In‐Seok Song

2.9k total citations
88 papers, 2.2k citations indexed

About

In‐Seok Song is a scholar working on Oral Surgery, Surgery and Molecular Biology. According to data from OpenAlex, In‐Seok Song has authored 88 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oral Surgery, 18 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in In‐Seok Song's work include Dental Radiography and Imaging (17 papers), Inflammatory mediators and NSAID effects (11 papers) and Orthodontics and Dentofacial Orthopedics (10 papers). In‐Seok Song is often cited by papers focused on Dental Radiography and Imaging (17 papers), Inflammatory mediators and NSAID effects (11 papers) and Orthodontics and Dentofacial Orthopedics (10 papers). In‐Seok Song collaborates with scholars based in South Korea, United States and Japan. In‐Seok Song's co-authors include William L. Smith, Chong Yuan, Ranjinder S. Sidhu, Kyu-Hwan Jung, Jae‐Young Kim, Jae‐Jun Ryu, Byoung‐Moo Seo, Uri Mbonye, Kyungdo Han and M. Wada and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

In‐Seok Song

83 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
In‐Seok Song South Korea 25 512 471 457 285 257 88 2.2k
Sandra Yasuyo Fukada Brazil 32 1.0k 2.0× 197 0.4× 287 0.6× 108 0.4× 407 1.6× 91 3.2k
Robert Gyurko United States 25 848 1.7× 163 0.3× 95 0.2× 179 0.6× 344 1.3× 42 2.8k
Hiroshige Chiba Japan 24 733 1.4× 130 0.3× 120 0.3× 56 0.2× 206 0.8× 91 2.1k
Tadashi Nakanishi Japan 27 512 1.0× 116 0.2× 408 0.9× 42 0.1× 241 0.9× 127 2.3k
Salvatore Scacco Italy 37 2.2k 4.4× 85 0.2× 305 0.7× 92 0.3× 243 0.9× 119 3.8k
Sompop Bencharit United States 26 751 1.5× 414 0.9× 545 1.2× 62 0.2× 35 0.1× 48 2.5k
Shigeru Amano Japan 29 847 1.7× 131 0.3× 86 0.2× 41 0.1× 454 1.8× 145 2.6k
George Agrogiannis Greece 28 570 1.1× 71 0.2× 244 0.5× 41 0.1× 41 0.2× 133 2.5k
Sung‐Chul Lim South Korea 36 1.4k 2.8× 184 0.4× 217 0.5× 63 0.2× 11 0.0× 191 3.7k
B. Szende Hungary 26 563 1.1× 118 0.3× 176 0.4× 57 0.2× 26 0.1× 104 2.2k

Countries citing papers authored by In‐Seok Song

Since Specialization
Citations

This map shows the geographic impact of In‐Seok 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‐Seok 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‐Seok Song more than expected).

Fields of papers citing papers by In‐Seok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In‐Seok Song

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

All Works

20 of 20 papers shown
1.
2.
Kim, Yong Il, Seongpil An, Jae-Hyung Lim, et al.. (2023). Effect of polymer viscosity and viscoelasticity on tooth cooling and aerosolization during dental procedures. Physics of Fluids. 35(2). 1 indexed citations
3.
Song, In‐Seok, et al.. (2023). Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data. International Journal of Environmental Research and Public Health. 20(3). 1732–1732. 4 indexed citations
4.
5.
Song, In‐Seok, Hyejin Lee, Eun‐Jung Han, et al.. (2023). Protective effects of esomeprazole against cisplatin-induced ototoxicity: an in vitro and in vivo study. Aquatic Toxicology. 260. 106573–106573. 7 indexed citations
6.
Song, In‐Seok, et al.. (2022). Semantic Decomposition and Anomaly Detection of Tympanic Membrane Endoscopic Images. Applied Sciences. 12(22). 11677–11677. 4 indexed citations
7.
Lee, Kwang‐Sig, In‐Seok Song, Eun Sun Kim, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of preterm birth with medications: machine learning analysis using national health insurance data. Archives of Gynecology and Obstetrics. 305(5). 1369–1376. 12 indexed citations
8.
Jun, Sang-Ho, et al.. (2022). Modified high-submandibular appraoch for open reduction and internal fixation of condylar fracture: case series report. Journal of the Korean Association of Oral and Maxillofacial Surgeons. 48(5). 267–276. 1 indexed citations
9.
Lee, Dongkeon, et al.. (2022). The effect of loading time on marginal bone change of implants immediately placed after extraction: a retrospective study. SHILAP Revista de lepidopterología. 8(1). 44–44. 2 indexed citations
10.
Lee, Kwang‐Sig, Eun Sun Kim, In‐Seok Song, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data. International Journal of Environmental Research and Public Health. 19(5). 3056–3056. 6 indexed citations
11.
Song, In‐Seok, et al.. (2021). Molecular mechanism underlying substrate recognition of the peptide macrocyclase PsnB. Nature Chemical Biology. 17(11). 1123–1131. 17 indexed citations
12.
Gwon, Jun Gyo, Jimi Choi, Seung Hyun Kim, et al.. (2021). Risk of acute and chronic coronary syndrome in a population with periodontitis: A cohort study. Oral Diseases. 28(S2). 2522–2529. 3 indexed citations
13.
Jun, Indong, Hyung‐Seop Han, Jae‐Won Lee, et al.. (2021). On/off switchable physical stimuli regulate the future direction of adherent cellular fate. Journal of Materials Chemistry B. 9(27). 5560–5571. 3 indexed citations
14.
Lee, Kwang‐Sig, Eun Sun Kim, Do Young ‍Kim, In‐Seok Song, & Ki Hoon Ahn. (2021). Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis. Journal of Korean Medical Science. 36(43). e282–e282. 12 indexed citations
15.
Lee, Kwang‐Sig, In‐Seok Song, Eun Sun Kim, & Ki Hoon Ahn. (2020). Determinants of Spontaneous Preterm Labor and Birth Including Gastroesophageal Reflux Disease and Periodontitis. Journal of Korean Medical Science. 35(14). e105–e105. 21 indexed citations
16.
Lee, Sung‐Jae, et al.. (2019). Effect of arthrocentesis on the clinical outcome of various treatment methods for temporomandibular joint disorders. Maxillofacial Plastic and Reconstructive Surgery. 41(1). 44–44. 9 indexed citations
17.
Lee, Dongkeon, et al.. (2019). Preliminary study on the efficacy of xerostomia treatment with sialocentesis targeting thyroid disease patients given radioiodine therapy. Maxillofacial Plastic and Reconstructive Surgery. 41(1). 39–39.
18.
Song, In‐Seok, et al.. (2018). Clinical characteristics and recurrence-related factors of medication-related osteonecrosis of the jaw. Journal of the Korean Association of Oral and Maxillofacial Surgeons. 44(5). 225–225. 22 indexed citations
19.
Kim, Sungjae, et al.. (2017). A Small Periplasmic Protein with a Hydrophobic C-Terminal Residue Enhances DegP Proteolysis as a Suicide Activator. Journal of Bacteriology. 200(3). 9 indexed citations
20.
Song, In‐Seok, Kyungdo Han, Yeon‐Jo Choi, Jae‐Jun Ryu, & Jun‐Beom Park. (2016). Influence of oral health behavior and sociodemographic factors on remaining teeth in Korean adults. Medicine. 95(48). e5492–e5492. 13 indexed citations

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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