Jay E. Gee

4.7k citations
74 papers · 2.7k indexed · 1 hit paper · h-index 28
Topics
Burkholderia infections and melioidosis (44 papers)Bacillus and Francisella bacterial research (17 papers)Chemical Looping and Thermochemical Processes (15 papers)

In The Last Decade

Jay E. Gee

72 papers receiving 2.6k citations

Hit Papers

Detection of pathogenic Leptospira spp. through TaqMan po...20092026201420202009100200300400

Peers

Jay E. Gee
Comparison fields: 5 of 112
  • Epidemiology 1.3k
  • Molecular Biology 766
  • Small Animals 509
  • Parasitology 433
  • Biomedical Engineering 349
Replace Natalia S. Akopyants with:
Natalia S. Akopyants United States
Neil F. Inglis United Kingdom
Surasakdi Wongratanacheewin Thailand
Peter Willemsen Netherlands
Rasana W. Sermswan Thailand
Si‐Yang Huang China
Giuseppe Iovane Italy
Erin P. Price Australia
Mary N. Burtnick United States
Vincent Weynants Belgium
Jay E. Gee relative to Natalia S. Akopyants United States Natalia S. Akopyants's profile →
Citations per field
00.5×10×20×30×43.6×
Natalia S. Akopyants · 1×
Citations per year

Countries citing papers authored by Jay E. Gee

Since Specialization
Citations

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

Fields of papers citing papers by Jay E. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay E. Gee

This figure shows the co-authorship network connecting the top 25 collaborators of Jay E. Gee. A scholar is included among the top collaborators of Jay E. Gee 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 Jay E. Gee. Jay E. Gee 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 4
2 1
3 4
4 9
5 41
6 55
7 20
8 9
9 22
10 19
11 82
12 20
13 23
14 60
15 42
16 28
17 27
18 6
19 44
20 19

About Jay E. Gee

Jay E. Gee is a scholar working on Epidemiology, Small Animals and Endocrinology, having authored 74 papers that have together received 2.7k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (44 papers), Bacillus and Francisella bacterial research (17 papers) and Chemical Looping and Thermochemical Processes (15 papers). The work is most often cited by research in Small Animals (509 citations), Parasitology (433 citations) and Epidemiology (1.3k citations). Jay E. Gee has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Alex R. Hoffmaster, Patricia P. Wilkins, Karen A. McCaustland, Robyn A. Stoddard, Mindy B. Glass, Barun K. De, Ryan T. Novak, Tanja Popović, Mindy G. Elrod and Chung K. Marston. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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