John Lee

2.0k citations
47 papers · 1.5k · h-index 26

Impact in

Papers in

John Lee

47 papers receiving 1.4k citations

Peers

John Lee
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 746
  • Biophysics 159
  • Molecular Biology 1.2k
  • Cell Biology 107
  • Biomedical Engineering 290
Replace Mark P. Krebs with:
Mark P. Krebs United States
Brigitte F. Schmidt United States
Carole Gauron France
Jesse E. Sisken United States
Daniele Dell’Orco Italy
Atsushi Miyawaki Japan
Michael Salomon Germany
Sven Hennig Netherlands
Bethe A. Scalettar United States
Deborah A. Roess United States
John Lee relative to Mark P. Krebs United States Mark P. Krebs's profile →
Citations per field
00.5×3.0×
Mark P. Krebs · 1×
Citations per year

Countries citing papers authored by John Lee

Since Specialization
Citations

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

Fields of papers citing papers by John Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Lee. 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 John Lee. The network helps show where John Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000135
2 200779
3 200579
4 200570
5 200767
6 197056
7 200354
8 200452
9 197250
10 201047
11 198547
12 198645
13 200143
14 198734
15 198033
16 197631
17 200531
18 201630
19 200930
20 201329

About John Lee

John Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Genetics and Biophysics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (38 papers), Photoreceptor and optogenetics research (23 papers), Biosensors and Analytical Detection (6 papers), Bacterial Genetics and Biotechnology (5 papers), Biotin and Related Studies (4 papers), Neurobiology and Insect Physiology Research (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (746 citations), Biophysics (159 citations), Molecular Biology (1.2k citations), Cell Biology (107 citations) and Biomedical Engineering (290 citations). John Lee has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Eugene S. Vysotski, Dennis J. O’Kane, Svetlana V. Markova, John P. Rose, Antonie J. W. G. Visser, Bi‐Cheng Wang, Zhi‐Jie Liu, Lu Deng, John M. Graham and Zhi‐Jie Liu. Their work appears in journals such as Biochemistry, Photochemistry and Photobiology, Biochemical and Biophysical Research Communications, Protein Science and Journal of Biological Chemistry.

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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