Gangman Yi

51 total papers · 668 total citations
36 papers, 418 citations indexed

About

Gangman Yi is a scholar working on Molecular Biology, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gangman Yi has authored 36 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Gangman Yi's work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (6 papers) and IoT and Edge/Fog Computing (5 papers). Gangman Yi is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (6 papers) and IoT and Edge/Fog Computing (5 papers). Gangman Yi collaborates with scholars based in South Korea, United States and Canada. Gangman Yi's co-authors include Michael R. Thon, Sing‐Hoi Sze, Jong Im Kim, Young‐Sik Jeong, Jong Hyuk Park, Woongghi Shin, Hwan Su Yoon, John M. Archibald, Sangil Choi and Vincenzo Loia and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Gangman Yi

34 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Gangman Yi	203	69	54	54	49	36	418
Andreas Spillner	195 1.0×	43 0.6×	47 0.9×	52 1.0×	69 1.4×	56	479
Gyeongmin Kim	108 0.5×	25 0.4×	19 0.4×	57 1.1×	24 0.5×	43	388
Yasunori Osana	192 0.9×	98 1.4×	38 0.7×	11 0.2×	35 0.7×	50	383
Miquel A. Senar	176 0.9×	199 2.9×	152 2.8×	31 0.6×	50 1.0×	43	469
Gaganjot Kaur	68 0.3×	45 0.7×	24 0.4×	107 2.0×	60 1.2×	16	482
Natalia Villanueva‐Rosales	181 0.9×	41 0.6×	31 0.6×	172 3.2×	8 0.2×	34	478
Vladimir Ulyantsev	127 0.6×	55 0.8×	28 0.5×	93 1.7×	17 0.3×	40	378
Wei‐Jiun Lin	152 0.7×	41 0.6×	8 0.1×	105 1.9×	27 0.6×	19	466
Shuqiao Chen	53 0.3×	107 1.6×	117 2.2×	23 0.4×	11 0.2×	29	386
Mathieu Dubois	258 1.3×	115 1.7×	15 0.3×	20 0.4×	69 1.4×	24	495

Countries citing papers authored by Gangman Yi

Since Specialization

Citations

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

Fields of papers citing papers by Gangman Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangman Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Gangman Yi. A scholar is included among the top collaborators of Gangman Yi 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 Gangman Yi. Gangman Yi 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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