In-Sung Song

58 total papers · 877 total citations
32 papers, 687 citations indexed

About

In-Sung Song is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, In-Sung Song has authored 32 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Cancer Research. Recurrent topics in In-Sung Song's work include Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (5 papers) and Redox biology and oxidative stress (4 papers). In-Sung Song is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (5 papers) and Redox biology and oxidative stress (4 papers). In-Sung Song collaborates with scholars based in South Korea, United States and Singapore. In-Sung Song's co-authors include Yu Jeong Jeong, Jin Han, Nari Kim, Byoung Doo Rhee, Hyoung Kyu Kim, Kyung Soo Ko, Sung‐Wuk Jang, Seung Hun Jeong, Jin Han and Hye Jin Heo and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Cancer Research.

In The Last Decade

In-Sung Song

31 papers receiving 674 citations

Author Peers

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

Author						Papers	Cites
In-Sung Song	419	129	112	92	80	32	687
Yuan Li	464 1.1×	144 1.1×	89 0.8×	68 0.7×	82 1.0×	31	656
Prachi Bajpai	499 1.2×	159 1.2×	72 0.6×	97 1.1×	58 0.7×	34	742
Jaime Jacqueline Jayapalan	370 0.9×	97 0.8×	77 0.7×	93 1.0×	46 0.6×	42	790
Lijie Gong	422 1.0×	127 1.0×	54 0.5×	104 1.1×	65 0.8×	34	792
Hoi Leong Xavier Wong	414 1.0×	179 1.4×	142 1.3×	124 1.3×	60 0.8×	29	789
Anni I. Nieminen	505 1.2×	115 0.9×	69 0.6×	170 1.8×	88 1.1×	37	782
Tingting Hong	299 0.7×	144 1.1×	63 0.6×	141 1.5×	99 1.2×	33	686
Shan Zhao	365 0.9×	113 0.9×	57 0.5×	90 1.0×	103 1.3×	43	696
Xiaoxia Jin	395 0.9×	154 1.2×	76 0.7×	95 1.0×	48 0.6×	36	733
Wei-Che Wu	411 1.0×	140 1.1×	138 1.2×	81 0.9×	106 1.3×	23	670

Countries citing papers authored by In-Sung Song

Since Specialization

Citations

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

Fields of papers citing papers by In-Sung Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In-Sung Song

This figure shows the co-authorship network connecting the top 25 collaborators of In-Sung Song. A scholar is included among the top collaborators of In-Sung Song 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 In-Sung Song. In-Sung Song 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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