Ronald C. Kim

4.0k citations
48 papers · 2.5k indexed · h-index 28

Ronald C. Kim

47 papers receiving 2.4k citations

Peers

Ronald C. Kim
Comparison fields: 5 of 122
  • Developmental Neuroscience 222
  • Neurology 420
  • Cellular and Molecular Neuroscience 619
  • Psychiatry and Mental health 493
  • Physiology 796
Replace Catherine Fallet‐Bianco with:
Catherine Fallet‐Bianco France
Joseph F. Pasternak United States
Paul Yates Australia
Mark I. Rees United Kingdom
Ming Ren China
D Zaccheo Italy
Nancy Edwards United States
J.J. Hauw France
J.‐J. Hauw France
Anand M. Iyer Netherlands
Ronald C. Kim relative to Catherine Fallet‐Bianco France Catherine Fallet‐Bianco's profile →
Citations per field
00.5×1.5×
Catherine Fallet‐Bianco · 1×
Citations per year

Countries citing papers authored by Ronald C. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ronald C. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201759
2 2015188
3 201492
4 201332
5 20119
6 201171
7 2010138
8 200914
9 2007105
10 200613
11 200538
12 200550
13 200237
14 200211
15 200047
16 199814
17 199431
18 199129
19 199053
20 199072

About Ronald C. Kim

Ronald C. Kim is a scholar working on Neurology, Neurology and Developmental Neuroscience, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Glioma Diagnosis and Treatment (6 papers), Dementia and Cognitive Impairment Research (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Developmental Neuroscience (222 citations), Neurology (420 citations) and Cellular and Molecular Neuroscience (619 citations). Ronald C. Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ben H. Choi, James W. Geddes, Carl W. Cotman, Ira T. Lott, Helena C. Chui, Daniel T. Monaghan, María M. Corrada, Claudia H. Kawas, Elizabeth Head and Carl W. Cotman. Their work appears in journals such as Neurobiology of Aging, Experimental Neurology, Journal of Neuropathology & Experimental Neurology, Neurosurgery and Journal of Neuro-Oncology.

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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