Kyle R. Gee

6.0k citations
86 papers · 5.0k indexed · h-index 37

Kyle R. Gee

85 papers receiving 4.8k citations

Peers

Kyle R. Gee
Comparison fields: 5 of 140
  • Physiology 307
  • Spectroscopy 875
  • Molecular Medicine 201
  • Nutrition and Dietetics 591
  • Cellular and Molecular Neuroscience 687
Replace Juan C. Gómez‐Fernández with:
Juan C. Gómez‐Fernández Spain
Raimund Dutzler Switzerland
Roger E. Koeppe United States
Shigeki Kiyonaka Japan
Yasutaka Anraku Japan
Akira Ikegami Japan
Naoki Kamo Japan
Lisa Ellerby United States
Philip L. Yèagle 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-authorship network

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
#Work
1 20134
2 2012291
3 201148
4 200936
5 200436
6 200420
7 200428
8 2003308
9 200223
10 2001123
11 200080
12 200039
13 200063
14 200023
15 1999146
16 1998163
17 199815
18 199811
19 199621
20 199546

About Kyle R. Gee

Kyle R. Gee is a scholar working on Physiology, Bioengineering, Spectroscopy, Cellular and Molecular Neuroscience and Molecular Medicine, 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), bioluminescence and chemiluminescence research (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Physiology (307 citations), Spectroscopy (875 citations), Molecular Medicine (201 citations), Nutrition and Dietetics (591 citations) and Cellular and Molecular Neuroscience (687 citations). Kyle R. Gee has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Richard P. Haugland, Wei‐Chuan Sun, Robert T. Kennedy, Weijun Qian, Zhang‐Lin Zhou, Dieter H. Klaubert, Scott T. Clarke, John H. Weiss, Stefano L. Sensi and Brian Agnew. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, The Journal of Organic 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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