K. Chung

1.5k citations
49 papers · 1.3k · h-index 19

Impact in

Papers in

K. Chung

48 papers receiving 1.2k citations

Peers

K. Chung
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 658
  • Physiology 588
  • Developmental Neuroscience 59
  • Endocrine and Autonomic Systems 68
  • Sensory Systems 34
Replace Sarah A. Woller with:
Sarah A. Woller United States
Fiona M. Boissonade United Kingdom
Weidong Zang China
Huiyin Tu United States
Farinaz Nasirinezhad Iran
Yu‐Feng Xie Canada
Kyle M. Baumbauer United States
Gábor Gerber Hungary
Víctor Ruiz-Velasco United States
K. Chung relative to Sarah A. Woller United States Sarah A. Woller's profile →
Citations per field
00.5×1.5×1.8×
Sarah A. Woller · 1×
Citations per year

Countries citing papers authored by K. Chung

Since Specialization
Citations

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

Fields of papers citing papers by K. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988215
2 198795
3 198883
4 199770
5 198867
6 198867
7 200465
8 198953
9 199047
10 198946
11 201143
12 199837
13 201536
14 198928
15 201127
16 201127
17 201525
18 199923
19 201119
20 201318

About K. Chung

K. Chung is a scholar working on Physiology, Cellular and Molecular Neuroscience, Surgery, Molecular Biology and Anesthesiology and Pain Medicine, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (15 papers), Nerve injury and regeneration (9 papers), Neuropeptides and Animal Physiology (8 papers), Anesthesia and Pain Management (7 papers), Spine and Intervertebral Disc Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Anesthesia and Sedative Agents (3 papers) and Dental Anxiety and Anesthesia Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (658 citations), Physiology (588 citations), Developmental Neuroscience (59 citations), Endocrine and Autonomic Systems (68 citations) and Sensory Systems (34 citations). K. Chung has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Susan M. Carlton, R. E. Coggeshall, Wan-Hung Lee, Daniel L. McNeill, Jin Mo Chung, Karin N. Westlund, Young‐Il Jeong, Joseph T. Patterson, Chung‐Wook Chung and Dae Hwan Kang. Their work appears in journals such as The Journal of Comparative Neurology, Medicine, Neuroscience, Korean journal of anesthesiology and European Journal of Pharmaceutics and Biopharmaceutics.

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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