Won‐Ki Baek

2.9k citations
88 papers · 2.3k indexed · h-index 28

Won‐Ki Baek

84 papers receiving 2.3k citations

Peers

Won‐Ki Baek
Comparison fields: 5 of 110
  • Biological Psychiatry 80
  • Geriatrics and Gerontology 87
  • Molecular Medicine 110
  • Biochemistry 125
  • Cancer Research 314
Replace Seong‐Il Suh with:
Seong‐Il Suh South Korea
Min‐Ho Suh South Korea
Jong‐Suk Kim South Korea
Duan‐Fang Liao China
Pil‐Hoon Park South Korea
Anne Véjux France
Mi‐Kyoung Kwak South Korea
Byoungduck Park South Korea
Tomokazu Ohishi Japan
Fajun Yang United States
Won‐Ki Baek relative to Seong‐Il Suh South Korea Seong‐Il Suh's profile →
Citations per field
00.5×1.5×2.3×
Seong‐Il Suh · 1×
Citations per year

Countries citing papers authored by Won‐Ki Baek

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Ki Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Ki Baek. 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‐Ki Baek. The network helps show where Won‐Ki Baek may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20221
4 202110
5 202028
6 20167
7 201637
8 201519
9 201417
10
An Autopsy Case of Amyotrophic Lateral Sclerosis with Neuroinflammatory change
20121
11 201217
12 201213
13 201046
14 201022
15
Ambivalent role of gallated catechins in glucose tolerance in humans: a novel insight into non-absorbable gallated catechin-derived inhibitors of glucose absorption.
200940
16 2005129
17 200452
18 200245
19 200150
20 2001106

About Won‐Ki Baek

Won‐Ki Baek is a scholar working on Cancer Research, Endocrinology and Biological Psychiatry, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (16 papers), Cancer, Hypoxia, and Metabolism (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), NF-κB Signaling Pathways (5 papers), Hepatitis B Virus Studies (5 papers), Autophagy in Disease and Therapy (5 papers), Ubiquitin and proteasome pathways (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Biological Psychiatry (80 citations), Geriatrics and Gerontology (87 citations) and Molecular Medicine (110 citations). Won‐Ki Baek has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seong‐Il Suh, Min‐Ho Suh, Jong‐Wook Park, Byeong‐Churl Jang, Dae‐Kyu Song, Taeg Kyu Kwon, Misun Hwang, Seong‐Ryong Lee, Jae-We Cho and Seong-Il Suh. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Letters, Journal of Korean Medical Science, Biochemical Pharmacology and International Journal of Oncology.

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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