Ji Sun Nam

135 total papers · 3.0k total citations
85 papers, 2.2k citations indexed

About

Ji Sun Nam is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Ji Sun Nam has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 23 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Molecular Biology. Recurrent topics in Ji Sun Nam's work include Cardiovascular Health and Disease Prevention (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Ji Sun Nam is often cited by papers focused on Cardiovascular Health and Disease Prevention (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Ji Sun Nam collaborates with scholars based in South Korea, United States and Australia. Ji Sun Nam's co-authors include Chul Woo Ahn, Jong Suk Park, Shinae Kang, Kyung Rae Kim, Sang Bae Lee, Min Kyung Kim, Kahui Park, Jung Hye Kim, Byoung Kwon Lee and Bong Soo and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Ji Sun Nam

84 papers receiving 2.1k citations

Hit Papers

Elevated TyG Index Predic... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ji Sun Nam 814 651 569 414 316 85 2.2k
Shinae Kang 831 1.0× 710 1.1× 705 1.2× 548 1.3× 378 1.2× 75 2.6k
Barry I. Joffe 715 0.9× 353 0.5× 357 0.6× 370 0.9× 319 1.0× 97 2.7k
Maria Perticone 720 0.9× 909 1.4× 531 0.9× 442 1.1× 501 1.6× 132 2.5k
Yi‐Da Tang 573 0.7× 726 1.1× 369 0.6× 530 1.3× 144 0.5× 130 1.9k
Xuan Li 486 0.6× 539 0.8× 435 0.8× 792 1.9× 297 0.9× 139 2.4k
Antonino Saitta 499 0.6× 612 0.9× 328 0.6× 666 1.6× 338 1.1× 123 3.2k
Chul‐Hee Kim 840 1.0× 324 0.5× 567 1.0× 466 1.1× 474 1.5× 126 2.3k
Ki-Won Oh 687 0.8× 395 0.6× 692 1.2× 582 1.4× 305 1.0× 129 2.2k
Muhei Tanaka 664 0.8× 694 1.1× 515 0.9× 466 1.1× 730 2.3× 106 2.7k
Tomoaki Morioka 819 1.0× 399 0.6× 547 1.0× 442 1.1× 478 1.5× 123 2.8k

Countries citing papers authored by Ji Sun Nam

Since Specialization
Citations

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

Fields of papers citing papers by Ji Sun Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Sun Nam. 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 Ji Sun Nam. The network helps show where Ji Sun Nam may publish in the future.

Co-authorship network of co-authors of Ji Sun Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Sun Nam. A scholar is included among the top collaborators of Ji Sun Nam 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 Ji Sun Nam. Ji Sun Nam 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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