
2 2001284
3 200587
4 200180
5 200577
6 200227
7 201025
8 200221
9 201614
10 196211
11 202111
12 20129
13 20225
14 20225
15 20164
16 20173
17 20133
18
Calculation of Muscle Loading and Joint Contact Forces in Irish Dance
20103
19
Visualisation of Dance Performance using 3-Dimensional Motion Tracking and Muscle Modelling Techniques
20122
20 20172

About Barbara May

Barbara May is a scholar working on Surgery, Pharmacology, Biomedical Engineering, Pathology and Forensic Medicine and Epidemiology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (5 papers), Diversity and Impact of Dance (4 papers), Microbial infections and disease research (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Bacteriophages and microbial interactions (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Muscle activation and electromyography studies (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (317 citations), Small Animals (90 citations), Infectious Diseases (212 citations), Epidemiology (388 citations) and Virology (51 citations). Barbara May has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Vivek Kapur, Qing Zhang, Michael L. Paustian, Lin Li, Thomas S. Whittam, Sagarika Kanjilal, Alongkorn Amonsin, John P. Bannantine, Nilanjana Banerji and Lingling Li. Their work appears in journals such as Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Injury and Infection and Immunity.

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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