Jay E. Gee

88 papers receiving 3.6k citations

Jay E. Gee's Hit Papers

Detection of pathogenic Leptospira spp. through TaqMan polymerase chain reaction targeting the LipL32 gene 2009 · 457 citations
4570+5+11Years since publication100200300400

Peers

Jay E. Gee
Comparison fields: 5 of 124
  • Small Animals 591
  • Parasitology 474
  • Epidemiology 2.0k
  • Endocrinology 129
  • Molecular Medicine 103
Replace Patricia P. Wilkins with:
Patricia P. Wilkins United States
Erin P. Price Australia
Mary N. Burtnick United States
Mark J. Mayo Australia
Inna Cherevach United Kingdom
Thomas J. Inzana United States
Timothy P. Atkins United Kingdom
Timothy Driscoll United States
Zahra Hance United Kingdom
Olga Francino Spain
Jay E. Gee relative to Patricia P. Wilkins United States Patricia P. Wilkins's profile →
Citations per field
00.5×2×2.6×
Patricia P. Wilkins · 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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection of pathogenic Leptospira spp. through TaqMan polymerase chain reaction targeting the LipL32 gene
Hit paper breakdown →
2009457
2 2006221
3 2006188
4 2012159
5 2009158
6 2015137
7 2008131
8 2003123
9 2012114
10 2006110
11 201097
12 200496
13 200789
14 201088
15 201677
16 199371
17 200868
18 200666
19 201565
20 201461

About Jay E. Gee

Jay E. Gee is a scholar working on Epidemiology, Small Animals, Biotechnology, Biomedical Engineering and Molecular Biology, having authored 89 papers that have together received 3.8k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (54 papers), Bacillus and Francisella bacterial research (20 papers), Chemical Looping and Thermochemical Processes (19 papers), Bacteriophages and microbial interactions (10 papers), Microbial Inactivation Methods (7 papers), Brucella: diagnosis, epidemiology, treatment (7 papers), Bacterial Genetics and Biotechnology (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Small Animals (591 citations), Parasitology (474 citations), Epidemiology (2.0k citations), Endocrinology (129 citations) and Molecular Medicine (103 citations). Jay E. Gee has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Alex R. Hoffmaster, Patricia P. Wilkins, Karen A. McCaustland, Robyn A. Stoddard, Mindy B. Glass, BARUN KUMAR DE, Ryan T. Novak, Tanja Popović, Mindy G. Elrod and Bart J. Currie. Their work appears in journals such as Emerging infectious diseases, Journal of Clinical Microbiology, American Journal of Tropical Medicine and Hygiene, Pathogens and PLoS ONE.

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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