Jin Ku Cho

1.9k total citations
49 papers, 1.6k citations indexed

About

Jin Ku Cho is a scholar working on Biomedical Engineering, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Jin Ku Cho has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 19 papers in Organic Chemistry and 11 papers in Materials Chemistry. Recurrent topics in Jin Ku Cho's work include Catalysis for Biomass Conversion (21 papers), Biofuel production and bioconversion (9 papers) and Nanomaterials for catalytic reactions (6 papers). Jin Ku Cho is often cited by papers focused on Catalysis for Biomass Conversion (21 papers), Biofuel production and bioconversion (9 papers) and Nanomaterials for catalytic reactions (6 papers). Jin Ku Cho collaborates with scholars based in South Korea, United Kingdom and United States. Jin Ku Cho's co-authors include Seunghan Shin, Bora Kim, Sangyong Kim, Jaewon Jeong, Churchil A. Antonyraj, Yong Jin Kim, Dinesh Kumar Mishra, Mark Bradley, Kwan-Young Lee and Yoon‐Sik Lee and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Jin Ku Cho

49 papers receiving 1.6k citations

Peers

Jin Ku Cho
Comparison fields: 5 of 84
  • Biomedical Engineering 892
  • Organic Chemistry 586
  • Materials Chemistry 585
  • Mechanical Engineering 299
  • Electronic, Optical and Magnetic Materials 226
Replace Haijun Wang with:
Haijun Wang China
George Tsilomelekis United States
Davide Esposito Germany
Peter J. C. Hausoul Germany
Pingping Zhao China
Floryan De Campo France
Qiong Xu China
Yanhong Chang China
Zuojun Wei China
Konstantin I. Galkin Russia
Haijun Wang China View profile →
Citations per field, relative to Jin Ku Cho
Jin Ku Cho · 1×
Citations per year, relative to Jin Ku Cho
Jin Ku Cho · 1×

Countries citing papers authored by Jin Ku Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ku Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Ku Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ku Cho. A scholar is included among the top collaborators of Jin Ku Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Ku Cho. Jin Ku Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 30
2 12
3 60
4 12
5 18
6 51
7 2
8 7
9 37
10 3
11 54
12 57
13 10
14 97
15 46
16 41
17 43
18 117
19 10
20 19

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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