Mai A. Bailey

716 citations
19 papers · 548 · h-index 13

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 14
    • Cancer therapeutics and mechanisms 5
    • Phenothiazines and Benzothiazines Synthesis and Activities 3
    • Biochemical and Molecular Research 2

Mai A. Bailey

19 papers receiving 532 citations

Peers

Mai A. Bailey
Comparison fields: 5 of 62
  • Infectious Diseases 287
  • Molecular Medicine 44
  • Organic Chemistry 257
  • Epidemiology 147
  • Molecular Biology 261
Replace Torey Alling with:
Torey Alling United States
Michael Goodwin United States
O. B. Ryabova Russia
Stanislav Huszár Slovakia
Jiyoun Nam South Korea
Kenia Pissinate Brazil
Jan Madacki France
Chiranjibi Chhotaray China
Variam Ullas Jeankumar India
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Citations per field
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Citations per year

Countries citing papers authored by Mai A. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Mai A. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai A. Bailey. 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 Mai A. Bailey. The network helps show where Mai A. Bailey may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013140
2 201391
3 201651
4 201443
5 201534
6 201426
7 201625
8
Bioorganic & Medicinal Chemistry 22 (2014) 6965–6979
201424
9 201721
10 201918
11 201918
12 201415
13 201713
14 201510
15 20189
16 20225
17 20182
18
Synthesis and antituberculosis activity evaluation of cyclohexane-1,2-diamine derivatives
20142
19 20151

About Mai A. Bailey

Mai A. Bailey is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Organic Chemistry and Surgery, having authored 19 papers that have together received 548 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (9 papers), Synthesis and biological activity (6 papers), Cancer therapeutics and mechanisms (5 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers), Diagnosis and treatment of tuberculosis (3 papers), Biochemical and Molecular Research (2 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Infectious Diseases (287 citations), Molecular Medicine (44 citations), Organic Chemistry (257 citations), Epidemiology (147 citations) and Molecular Biology (261 citations). Mai A. Bailey has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Tanya Parish, Juliane Ollinger, Torey Alling, Garrett C. Moraski, Marvin J. Miller, Allen Casey, Philip A. Hipskind, Stephanie K. Florio, Jeffrey W. Cramer and Julie V. Early. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry, PeerJ, ACS Omega and ACS Infectious Diseases.

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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