Alison Davis

73 papers receiving 2.1k citations

Peers

Alison Davis
Comparison fields: 5 of 127
  • Sensory Systems 104
  • Endocrinology 82
  • Molecular Biology 1.1k
  • Cardiology and Cardiovascular Medicine 305
  • Reproductive Medicine 98
Replace Christie P. Thomas with:
Christie P. Thomas United States
Jong Rak Choi South Korea
Tetsuo Kubota Japan
Renate Hellmiss United States
Alois Palmetshofer Germany
Paolo Fruscella Italy
Jae Jin Chae United States
Nadia A. Ameen United States
Guixiu Shi China
Ronald A. Booth Canada
Alison Davis relative to Christie P. Thomas United States Christie P. Thomas's profile →
Citations per field
00.5×4.3×
Christie P. Thomas · 1×
Citations per year

Countries citing papers authored by Alison Davis

Since Specialization
Citations

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

Fields of papers citing papers by Alison Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 2000118
3 2010108
4 2010105
5 2012102
6 201295
7 199792
8 201284
9 200381
10 200074
11 201369
12 199661
13 199860
14 199358
15 200656
16 201956
17 201055
18 201054
19 199146
20 201244

About Alison Davis

Alison Davis is a scholar working on Molecular Biology, Genetics, Oncology, Reproductive Medicine and Cancer Research, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Ion channel regulation and function (7 papers), Breast Cancer Treatment Studies (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Mitochondrial Function and Pathology (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Sensory Systems (104 citations), Endocrinology (82 citations), Molecular Biology (1.1k citations), Cardiology and Cardiovascular Medicine (305 citations) and Reproductive Medicine (98 citations). Alison Davis has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Iain A. Greenwood, Ian F. Tannock, Thomas A. Jepps, Joan Mecsas, Robert E. Jensen, Preet S. Chadha, Normand Leblanc, Debra J. Gawler, John K. Cowell and Søren‐Peter Olesen. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Pharmacology, American Journal of Physiology-Cell Physiology, Blood and Journal of Bacteriology.

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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