Song Ja Kim

202 total papers · 4.9k total citations
157 papers, 4.0k citations indexed

About

Song Ja Kim is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Song Ja Kim has authored 157 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 36 papers in Pharmacology and 30 papers in Organic Chemistry. Recurrent topics in Song Ja Kim's work include Osteoarthritis Treatment and Mechanisms (24 papers), Synthesis and biological activity (22 papers) and Inflammatory mediators and NSAID effects (20 papers). Song Ja Kim is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (24 papers), Synthesis and biological activity (22 papers) and Inflammatory mediators and NSAID effects (20 papers). Song Ja Kim collaborates with scholars based in South Korea, Pakistan and United States. Song Ja Kim's co-authors include Abdul Rehman Phull, Seon‐Mi Yu, Jang‐Soo Chun, Ihsan ul Haq, Bakht Nasir, Sang‐Gu Hwang, Shin‐Sung Kang, Hussain Raza, Qamar Abbas and Chun‐do Oh and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Song Ja Kim

148 papers receiving 4.0k citations

Hit Papers

Oxidative stress, consequ... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Song Ja Kim 1.7k 825 550 507 389 157 4.0k
Liangliang Liu 1.3k 0.8× 464 0.6× 291 0.5× 281 0.6× 118 0.3× 131 3.7k
Peng Yang 1.6k 1.0× 315 0.4× 698 1.3× 379 0.7× 129 0.3× 181 4.0k
Aldo Paolicchi 1.7k 1.0× 575 0.7× 126 0.2× 384 0.8× 157 0.4× 141 5.8k
Shigeru Sassa 5.7k 3.4× 849 1.0× 351 0.6× 298 0.6× 1.0k 2.6× 216 8.2k
Xueqi Fu 2.4k 1.5× 388 0.5× 208 0.4× 385 0.8× 107 0.3× 179 4.7k
Chiara Dianzani 2.0k 1.2× 222 0.3× 207 0.4× 343 0.7× 209 0.5× 123 4.7k
Mark A. Levy 2.0k 1.2× 294 0.4× 176 0.3× 324 0.6× 225 0.6× 100 3.4k
Dai Nakae 1.9k 1.1× 213 0.3× 201 0.4× 858 1.7× 161 0.4× 188 5.0k
Vincenzo Zappia 2.6k 1.6× 913 1.1× 133 0.2× 210 0.4× 237 0.6× 124 5.3k
Pierre Leroy 3.4k 2.1× 219 0.3× 217 0.4× 515 1.0× 283 0.7× 110 5.6k

Countries citing papers authored by Song Ja Kim

Since Specialization
Citations

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

Fields of papers citing papers by Song Ja Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Ja Kim. 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 Song Ja Kim. The network helps show where Song Ja Kim may publish in the future.

Co-authorship network of co-authors of Song Ja Kim

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