Allison M. Bailey

19 papers receiving 2.4k citations

Allison M. Bailey's Hit Papers

Gene Set Knowledge Discovery with Enrichr 2021 · 2.2k citations
2.2k0+1+3Years since publication50010001.5k2.0k

Peers

Allison M. Bailey
Comparison fields: 5 of 129
  • Cancer Research 270
  • Immunology 328
  • Parasitology 100
  • Molecular Biology 1.0k
  • Neurology 100
Replace Jian‐Ming Li with:
Jian‐Ming Li China
Nami McCarty United States
Mirosława Pietruczuk Poland
Tobias K. Dallenga Germany
Phillip T. Newton Sweden
Diego Luis-Ravelo Spain
Long Cheng China
Krassimira O. Todorova Bulgaria
Soren Hayrabedyan Bulgaria
Stephanie Pei Tung Yiu United States
Allison M. Bailey relative to Jian‐Ming Li China Jian‐Ming Li's profile →
Citations per field
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Jian‐Ming Li · 1×
Citations per year

Countries citing papers authored by Allison M. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Allison M. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Gene Set Knowledge Discovery with Enrichr
Hit paper breakdown →
20212193
2 2021101
3 202056
4 200944
5 202216
6 200813
7 202111
8 19956
9 20096
10 20123
11 20243
12 20213
13 20202
14 20082
15
Real-Time Tele-ophthalmology in the Emergency Department
20192
16 20201
17 20071
18 20051
19 20231
20 20250

About Allison M. Bailey

Allison M. Bailey is a scholar working on Complementary and alternative medicine, Infectious Diseases, Anesthesiology and Pain Medicine, Parasitology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (3 papers), Viral Infections and Vectors (2 papers), Computational Drug Discovery Methods (2 papers), Mosquito-borne diseases and control (2 papers), Mental Health Treatment and Access (2 papers), Bioinformatics and Genomic Networks (2 papers), Vector-borne infectious diseases (2 papers) and Workplace Health and Well-being (2 papers). The work is most often cited by research in Cancer Research (270 citations), Immunology (328 citations), Parasitology (100 citations), Molecular Biology (1.0k citations) and Neurology (100 citations). Allison M. Bailey has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Avi Ma’ayan, John Erol Evangelista, Daniel J. B. Clarke, Maxim V. Kuleshov, Kathleen M. Jagodnik, Alexander Lachmann, Eryk Kropiwnicki, Megan L. Wojciechowicz, Sherry L. Jenkins and Zhuorui Xie. Their work appears in journals such as Current Protocols, Menopause The Journal of The North American Menopause Society, Frontiers in Medicine, Frontiers in Public Health and Investigative Ophthalmology & Visual Science.

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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