Won Sik Eum

3.3k citations
121 papers · 2.6k · h-index 30

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Redox biology and oxidative stress
    • Heat shock proteins research

Papers in

    • RNA Interference and Gene Delivery 21
    • Signaling Pathways in Disease 10
    • Redox biology and oxidative stress 9
    • Endoplasmic Reticulum Stress and Disease 16

Won Sik Eum

120 papers receiving 2.5k citations

Peers

Won Sik Eum
Comparison fields: 5 of 107
  • Neurology 192
  • Molecular Biology 1.4k
  • Biological Psychiatry 44
  • Geriatrics and Gerontology 57
  • Clinical Biochemistry 103
Replace Alfeu Zanotto‐Filho with:
Alfeu Zanotto‐Filho Brazil
Daniela De Zio Denmark
Vinay Choubey Estonia
Soraya S. Smaili Brazil
Oh‐Shin Kwon South Korea
Qian Yang China
Fei Ding China
Yumei Wang China
Shanshan Wang China
Daniel A. Linseman United States
Won Sik Eum relative to Alfeu Zanotto‐Filho Brazil Alfeu Zanotto‐Filho's profile →
Citations per field
00.5×1.5×1.8×
Alfeu Zanotto‐Filho · 1×
Citations per year

Countries citing papers authored by Won Sik Eum

Since Specialization
Citations

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

Fields of papers citing papers by Won Sik Eum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Sik Eum. 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 Won Sik Eum. The network helps show where Won Sik Eum may publish in the future.

Co-authors

The 25 scholars most cited alongside Won Sik Eum, 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 Won Sik Eum Line = papers co-authored together Won Sik Eum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000110
2 2001110
3 2004104
4 200476
5 200772
6 200871
7 200661
8 201361
9 201157
10 201357
11 200557
12 201753
13 201350
14 201547
15 201046
16 201045
17 200943
18 200938
19 201036
20 200635

About Won Sik Eum

Won Sik Eum is a scholar working on Molecular Biology, Cell Biology, Immunology, Neurology and Physiology, having authored 121 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Signaling Pathways in Disease (10 papers), NF-κB Signaling Pathways (10 papers), Biochemical effects in animals (9 papers), Redox biology and oxidative stress (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Neurology (192 citations), Molecular Biology (1.4k citations), Biological Psychiatry (44 citations), Geriatrics and Gerontology (57 citations) and Clinical Biochemistry (103 citations). Won Sik Eum has collaborated with scholars based in South Korea, Nepal and United States. Frequent co-authors include Soo Young Choi, Jinseu Park, Dae Won Kim, Hyeok Yil Kwon, Kyu Hyung Han, Min Jea Shin, Moo Ho Won, Sang Ho Jang, Duk‐Soo Kim and Oh‐Shin Kwon. Their work appears in journals such as BMB Reports, Free Radical Biology and Medicine, Molecules and Cells, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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