S.J. Mulé

3.5k citations
97 papers · 3.1k · h-index 33

Impact in

  • Toxicology top 0.05%
    • Forensic Toxicology and Drug Analysis
    • Neurotransmitter Receptor Influence on Behavior
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology

Papers in

S.J. Mulé

95 papers receiving 2.8k citations

Peers

S.J. Mulé
Comparison fields: 5 of 121
  • Toxicology 846
  • Cellular and Molecular Neuroscience 1.1k
  • Pharmacology 496
  • Pharmacology 263
  • Anesthesiology and Pain Medicine 150
Replace S.Y. Yeh with:
S.Y. Yeh United States
Charles W. Gorodetzky United States
Diana G. Wilkins United States
Iain M. McIntyre United States
W. D. Darwin United States
Hidetoshi Yoshimura Japan
Silvio Caccia Italy
Gary L. Henderson United States
Louis Lemberger United States
R. A. A. Maes Netherlands
S.J. Mulé relative to S.Y. Yeh United States S.Y. Yeh's profile →
Citations per field
00.5×5.3×
S.Y. Yeh · 1×
Citations per year

Countries citing papers authored by S.J. Mulé

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Mulé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976232
2 1976198
3 1975160
4 1975133
5 197185
6 196479
7 196978
8 198876
9 197772
10 196471
11 197468
12 198866
13 197366
14 197261
15 197157
16 197654
17 196254
18 197653
19 198852
20 197452

About S.J. Mulé

S.J. Mulé is a scholar working on Toxicology, Cellular and Molecular Neuroscience, Molecular Biology, Spectroscopy and Pharmacology, having authored 97 papers that have together received 3.1k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (30 papers), Analytical Chemistry and Chromatography (17 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (11 papers), Analytical Methods in Pharmaceuticals (10 papers), Diet and metabolism studies (10 papers), Cannabis and Cannabinoid Research (9 papers) and Psychedelics and Drug Studies (9 papers). The work is most often cited by research in Toxicology (846 citations), Cellular and Molecular Neuroscience (1.1k citations), Pharmacology (496 citations), Pharmacology (263 citations) and Anesthesiology and Pain Medicine (150 citations). S.J. Mulé has collaborated with scholars based in United States, Bulgaria and Russia. Frequent co-authors include A L Misra, Karl Verebey, P. K. Nayak, Richard B. Resnick, Jan Volavka, D. Jukofsky, R Blöch, Maria de Lourdes Bastos, Karl Verebely and R B Pontani. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmacology and Experimental Therapeutics, Journal of Analytical Toxicology, Clinical Chemistry and Biochemical Pharmacology.

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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