Robert Kim

49 papers receiving 1.8k citations

Peers

Robert Kim
Comparison fields: 5 of 140
  • Cancer Research 241
  • Analytical Chemistry 111
  • Molecular Biology 727
  • Cognitive Neuroscience 180
  • Immunology 184
Replace Philip A. Clarke with:
Philip A. Clarke United Kingdom
Stephen A. Murray United States
Sangwoo Kim South Korea
Josef Dvořák Czechia
Germain Gillet France
Vanio Mitev Bulgaria
Eric Kuhn United States
Sheema Hashem Qatar
Lijuan Zou China
Kathryn Chapman United Kingdom
Robert Kim relative to Philip A. Clarke United Kingdom Philip A. Clarke's profile →
Citations per field
00.5×2×3.2×
Philip A. Clarke · 1×
Citations per year

Countries citing papers authored by Robert Kim

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006204
2 1995145
3 200595
4 199593
5 200886
6 201083
7 202081
8 200681
9 200878
10 201678
11 200967
12 201660
13 200358
14 201249
15 201946
16 200846
17 199445
18 201343
19 201343
20 200640

About Robert Kim

Robert Kim is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Genetics and Electrical and Electronic Engineering, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers), Cancer, Lipids, and Metabolism (3 papers), Behavioral Health and Interventions (2 papers), Neural and Behavioral Psychology Studies (2 papers), Olfactory and Sensory Function Studies (2 papers), Nuclear and radioactivity studies (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Cancer Research (241 citations), Analytical Chemistry (111 citations), Molecular Biology (727 citations), Cognitive Neuroscience (180 citations) and Immunology (184 citations). Robert Kim has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Terrence J. Sejnowski, R. Mass, Claudio Campa, Napoleone Ferrara, Mohamed Faisal, Mark A. Rubin, Viorica Lopez‐Avila, Werner F. Beckert, Richard Young and Pauline Ho. Their work appears in journals such as Neoplasia, Proceedings of the National Academy of Sciences, Antioxidants and Redox Signaling, Circulation Arrhythmia and Electrophysiology and Hormones and Behavior.

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