Chulman Jo

1.7k citations
43 papers · 1.4k · h-index 22

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Alzheimer's disease research and treatments 12

Chulman Jo

43 papers receiving 1.4k citations

Peers

Chulman Jo
Comparison fields: 5 of 96
  • Biological Psychiatry 60
  • Neurology 153
  • Physiology 357
  • Neurology 178
  • Epidemiology 349
Replace Hyeran Won with:
Hyeran Won South Korea
Tatiana R. Rosenstock Brazil
Lars Schlotawa Germany
Iain P. Hargreaves United Kingdom
Lorena Perrone Italy
Dirk A. Ridder Germany
Cansu Karabiyik United Kingdom
Michele Madonna Italy
María Delgado‐Esteban Spain
Yansu Guo China
Chulman Jo relative to Hyeran Won South Korea Hyeran Won's profile →
Citations per field
00.5×1.5×2.2×
Hyeran Won · 1×
Citations per year

Countries citing papers authored by Chulman Jo

Since Specialization
Citations

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

Fields of papers citing papers by Chulman Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014271
2 201699
3 201387
4 201471
5 200464
6 201454
7 202053
8 201253
9 202141
10 202141
11 201437
12 201935
13 201935
14 200432
15 201632
16 201231
17 201925
18 200925
19 201024
20 201124

About Chulman Jo

Chulman Jo is a scholar working on Molecular Biology, Physiology, Epidemiology, Neurology and Genetics, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Autophagy in Disease and Therapy (9 papers), Ubiquitin and proteasome pathways (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Animal Genetics and Reproduction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Neurology (153 citations), Physiology (357 citations), Neurology (178 citations) and Epidemiology (349 citations). Chulman Jo has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young Ho Koh, Gail V.W. Johnson, Youngnam N. Jin, Soner Gundemir, Sangmee Ahn Jo, Sun‐Jung Cho, Irfan Rahman, Sang‐Moon Yun, Sunhyo Kim and Ki Ju Choi. Their work appears in journals such as Scientific Reports, PLoS ONE, Biochemical and Biophysical Research Communications, Journal of Alzheimer s Disease and Toxicology Letters.

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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