Junguk Hur

7.4k citations
141 papers · 5.1k indexed · 2 hit papers · h-index 37

Impact in

    • Endoplasmic Reticulum Stress and Disease
  • Neurology top 1%
    • Amyotrophic Lateral Sclerosis Research

Papers in

Junguk Hur

137 papers receiving 5.0k citations

Hit Papers

New perspectives in diabetic neuropathy 2023 · 107 citations
10720132026201720214008001.2k

Peers

Junguk Hur
Comparison fields: 5 of 157
  • Cell Biology 1.0k
  • Neurology 806
  • Genetics 412
  • Physiology 994
  • Molecular Biology 2.6k
Replace Jianhua Zhang with:
Jianhua Zhang United States
Erxi Wu United States
Dongchon Kang Japan
Toru Yanagawa Japan
Zhiping Hu China
Shinji Saiki Japan
Moisés Garcı́a-Arencibia Spain
Ying Cui China
Anne Lombès France
Karen S. SantaCruz United States
Junguk Hur relative to Jianhua Zhang United States Jianhua Zhang's profile →
Citations per field
00.5×1.5×2.4×
Jianhua Zhang · 1×
Citations per year

Countries citing papers authored by Junguk Hur

Since Specialization
Citations

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

Fields of papers citing papers by Junguk Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20246
4 202412
5 20246
6 20234
7 20231
8 202319
9 20237
10 20221
11 20222
12 202128
13 201928
14 201953
15 201821
16 201745
17 201622
18 201541
19 2011123
20 20093

About Junguk Hur

Junguk Hur is a scholar working on Neurology, Biological Psychiatry, Obstetrics and Gynecology, Neurology and Physiology, having authored 141 papers that have together received 5.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (15 papers), Amyotrophic Lateral Sclerosis Research (14 papers), Pain Mechanisms and Treatments (13 papers), Adipose Tissue and Metabolism (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Peroxisome Proliferator-Activated Receptors (11 papers). The work is most often cited by research in Cell Biology (1.0k citations), Neurology (806 citations), Genetics (412 citations), Physiology (994 citations) and Molecular Biology (2.6k citations). Junguk Hur has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Eva L. Feldman, Robert Gildersleeve, Jixiu Shan, Celvie L. Yuan, Michael S. Kilberg, Yu-Hsuan Lin, Dawid Krokowski, Sung Hoon Back, Randal J. Kaufman and Maureen A. Sartor. Their work appears in journals such as Diabetes, Journal of Biomedical Semantics, Brain, Disease Models & Mechanisms and The FASEB Journal.

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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