Paul M. Kim

1.9k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Amino Acid Enzymes and Metabolism (6 papers)Neuroscience and Neuropharmacology Research (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)

In The Last Decade

Paul M. Kim

16 papers receiving 1.5k citations

Hit Papers

Dimethyl fumarate targets GAPDH and aerobic glycolysis to...20182026202020232018100200300400500

Peers

Paul M. Kim
Comparison fields: 5 of 108
  • Molecular Biology 787
  • Biochemistry 630
  • Cellular and Molecular Neuroscience 425
  • Immunology 267
  • Clinical Biochemistry 203
Replace Adrian Israelson with:
Adrian Israelson Israel
Jacques Francon France
Jessica Hui United States
Martin‐Paul Agbaga United States
Shaogang Qu China
Michael H. Elliott United States
Enrique Claro Spain
H. Bea Kuiperij Netherlands
Vanessa A. Morais Portugal
Martina Wiedau‐Pazos United States
Paul M. Kim relative to Adrian Israelson Israel Adrian Israelson's profile →
Citations per field
00.5×7.7×
Adrian Israelson · 1×
Citations per year

Countries citing papers authored by Paul M. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Kim. A scholar is included among the top collaborators of Paul M. Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul M. Kim. Paul M. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 0
5 1
6 2
7 1
8 13
9 21
10
Dimethyl fumarate targets GAPDH and aerobic glycolysis to modulate immunitybreakdown →
506
11 5
12 47
13 112
14 56
15 177
16 60
17 220
18 179
19 73

About Paul M. Kim

Paul M. Kim is a scholar working on Biochemistry, Neurology and Biological Psychiatry, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biochemistry (630 citations), Biological Psychiatry (110 citations) and Clinical Biochemistry (203 citations). Paul M. Kim has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Solomon H. Snyder, Michael D. Kornberg, Peter A. Calabresi, Pavan Bhargava, Adele M. Snowman, Vasanta Putluri, Nagireddy Putluri, Alex S. Huang, Manuel Esguerra and Eric A. Newman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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