Nikki May

7 papers receiving 41 citations

Peers

Nikki May
Comparison fields: 5 of 40
  • Health Informatics 4
  • Medical Laboratory Technology 2
  • Statistics, Probability and Uncertainty 9
  • Microbiology 5
  • General Health Professions 14
Replace Shayan Nabavi Nouri with:
Shayan Nabavi Nouri United States
Clara P. Domínguez Islas United States
Aime Keis Estonia
Emily Hadley United States
Jonathan D. Shaffer United States
Rosa Stalteri Canada
Virginia Pannabecker United States
Dyuti Coomar United Kingdom
Matthew J. Chiovitti Canada
Christopher J. Sidey-Gibbons United States
Nikki May relative to Shayan Nabavi Nouri United States Shayan Nabavi Nouri's profile →
Citations per field
00.5×3.5×
Shayan Nabavi Nouri · 1×
Citations per year

Countries citing papers authored by Nikki May

Since Specialization
Citations

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

Fields of papers citing papers by Nikki May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201821
2
The Polyglot Search Translator (PST): Evaluation of a tool for improving searching in systematic reviews: A randomised cross-over trial
20186
3 20205
4 20204
5 20183
6 20211
7 20191
8 20180

About Nikki May

Nikki May is a scholar working on General Health Professions, Epidemiology, Microbiology, Statistics, Probability and Uncertainty and Molecular Biology, having authored 8 papers that have together received 41 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (2 papers), Meta-analysis and systematic reviews (2 papers), Bacterial Infections and Vaccines (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Obesity and Health Practices (1 paper), Health Sciences Research and Education (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Economic and Financial Impacts of Cancer (1 paper). The work is most often cited by research in Health Informatics (4 citations), Medical Laboratory Technology (2 citations), Statistics, Probability and Uncertainty (9 citations), Microbiology (5 citations) and General Health Professions (14 citations). Nikki May has collaborated with scholars based in Australia and Germany. Frequent co-authors include Raechel Damarell, Sue Hammond, Ruth Sladek, Jennifer Tieman, J. Pearce, Cindy Hein, Robyn Clark, Eimear Muir‐Cochrane, Sandra Walsh and Martin Jones. Their work appears in journals such as BMJ Open, JBI Evidence Synthesis, Australasian Journal of Paramedicine, Health Information & Libraries Journal and The JBI Database of Systematic Reviews and Implementation Reports.

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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