Christopher T. Lee

4.1k citations
46 papers · 2.9k indexed · 1 hit paper · h-index 20

Christopher T. Lee

45 papers receiving 2.9k citations

Hit Papers

A Mitochondria-K+ Channel Axis Is Suppressed in Cancer an...1.2k20072026201320194008001.2k

Peers

Christopher T. Lee
Comparison fields: 5 of 167
  • Cancer Research 720
  • Molecular Biology 1.9k
  • Biochemistry 111
  • Cell Biology 237
  • Cellular and Molecular Neuroscience 197
Replace Eran Eyal with:
Eran Eyal Israel
Elena Papaleo Denmark
Jeffrey H. Chuang United States
Michael Blaber United States
Prakash Kulkarni United States
Ran Kafri United States
Takamitsu Hosoya Japan
Stephen A. Ramsey United States
Hiroyuki Kimura Japan
Christine Lee United States
Christopher T. Lee relative to Eran Eyal Israel Eran Eyal's profile →
Citations per field
00.5×1.5×1.9×
Eran Eyal · 1×
Citations per year

Countries citing papers authored by Christopher T. Lee

Since Specialization
Citations

This map shows the geographic impact of Christopher T. 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 Christopher T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Lee more than expected).

Fields of papers citing papers by Christopher T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202411
3 20243
4 20241
5 20232
6 202324
7 20233
8 202323
9 202330
10 20225
11 20224
12 202210
13 202212
14 20221
15 202114
16 20211
17 20218
18 20192
19 201916
20 2005498

About Christopher T. Lee

Christopher T. Lee is a scholar working on Health Informatics, Biophysics and Cell Biology, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Protein Structure and Dynamics (6 papers), Force Microscopy Techniques and Applications (5 papers), Mitochondrial Function and Pathology (5 papers), Cellular Mechanics and Interactions (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Cancer Research (720 citations), Molecular Biology (1.9k citations) and Biochemistry (111 citations). Christopher T. Lee has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Rommie E. Amaro, Sophia Y. Tsai, Francesco J. DeMayo, Ming‐Jer Tsai, Fu‐Jung Lin, Li‐Ru You, Alois Haromy, Sandra Breuils Bonnet, Lakshmi Puttagunta and Christian Beaulieu. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cell Reports.

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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