Jongdae Shin

1k citations
27 papers · 842 · h-index 19

Impact in

  • Genetics top 10%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Genetic Syndromes and Imprinting
    • Pregnancy and preeclampsia studies

Papers in

Jongdae Shin

27 papers receiving 838 citations

Peers

Jongdae Shin
Comparison fields: 5 of 64
  • Genetics 247
  • Obstetrics and Gynecology 54
  • Geriatrics and Gerontology 19
  • Molecular Biology 293
  • Cellular and Molecular Neuroscience 63
Replace George C. Talbott with:
George C. Talbott United States
Ryoko Akai Japan
Xianjin Yi Japan
Sagar Ghosh United States
Emilie Vander Haar United States
Yujie Chen China
Hyo-Jong Kim South Korea
Kyung Ho Lee South Korea
Shan Li China
Peter W. M. Roevens Belgium
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Citations per field
00.5×2×4×6×7.7×
George C. Talbott · 1×
Citations per year

Countries citing papers authored by Jongdae Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jongdae Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jongdae Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongdae Shin Line = papers co-authored together Jongdae Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010139
2 202088
3 202279
4 201452
5 201643
6 200541
7 201936
8 201731
9 202130
10 200629
11 201226
12 202025
13 202025
14 200724
15 202023
16 201022
17 201322
18 201720
19 201820
20 201719

About Jongdae Shin

Jongdae Shin is a scholar working on Obstetrics and Gynecology, Cellular and Molecular Neuroscience, Genetics, Epidemiology and Geriatrics and Gerontology, having authored 27 papers that have together received 842 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Autophagy in Disease and Therapy (5 papers), Genetic Syndromes and Imprinting (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Pregnancy and preeclampsia studies (3 papers), Inflammasome and immune disorders (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Genetics (247 citations), Obstetrics and Gynecology (54 citations), Geriatrics and Gerontology (19 citations), Molecular Biology (293 citations) and Cellular and Molecular Neuroscience (63 citations). Jongdae Shin has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hwan‐Woo Park, Soochul Park, Ingolf Bach, Jeanne Bentley Lawrence, Meg Byron, Baowei Jiao, Sung Ki Lee, Stephen N. Jones, Michael Bossenz and Xiaochun Zhu. Their work appears in journals such as Nature, Molecular and Cellular Biology, Molecular Biology of the Cell, International Journal of Biological Sciences and International Journal of Nanomedicine.

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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