Kyle R. Gee

85 papers receiving 4.9k citations

Peers

Kyle R. Gee
Comparison fields: 5 of 140
  • Physiology 304
  • Spectroscopy 873
  • Molecular Medicine 194
  • Nutrition and Dietetics 585
  • Cellular and Molecular Neuroscience 680
Replace Juan C. Gómez‐Fernández with:
Juan C. Gómez‐Fernández Spain
Jeff Abramson United States
Raimund Dutzler Switzerland
Roger E. Koeppe United States
Shigeki Kiyonaka Japan
Yasutaka Anraku Japan
Akira Ikegami Japan
Naoki Kamo Japan
Amy E. Palmer United States
Winfried Haase Germany
Kyle R. Gee relative to Juan C. Gómez‐Fernández Spain Juan C. Gómez‐Fernández's profile →
Citations per field
00.5×3.2×
Juan C. Gómez‐Fernández · 1×
Citations per year

Countries citing papers authored by Kyle R. Gee

Since Specialization
Citations

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

Fields of papers citing papers by Kyle R. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003358
2 2002353
3 2003308
4 2012293
5 1999251
6 1997248
7 2008217
8 1998162
9 1996152
10 1999146
11 1997136
12 2001123
13 2003119
14 2003114
15 200385
16 200080
17 201378
18 200075
19 199766
20 200063

About Kyle R. Gee

Kyle R. Gee is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Spectroscopy and Cellular and Molecular Neuroscience, having authored 86 papers that have together received 5.0k indexed citations. Recurring topics across this work include Photochromic and Fluorescence Chemistry (14 papers), Molecular Sensors and Ion Detection (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Photoreceptor and optogenetics research (10 papers), Click Chemistry and Applications (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and bioluminescence and chemiluminescence research (7 papers). The work is most often cited by research in Physiology (304 citations), Spectroscopy (873 citations), Molecular Medicine (194 citations), Nutrition and Dietetics (585 citations) and Cellular and Molecular Neuroscience (680 citations). Kyle R. Gee has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Richard P. Haugland, Wei‐Chuan Sun, Weijun Qian, Robert T. Kennedy, Zhang‐Lin Zhou, Dieter H. Klaubert, Scott T. Clarke, Stefano L. Sensi, John H. Weiss and Brian Agnew. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Journal of Biological Chemistry, Photochemistry and Photobiology and Analytical Biochemistry.

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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