Soyong Jang

33 total papers · 490 total citations
26 papers, 390 citations indexed

About

Soyong Jang is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Soyong Jang has authored 26 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Organic Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Soyong Jang's work include Sphingolipid Metabolism and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Stress Responses and Cortisol (3 papers). Soyong Jang is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Stress Responses and Cortisol (3 papers). Soyong Jang collaborates with scholars based in South Korea, United States and Japan. Soyong Jang's co-authors include Seikwan Oh, Jae-Chul Jung, Yeon‐Ju Lee, Dong‐Hyun Kim, Hwan‐Soo Yoo, Mankil Jung, Ikhlas A. Khan, Sohyeon Moon, Suk Hyo Suh and Zulfıqar Ali and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Medicinal Chemistry.

In The Last Decade

Soyong Jang

26 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Soyong Jang 185 70 64 58 51 26 390
Swati Chaturvedi 146 0.8× 40 0.6× 34 0.5× 37 0.6× 32 0.6× 24 412
Muzaffar Abbas 132 0.7× 48 0.7× 43 0.7× 73 1.3× 60 1.2× 29 385
Nahid Fakhraei 75 0.4× 74 1.1× 30 0.5× 35 0.6× 41 0.8× 30 373
Daiany Priscilla Bueno da Silva 97 0.5× 130 1.9× 63 1.0× 63 1.1× 47 0.9× 28 407
Ben-Qin Tang 178 1.0× 62 0.9× 100 1.6× 35 0.6× 18 0.4× 25 367
Łukasz Fijałkowski 98 0.5× 44 0.6× 41 0.6× 46 0.8× 53 1.0× 19 360
Akinori Nishi 172 0.9× 47 0.7× 214 3.3× 47 0.8× 45 0.9× 31 444
Antônio Rafael Quadros Gomes 107 0.6× 29 0.4× 39 0.6× 64 1.1× 49 1.0× 28 439
Cheng‐Ying Hsieh 155 0.8× 23 0.3× 68 1.1× 54 0.9× 21 0.4× 19 397
Amrita Chowdhury 100 0.5× 24 0.3× 37 0.6× 48 0.8× 40 0.8× 12 381

Countries citing papers authored by Soyong Jang

Since Specialization
Citations

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

Fields of papers citing papers by Soyong Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soyong Jang

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