Dong‐Soo Im

1.5k citations
30 papers · 1.3k · h-index 16

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • CRISPR and Genetic Engineering
    • Ubiquitin and proteasome pathways

Papers in

    • Ubiquitin and proteasome pathways 6
    • Cancer-related gene regulation 5
    • RNA Interference and Gene Delivery 4
    • Epigenetics and DNA Methylation 3
    • Virus-based gene therapy research 11

Dong‐Soo Im

28 papers receiving 1.2k citations

Peers

Dong‐Soo Im
Comparison fields: 5 of 72
  • Genetics 540
  • Molecular Biology 845
  • Cancer Research 160
  • Hepatology 68
  • Oncology 232
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Y K Fung United States
Suryanarayan Somanathan United States
Paola Delmastro Italy
Alessio Cantore Italy
Bheem M. Bhat Canada
Soonpin Yei United States
Katsunori Shinozaki United States
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Citations per field
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Citations per year

Countries citing papers authored by Dong‐Soo Im

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Soo Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Soo Im. 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 Dong‐Soo Im. The network helps show where Dong‐Soo Im may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong‐Soo Im, 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 Dong‐Soo Im Line = papers co-authored together Dong‐Soo Im links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990387
2 2001121
3 2006103
4 200697
5 201765
6 199965
7 200452
8 200151
9 201046
10 200736
11 200834
12 200322
13 200420
14 200519
15 200119
16 200517
17 200415
18 201513
19 200513
20 200812

About Dong‐Soo Im

Dong‐Soo Im is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Hepatology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related gene regulation (5 papers), Hepatitis C virus research (4 papers), RNA Interference and Gene Delivery (4 papers), Cancer Research and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (540 citations), Molecular Biology (845 citations), Cancer Research (160 citations), Hepatology (68 citations) and Oncology (232 citations). Dong‐Soo Im has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Nicholas Muzyczka, Cho‐Rok Jung, Won‐Kyung Cho, Jinsang Yoo, Jaerang Rho, Jung Hwa Lim, Xiaohuai Zhou, Irene Zolotukhin, Woo Ho Kim and Jin‐Man Kim. Their work appears in journals such as Virus Research, Molecular Therapy, BMC Cancer, Journal of Virology and Journal of Biological Chemistry.

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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