Seong‐Su Nah

57 total papers · 1.1k total citations
33 papers, 711 citations indexed

About

Seong‐Su Nah is a scholar working on Pharmacology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Seong‐Su Nah has authored 33 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 8 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in Seong‐Su Nah's work include Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Musculoskeletal pain and rehabilitation (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Seong‐Su Nah is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Musculoskeletal pain and rehabilitation (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Seong‐Su Nah collaborates with scholars based in South Korea, United States and Pakistan. Seong‐Su Nah's co-authors include Bin Yoo, In‐Young Choi, Hee‐Bom Moon, Seung‐Jae Hong, Yong‐Gil Kim, Chang‐Keun Lee, Chung‐Il Joung, Hyung Hwan Baik, Eunyoung Ha and Joo‐Ho Chung and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Seong‐Su Nah

30 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Seong‐Su Nah 189 161 152 118 104 33 711
Shafqat Rasul Chaudhry 131 0.7× 103 0.6× 122 0.8× 82 0.7× 144 1.4× 36 830
İhsan Kara 61 0.3× 219 1.4× 162 1.1× 306 2.6× 73 0.7× 38 840
Iona MacDonald 145 0.8× 50 0.3× 202 1.3× 155 1.3× 99 1.0× 26 854
Yuan Qu 79 0.4× 118 0.7× 257 1.7× 85 0.7× 58 0.6× 32 719
Caroline Zanotto 33 0.2× 113 0.7× 220 1.4× 60 0.5× 144 1.4× 26 790
Janaína Kolling 32 0.2× 52 0.3× 178 1.2× 251 2.1× 124 1.2× 44 841
A.C.A. Glen 49 0.3× 118 0.7× 213 1.4× 37 0.3× 84 0.8× 31 881
Maria G. Matera 78 0.4× 152 0.9× 219 1.4× 119 1.0× 278 2.7× 28 788
Mahsa Dolatshahi 69 0.4× 82 0.5× 177 1.2× 56 0.5× 180 1.7× 42 873
Mei‐Mei Gao 132 0.7× 85 0.5× 316 2.1× 51 0.4× 69 0.7× 33 636

Countries citing papers authored by Seong‐Su Nah

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Su Nah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Su Nah. 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 Seong‐Su Nah. The network helps show where Seong‐Su Nah may publish in the future.

Co-authorship network of co-authors of Seong‐Su Nah

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Su Nah. A scholar is included among the top collaborators of Seong‐Su Nah 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 Seong‐Su Nah. Seong‐Su Nah 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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