Nathan Cho

1.7k citations
25 papers · 561 indexed · h-index 13

Impact in

Papers in

    • Phytochemical Studies and Bioactivities 3
    • Cellular Mechanics and Interactions 5
    • Microtubule and mitosis dynamics 4

Nathan Cho

22 papers receiving 549 citations

Peers

Nathan Cho
Comparison fields: 5 of 91
  • Biophysics 121
  • Structural Biology 22
  • Radiation 40
  • Biomedical Engineering 173
  • Molecular Biology 271
Replace Tomáš Vičar with:
Tomáš Vičar Czechia
Matthias Rieckher Germany
Cheng Bi China
Chenfei Hu United States
Hongcheng Mai China
Vladimir Ermolayev Germany
Jianyu Yang China
H. Kaplan France
Jervis Vermal Thevathasan Germany
Yuduo Guo China
Nathan Cho relative to Tomáš Vičar Czechia Tomáš Vičar's profile →
Citations per field
00.5×5.5×
Tomáš Vičar · 1×
Citations per year

Countries citing papers authored by Nathan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 201998
3 201853
4 202052
5 201743
6 202123
7 201721
8 201818
9 202017
10 201817
11 202416
12 201015
13 201912
14 202111
15 20129
16 20209
17 20145
18 20224
19 20223
20 20241

About Nathan Cho

Nathan Cho is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 561 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Microtubule and mitosis dynamics (4 papers), Advanced Radiotherapy Techniques (4 papers), Neuroscience and Neural Engineering (3 papers), 3D Printing in Biomedical Research (3 papers), Phytochemical Studies and Bioactivities (3 papers) and Radiation Therapy and Dosimetry (3 papers). The work is most often cited by research in Biophysics (121 citations), Structural Biology (22 citations), Radiation (40 citations), Biomedical Engineering (173 citations) and Molecular Biology (271 citations). Nathan Cho has collaborated with scholars based in United States, South Korea and Vietnam. Frequent co-authors include Megan L. McCain, Davi M. Lyra‐Leite, Jay D. Keasling, Christopher J. Petzold, Manuel D. Leonetti, Eun‐Mi Kim, Qijun Hu, Héctor García Martín, Tanveer S. Batth and Taek Soon Lee. Their work appears in journals such as Integrative Biology, eLife, The Journal of Cell Biology, Nature Methods and Medical Physics.

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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