Janet E. Alexander

1.6k citations
28 papers · 1.2k indexed · h-index 14

Janet E. Alexander

26 papers receiving 1.2k citations

Peers

Janet E. Alexander
Comparison fields: 5 of 112
  • Microbiology 226
  • Epidemiology 640
  • Infectious Diseases 217
  • Cell Biology 141
  • Small Animals 59
Replace Dezső P. Virók with:
Dezső P. Virók Hungary
Harald Husebye Norway
Pedro Escoll France
Patricia Ayala United States
G. L. Mandell United States
Ludovic Huot France
Haralabia Boleti Greece
Dieter Demon Belgium
Jennifer C. Chang United States
Andreas Popp Germany
Janet E. Alexander relative to Dezső P. Virók Hungary Dezső P. Virók's profile →
Citations per field
00.5×4.5×
Dezső P. Virók · 1×
Citations per year

Countries citing papers authored by Janet E. Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. Alexander. 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 Janet E. Alexander. The network helps show where Janet E. Alexander may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20226
4 20222
5 20218
6 20218
7 20188
8 201832
9 20184
10 20174
11 20175
12 201748
13 20149
14 200322
15 2003146
16 19996
17 199738
18 199682
19 199581
20 199015

About Janet E. Alexander

Janet E. Alexander is a scholar working on Equine, Small Animals, Microbiology, Nephrology and Epidemiology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Veterinary Medicine and Surgery (8 papers), Pneumonia and Respiratory Infections (8 papers), Bacterial Infections and Vaccines (4 papers), Tuberculosis Research and Epidemiology (3 papers), Parathyroid Disorders and Treatments (3 papers), Mycobacterium research and diagnosis (3 papers), Veterinary Equine Medical Research (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Microbiology (226 citations), Epidemiology (640 citations), Infectious Diseases (217 citations), Cell Biology (141 citations) and Small Animals (59 citations). Janet E. Alexander has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter W. Andrew, Timothy J. Mitchell, James C. Paton, David Hansman, Neill A. Gingles, Aras Kadioglu, Anne M. Berry, William C. Miller, David J. Weber and Olga L. Sarmiento. Their work appears in journals such as Infection and Immunity, British Journal Of Nutrition, Journal of Nutritional Science, Frontiers in Veterinary Science and Microbial Pathogenesis.

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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