Silvia N. Calderon

995 citations
31 papers · 769 indexed · h-index 14

Silvia N. Calderon

30 papers receiving 731 citations

Peers

Silvia N. Calderon
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 553
  • Toxicology 43
  • Molecular Biology 485
  • Behavioral Neuroscience 22
  • Physiology 153
Replace Nicolette C. Ross with:
Nicolette C. Ross United States
M. Edward Pierson United States
Theodore C. Spaulding United States
Elena Poggesi Italy
Amy Hauck Newman United States
James J. Schupsky United States
Steven Dabbs United States
Nicole Kennedy United States
Masakatsu Nozaki Japan
Kenneth L. Hauser United States
Silvia N. Calderon relative to Nicolette C. Ross United States Nicolette C. Ross's profile →
Citations per field
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Nicolette C. Ross · 1×
Citations per year

Countries citing papers authored by Silvia N. Calderon

Since Specialization
Citations

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

Fields of papers citing papers by Silvia N. Calderon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia N. Calderon. 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 Silvia N. Calderon. The network helps show where Silvia N. Calderon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202210
2 20213
3 201714
4 201624
5 201415
6 20104
7 200012
8 199920
9 19986
10 199712
11 199769
12 199638
13 199612
14 19960
15 1995163
16 199420
17 1994172
18 19941
19 19941
20 19916

About Silvia N. Calderon

Silvia N. Calderon is a scholar working on Cellular and Molecular Neuroscience, Toxicology, Anesthesiology and Pain Medicine, Pharmaceutical Science and Molecular Biology, having authored 31 papers that have together received 769 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (14 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Chemical Synthesis and Analysis (4 papers), Opioid Use Disorder Treatment (4 papers), Forensic Toxicology and Drug Analysis (3 papers), Pain Management and Opioid Use (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (553 citations), Toxicology (43 citations), Molecular Biology (485 citations), Behavioral Neuroscience (22 citations) and Physiology (153 citations). Silvia N. Calderon has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Richard B. Rothman, Peg Davis, Edward J. Bilsky, Kenner C. Rice, Robert W. McNutt, Frank Porreca, Victor J. Hruby, Michael Klein, Heng Xu and Frank Porreca. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Regulatory Peptides, Neuropharmacology and Pain Medicine.

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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