Amy L. Davidow

3.4k citations
70 papers · 1.9k indexed · h-index 24
Topics
Tuberculosis Research and Epidemiology (25 papers)Mycobacterium research and diagnosis (14 papers)Pneumocystis jirovecii pneumonia detection and treatment (7 papers)

In The Last Decade

Amy L. Davidow

69 papers receiving 1.9k citations

Peers

Amy L. Davidow
Comparison fields: 5 of 141
  • Infectious Diseases 855
  • Epidemiology 767
  • Molecular Biology 357
  • Surgery 352
  • Immunology 151
Replace Mary S. Hayney with:
Mary S. Hayney United States
Steve Shaw United Kingdom
Jing Xu China
Masahiro Satake Japan
Min Deng China
Michelle Giles Australia
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R. M. Pandey India
Michelle E. Kruijshaar Netherlands
Amy L. Davidow relative to Mary S. Hayney United States Mary S. Hayney's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amy L. Davidow

Since Specialization
Citations

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

Fields of papers citing papers by Amy L. Davidow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy L. Davidow. 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 Amy L. Davidow. The network helps show where Amy L. Davidow may publish in the future.

Co-authorship network of co-authors of Amy L. Davidow

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Davidow. A scholar is included among the top collaborators of Amy L. Davidow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy L. Davidow. Amy L. Davidow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 4
4 13
5 1
6 24
7 3
8 10
9 29
10 82
11 52
12 3
13 91
14 56
15
Student counselling and development services in higher education institutions in South Africa
11
16 29
17 1
18 63
19 12
20 4

About Amy L. Davidow

Amy L. Davidow is a scholar working on Infectious Diseases, Virology and Emergency Medical Services, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (14 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). The work is most often cited by research in Infectious Diseases (855 citations), Epidemiology (767 citations) and Rehabilitation (85 citations). Amy L. Davidow has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Maria Laura Gennaro, Stanley Bonk, Neil W. Schluger, Mark D. Perkins, Lee Geng, Harumi Jyonouchi, Philip L. Felgner, Hugh Salamon, Gerd Michel and Shajo Kunnath-Velayudhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Immunology.

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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