Narat J. Eungdamrong

1.4k citations
12 papers · 1.1k indexed · h-index 11
Topics
Gene Regulatory Network Analysis (4 papers)Bioinformatics and Genomic Networks (4 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)
Partner nations
United States

In The Last Decade

Narat J. Eungdamrong

12 papers receiving 1.0k citations

Peers

Narat J. Eungdamrong
Comparison fields: 5 of 117
  • Molecular Biology 466
  • Immunology 433
  • Dermatology 206
  • Cell Biology 121
  • Physiology 114
Replace Antonella Manca with:
Antonella Manca Italy
Kulandayan K. Subramanian United States
Nikola S. Mueller Germany
June‐Tai Wu Taiwan
Vivien Igras United States
Laura E. Kilpatrick United Kingdom
András Aszódi Austria
Angelika Schmidt Sweden
Joel Karpiak United States
Callen T. Wallace United States
Narat J. Eungdamrong relative to Antonella Manca Italy Antonella Manca's profile →
Citations per field
00.5×4.2×
Antonella Manca · 1×
Citations per year

Countries citing papers authored by Narat J. Eungdamrong

Since Specialization
Citations

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

Fields of papers citing papers by Narat J. Eungdamrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narat J. Eungdamrong. 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 Narat J. Eungdamrong. The network helps show where Narat J. Eungdamrong may publish in the future.

Co-authorship network of co-authors of Narat J. Eungdamrong

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 46
3 15
4 40
5 87
6 347
7 20
8 105
9 226
10 44
11 59
12 76

About Narat J. Eungdamrong

Narat J. Eungdamrong is a scholar working on Dermatology, Modeling and Simulation and Biophysics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Dermatology (206 citations), Immunology (433 citations) and Biophysics (50 citations). Narat J. Eungdamrong has collaborated with scholars based in United States. Frequent co-authors include Ravi Iyengar, Michelle A. Lowes, Judilyn Fuentes‐Duculan, Katherine C. Pierson, Lisa C. Zaba, James G. Krueger, Juana Gonzalez, Inna Novitskaya, Susana R. Neves and Avi Ma’ayan. Their work appears in journals such as Science, Journal of Biological Chemistry and Current 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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