Sharon Kim

2.4k citations
33 papers · 1.7k · h-index 19

Impact in

Papers in

Sharon Kim

32 papers receiving 1.7k citations

Peers

Sharon Kim
Comparison fields: 5 of 107
  • Cognitive Neuroscience 657
  • Cellular and Molecular Neuroscience 361
  • Radiology, Nuclear Medicine and Imaging 355
  • Psychiatry and Mental health 213
  • Developmental Neuroscience 58
Replace Timothy Brown with:
Timothy Brown United States
Micheal D. Phillips United States
Adrienne Dorr Canada
Hiroki Sugihara Japan
Frederic von Wegner Germany
D Rex United States
Mathieu Ducros United States
Arturo Cárdenas‐Blanco Germany
Daniel García-Lorenzo France
Isabelle Guillemain France
Sharon Kim relative to Timothy Brown United States Timothy Brown's profile →
Citations per field
00.5×2×2.5×
Timothy Brown · 1×
Citations per year

Countries citing papers authored by Sharon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sharon 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 Sharon Kim Line = papers co-authored together Sharon 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 2004234
2 2016227
3 2016223
4 2004122
5 2019107
6 201082
7 200280
8 200567
9 202066
10 200966
11 201661
12 200546
13 200344
14 200643
15 202042
16 200842
17 202129
18 201522
19 202320
20 202118

About Sharon Kim

Sharon Kim is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Dermatology and Neurology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (5 papers), Photoreceptor and optogenetics research (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Facial Rejuvenation and Surgery Techniques (3 papers), Schizophrenia research and treatment (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (657 citations), Cellular and Molecular Neuroscience (361 citations), Radiology, Nuclear Medicine and Imaging (355 citations), Psychiatry and Mental health (213 citations) and Developmental Neuroscience (58 citations). Sharon Kim has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Elizabeth M. C. Hillman, Mohammed A. Shaik, Damir B. Matic, Mariel G. Kozberg, Ying Ma, Paul M. Thompson, Arthur W. Toga, Katherine L. Narr, Hanzhi Zhao and Philip R. Szeszko. Their work appears in journals such as Cell Reports, Journal of Craniofacial Surgery, Journal of Neuroscience, Plastic & Reconstructive Surgery and PLoS Computational 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.

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