Nakon Aroonsakool

802 citations
14 papers · 652 indexed · h-index 11
Topics
Cardiac Fibrosis and Remodeling (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Peptidase Inhibition and Analysis (3 papers)

In The Last Decade

Nakon Aroonsakool

13 papers receiving 647 citations

Peers

Nakon Aroonsakool
Comparison fields: 5 of 74
  • Molecular Biology 394
  • Cardiology and Cardiovascular Medicine 145
  • Surgery 78
  • Oncology 66
  • Cell Biology 64
Replace Zhuo-Wei Hu with:
Zhuo-Wei Hu China
Zhiyao Fu United States
Soumik BasuRay United States
Christine Shugrue United States
Pallavi Subramanian Germany
Mark V. Stevens United States
Shoko Sugiyama Japan
Masakuni Noda Japan
Prachi Umbarkar United States
Christine Maeder Switzerland
Nakon Aroonsakool relative to Zhuo-Wei Hu China Zhuo-Wei Hu's profile →
Citations per field
00.5×1.5×
Zhuo-Wei Hu · 1×
Citations per year

Countries citing papers authored by Nakon Aroonsakool

Since Specialization
Citations

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

Fields of papers citing papers by Nakon Aroonsakool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nakon Aroonsakool

This figure shows the co-authorship network connecting the top 25 collaborators of Nakon Aroonsakool. A scholar is included among the top collaborators of Nakon Aroonsakool 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 Nakon Aroonsakool. Nakon Aroonsakool is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 47
2 76
3 25
4 66
5 1
6 39
7 1
8 138
9 40
10 126
11 51
12 19
13 22
14 1

About Nakon Aroonsakool

Nakon Aroonsakool is a scholar working on Hepatology, Physiology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 652 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Physiology (61 citations), Hepatology (56 citations) and Cardiology and Cardiovascular Medicine (145 citations). Nakon Aroonsakool has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include Paul A. Insel, Utako Yokoyama, David Lu, Hemal H. Patel, Fiona Murray, David M. Roth, N. Chin Lai, Loren M. Brown, Aaron N. Snead and Lee K. Landeen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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