Jae Jin An

23 total papers · 537 total citations
18 papers, 381 citations indexed

About

Jae Jin An is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Jae Jin An has authored 18 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Neurology. Recurrent topics in Jae Jin An's work include RNA Interference and Gene Delivery (5 papers), Biochemical effects in animals (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Jae Jin An is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Biochemical effects in animals (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Jae Jin An collaborates with scholars based in South Korea, Nepal and United States. Jae Jin An's co-authors include Soo Young Choi, Won Sik Eum, Jinseu Park, Moo Ho Won, Dae Won Kim, Tae‐Cheon Kang, Sang Ho Jang, Oh‐Shin Kwon, Ki‐Yeon Yoo and Sun Hwa Lee and has published in prestigious journals such as FEBS Letters, Free Radical Biology and Medicine and European Journal of Biochemistry.

In The Last Decade

Jae Jin An

18 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Jae Jin An 255 55 54 44 43 18 381
Hee Soon Choi 259 1.0× 38 0.7× 109 2.0× 83 1.9× 28 0.7× 17 442
Seung Taek Ji 185 0.7× 34 0.6× 58 1.1× 32 0.7× 34 0.8× 24 421
Chengfeng Sun 201 0.8× 24 0.4× 29 0.5× 73 1.7× 24 0.6× 23 404
Nidhi Saini 177 0.7× 31 0.6× 27 0.5× 66 1.5× 22 0.5× 22 377
Bushra Ahmed 192 0.8× 25 0.5× 27 0.5× 58 1.3× 69 1.6× 20 341
Catarina Dias 219 0.9× 117 2.1× 43 0.8× 34 0.8× 45 1.0× 16 391
Hyung Joo Kwon 167 0.7× 39 0.7× 29 0.5× 15 0.3× 58 1.3× 15 346
Parijat Kabiraj 168 0.7× 46 0.8× 107 2.0× 38 0.9× 25 0.6× 14 344
Frankis G. Almaguel 148 0.6× 45 0.8× 59 1.1× 46 1.0× 47 1.1× 12 383
Mingying Luo 147 0.6× 37 0.7× 49 0.9× 24 0.5× 38 0.9× 21 373

Countries citing papers authored by Jae Jin An

Since Specialization
Citations

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

Fields of papers citing papers by Jae Jin An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Jin An. 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 Jae Jin An. The network helps show where Jae Jin An may publish in the future.

Co-authorship network of co-authors of Jae Jin An

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Jin An. A scholar is included among the top collaborators of Jae Jin An 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 Jae Jin An. Jae Jin An 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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