Caroline May

2.8k citations
69 papers · 1.3k indexed · h-index 20

Impact in

    • Antimicrobial Peptides and Activities
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Advanced Proteomics Techniques and Applications 18
    • Mass Spectrometry Techniques and Applications 10
    • Parkinson's Disease Mechanisms and Treatments 6

Caroline May

66 papers receiving 1.3k citations

Peers

Caroline May
Comparison fields: 5 of 118
  • Microbiology 223
  • Neurology 245
  • Molecular Biology 671
  • Neurology 78
  • Spectroscopy 138
Replace Barbara Manconi with:
Barbara Manconi Italy
Federica Vincenzoni Italy
Florence Miller France
Kieran Wynne Ireland
Peter Seibel Germany
Masaharu Tanaka Japan
Luisa Pieroni Italy
Ping Chen China
Martin Weiß United States
Akula Bala Pramod United States
Caroline May relative to Barbara Manconi Italy Barbara Manconi's profile →
Citations per field
00.5×4.6×
Barbara Manconi · 1×
Citations per year

Countries citing papers authored by Caroline May

Since Specialization
Citations

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

Fields of papers citing papers by Caroline May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014280
2 201664
3 201450
4 201844
5 201342
6 197741
7 201339
8 201036
9 201634
10 201834
11 201433
12 201132
13 201528
14 201727
15 200827
16 201127
17 201526
18 201924
19 200721
20 201219

About Caroline May

Caroline May is a scholar working on Spectroscopy, Neurology, Neurology, Equine and Molecular Biology, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (10 papers), Neonatal Respiratory Health Research (8 papers), Glycosylation and Glycoproteins Research (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Alzheimer's disease research and treatments (4 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Microbiology (223 citations), Neurology (245 citations), Molecular Biology (671 citations), Neurology (78 citations) and Spectroscopy (138 citations). Caroline May has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Katrin Marcus, Helmut E. Meyer, Simone Steinbach, Martin Eisenacher, Ute Krämer, Alina Iulia Chiriac, Michaela Wenzel, Hans‐Georg Sahl, Frederic Brosseron and Suzana K. Straus. Their work appears in journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Neural Transmission, Journal of Proteome Research and PROTEOMICS.

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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