K. Ramabadran

952 citations
49 papers · 820 indexed · h-index 16
Topics
Neuropeptides and Animal Physiology (29 papers)Pain Mechanisms and Treatments (21 papers)Pharmacological Receptor Mechanisms and Effects (14 papers)

In The Last Decade

K. Ramabadran

48 papers receiving 788 citations

Peers

K. Ramabadran
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 461
  • Physiology 394
  • Molecular Biology 310
  • Pharmacology 92
  • Pharmacology 83
Replace E. Gori with:
E. Gori Italy
F. Cankat Tulunay Türkiye
Tetsuo Kiso Japan
Jean‐Marie Gillardin France
Leland C. Hendershot United States
Pál Riba Hungary
Helen Wheeler-Aceto United States
M. R. Fennessy Australia
T L Yaksh United States
Ze‐Hui Gong China
K. Ramabadran relative to E. Gori Italy E. Gori's profile →
Citations per field
00.5×3.3×
E. Gori · 1×
Citations per year

Countries citing papers authored by K. Ramabadran

Since Specialization
Citations

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

Fields of papers citing papers by K. Ramabadran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Ramabadran

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 41
2 3
3 15
4 10
5 15
6 9
7 7
8 8
9 7
10 109
11
Pharmacology of β-casomorphins, opioid peptides derived from milk protein
11
12 57
13 14
14 20
15 16
16 5
17 6
18 1
19 2
20 1

About K. Ramabadran

K. Ramabadran is a scholar working on Cellular and Molecular Neuroscience, Physiology and Endocrine and Autonomic Systems, having authored 49 papers that have together received 820 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (29 papers), Pain Mechanisms and Treatments (21 papers) and Pharmacological Receptor Mechanisms and Effects (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (461 citations), Physiology (394 citations) and Pharmacology (83 citations). K. Ramabadran has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include M. Bansinath, J. Jacob, Herman Turndorf, Margarita M. Puig, Joseph Jacob, Andrea Gaedigk, John N. van den Anker, Tommy Andersson, Susan M. Abdel‐Rahman and Gregory L. Kearns. Their work appears in journals such as Anesthesiology, British Journal of Pharmacology and Pharmacology & Therapeutics.

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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