Daniel J. Siebert

1.8k citations
11 papers · 1.5k · 1 hit paper · h-index 10

Impact in

    • Alkaloids: synthesis and pharmacology
  • Toxicology top 1%
    • Forensic Toxicology and Drug Analysis

Papers in

Daniel J. Siebert

11 papers receiving 1.5k citations

Daniel J. Siebert's Hit Papers

Salvinorin A: A potent naturally occurring nonnitrogenous κ opioid selective agonist 2002 · 679 citations
6790+8+16Years since publication200400600

Peers

Daniel J. Siebert
Comparison fields: 5 of 70
  • Pharmacology 447
  • Toxicology 183
  • Cellular and Molecular Neuroscience 500
  • Clinical Psychology 291
  • Molecular Biology 436
Replace Richard B. Westkaemper with:
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Daniel J. Siebert relative to Richard B. Westkaemper United States Richard B. Westkaemper's profile →
Citations per field
00.5×1.5×2.1×
Richard B. Westkaemper · 1×
Citations per year

Countries citing papers authored by Daniel J. Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Salvinorin A: A potent naturally occurring nonnitrogenous κ opioid selective agonist
Hit paper breakdown →
2002679
2 1994234
3 2004178
4 2004171
5 200495
6 200681
7 200546
8 199929
9 200814
10 201310
11
Salvinorin A effect on rats when tested in a bioassay based on Hall's open field test
20061

About Daniel J. Siebert

Daniel J. Siebert is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Toxicology, Clinical Psychology and Gastroenterology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (8 papers), Psychedelics and Drug Studies (3 papers), Neuropeptides and Animal Physiology (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Plant biochemistry and biosynthesis (1 paper), Receptor Mechanisms and Signaling (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Pharmacology (447 citations), Toxicology (183 citations), Cellular and Molecular Neuroscience (500 citations), Clinical Psychology (291 citations) and Molecular Biology (436 citations). Daniel J. Siebert has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Bryan L. Roth, Richard B. Rothman, Kenner C. Rice, Paul R. Ernsberger, Richard B. Westkaemper, S Steinberg, Jordan Kordian Zjawiony, Jeremy Stewart, Sandra J. Hufeisen and Beth A. Compton-Toth. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, FEBS Journal, Journal of Ethnopharmacology, Phytochemical Analysis and Neurogastroenterology & Motility.

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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