Suk-In Hong

11 total papers · 506 total citations
11 papers, 429 citations indexed

About

Suk-In Hong is a scholar working on Biotechnology, Molecular Biology and Pharmacology. According to data from OpenAlex, Suk-In Hong has authored 11 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biotechnology, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Suk-In Hong's work include Pharmacological Effects of Natural Compounds (3 papers), Microbial Metabolism and Applications (3 papers) and Catalysis and Oxidation Reactions (1 paper). Suk-In Hong is often cited by papers focused on Pharmacological Effects of Natural Compounds (3 papers), Microbial Metabolism and Applications (3 papers) and Catalysis and Oxidation Reactions (1 paper). Suk-In Hong collaborates with scholars based in South Korea. Suk-In Hong's co-authors include Seung Wook Kim, Sung-Taik Lee, Jung-Hwa Kim, Jun‐Seok Kim, Dae-Sil Lee, Min-Jung Song, Hyun‐Soo Moon, Joon-Ho Kim, Ki Bong Lee and Jung Whan Yoo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Process Biochemistry and Applied Biochemistry and Biotechnology.

In The Last Decade

Suk-In Hong

10 papers receiving 392 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suk-In Hong 220 132 109 94 90 11 429
Sunil H. Koli 119 0.5× 60 0.5× 61 0.6× 90 1.0× 84 0.9× 20 451
Nóra Hatvani 138 0.6× 166 1.3× 28 0.3× 26 0.3× 46 0.5× 8 433
Veselin Stanchev 170 0.8× 18 0.1× 53 0.5× 71 0.8× 132 1.5× 14 455
Mohan Appasaheb Dhale 268 1.2× 119 0.9× 75 0.7× 9 0.1× 54 0.6× 29 446
P. Ravindra Babu 119 0.5× 97 0.7× 86 0.8× 12 0.1× 96 1.1× 11 442
Yang Yang 122 0.6× 55 0.4× 26 0.2× 53 0.6× 90 1.0× 24 494
Rishu Kalra 104 0.5× 91 0.7× 24 0.2× 21 0.2× 63 0.7× 13 406
Thi Hanh Nguyen 83 0.4× 44 0.3× 35 0.3× 24 0.3× 91 1.0× 35 396
Verónica Saravia 119 0.5× 33 0.3× 15 0.1× 49 0.5× 84 0.9× 13 488
George Seghal Kiran 71 0.3× 21 0.2× 31 0.3× 35 0.4× 100 1.1× 11 479

Countries citing papers authored by Suk-In Hong

Since Specialization
Citations

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

Fields of papers citing papers by Suk-In Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk-In Hong. 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 Suk-In Hong. The network helps show where Suk-In Hong may publish in the future.

Co-authorship network of co-authors of Suk-In Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Suk-In Hong. A scholar is included among the top collaborators of Suk-In Hong 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 Suk-In Hong. Suk-In Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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