Young-Cho Kim

2.5k citations
33 papers · 1.7k · h-index 20

Impact in

Papers in

Young-Cho Kim

33 papers receiving 1.7k citations

Peers

Young-Cho Kim
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 224
  • Aging 51
  • Cognitive Neuroscience 471
  • Insect Science 262
Replace H. Inagaki with:
H. Inagaki United States
Richard A. Baines United Kingdom
James J. L. Hodge United Kingdom
Thomas Riemensperger Germany
Wei L. Shen China
Pavel M. Itskov Portugal
Laurent Seugnet France
Davide Dulcis United States
André Fiala Germany
Olga V. Alekseyenko United States
Young-Cho Kim relative to H. Inagaki United States H. Inagaki's profile →
Citations per field
00.5×1.5×
H. Inagaki · 1×
Citations per year

Countries citing papers authored by Young-Cho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young-Cho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Cho Kim. 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 Young-Cho Kim. The network helps show where Young-Cho Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007275
2 2009205
3 2003132
4 2017102
5 201794
6 200386
7 201779
8 200877
9
Prevalence and characterization of methicillin-resistant Staphylococcus aureus in raw meat in Korea.
201073
10 201864
11 200963
12 201662
13 201358
14 200855
15 200439
16 202026
17 201823
18 200622
19 201621
20 201720

About Young-Cho Kim

Young-Cho Kim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrine and Autonomic Systems, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (11 papers), Neuroscience and Music Perception (8 papers), Neural dynamics and brain function (8 papers), Circadian rhythm and melatonin (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (224 citations), Aging (51 citations), Cognitive Neuroscience (471 citations) and Insect Science (262 citations). Young-Cho Kim has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include Kyung‐An Han, Hyun-Gwan Lee, Nandakumar S. Narayanan, Chang-Soo Seong, Eric B. Emmons, K L Parker, Stephanie L. Alberico, Ronald L. Davis, Benjamin J. De Corte and H. Dankert. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Neuroscience, Developmental Biology and Current Biology.

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.

Explore authors with similar magnitude of impact