Philip Pitis

976 total citations · 1 hit paper
7 papers, 774 citations indexed

About

Philip Pitis is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip Pitis has authored 7 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip Pitis's work include Pharmacological Receptor Mechanisms and Effects (6 papers), Chemical synthesis and alkaloids (3 papers) and Neuropeptides and Animal Physiology (3 papers). Philip Pitis is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (6 papers), Chemical synthesis and alkaloids (3 papers) and Neuropeptides and Animal Physiology (3 papers). Philip Pitis collaborates with scholars based in United States. Philip Pitis's co-authors include Jonathan D. Violin, David H. Rominger, Scott M. DeWire, Michael Koblish, Conrad L. Cowan, Catherine Yuan, Dimitar B. Gotchev, Xiaotao Chen, Dennis S. Yamashita and Thomas M. Graczyk and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Philip Pitis

7 papers receiving 750 citations

Hit Papers

A G Protein-Biased Ligand at the μ-Opioid Receptor Is Pot... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip Pitis United States 7 571 538 127 88 69 7 774
Dimitar B. Gotchev United States 5 550 1.0× 507 0.9× 116 0.9× 121 1.4× 62 0.9× 6 787
Michael Koblish United States 11 642 1.1× 642 1.2× 210 1.7× 52 0.6× 71 1.0× 13 929
Nicole Kennedy United States 9 435 0.8× 388 0.7× 102 0.8× 122 1.4× 23 0.3× 19 664
Nicolette C. Ross United States 12 603 1.1× 473 0.9× 145 1.1× 63 0.7× 23 0.3× 12 778
Jeffrey D. Daubert United States 12 264 0.5× 316 0.6× 199 1.6× 23 0.3× 14 0.2× 16 504
Davide Malfacini Italy 16 503 0.9× 483 0.9× 188 1.5× 29 0.3× 32 0.5× 39 657
Mary K. Grizzle United States 17 264 0.5× 198 0.4× 99 0.8× 102 1.2× 13 0.2× 22 609
Brian I. Knapp United States 16 433 0.8× 402 0.7× 75 0.6× 103 1.2× 13 0.2× 35 683
Ilona P. Berzetei‐Gurske United States 13 486 0.9× 489 0.9× 161 1.3× 31 0.4× 19 0.3× 23 614
Erik Mansson United States 9 362 0.6× 419 0.8× 173 1.4× 14 0.2× 11 0.2× 12 547

Countries citing papers authored by Philip Pitis

Since Specialization
Citations

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

Fields of papers citing papers by Philip Pitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Pitis

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

All Works

7 of 7 papers shown
1.
DeWire, Scott M., Dennis S. Yamashita, David H. Rominger, et al.. (2013). A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphine. Journal of Pharmacology and Experimental Therapeutics. 344(3). 708–717. 502 indexed citations breakdown →
3.
Codd, E E, John R. Carson, Raymond W. Colburn, et al.. (2006). The Novel, Orally Active, Delta Opioid RWJ-394674 Is Biotransformed to the Potent Mu Opioid RWJ-413216. Journal of Pharmacology and Experimental Therapeutics. 318(3). 1273–1279. 14 indexed citations
4.
Carson, John R., Steven J. Coats, Ellen E. Codd, et al.. (2004). N , N -Dialkyl-4-[(8-azabicyclo[3.2.1]-oct-3-ylidene)phenylmethyl]benzamides, potent, selective δ opioid agonists. Bioorganic & Medicinal Chemistry Letters. 14(9). 2109–2112. 18 indexed citations
5.
Coats, Steven J., Mark J. Schulz, John R. Carson, et al.. (2004). Parallel methods for the preparation and SAR exploration of N-ethyl-4-[(8-alkyl-8-aza-bicyclo[3.2.1]oct-3-ylidene)-aryl-methyl]-benzamides, powerful mu and delta opioid agonists. Bioorganic & Medicinal Chemistry Letters. 14(22). 5493–5498. 20 indexed citations
6.
Carson, John R., Steven J. Coats, Ellen E. Codd, et al.. (2004). N -Alkyl-4-[(8-azabicyclo[3.2.1]-oct-3-ylidene)phenylmethyl]benzamides, μ and δ opioid agonists: a μ address. Bioorganic & Medicinal Chemistry Letters. 14(9). 2113–2116. 6 indexed citations
7.
Carson, John R., Philip Pitis, Jeffry L. Vaught, et al.. (1997). Aroyl(aminoacyl)pyrroles, a New Class of Anticonvulsant Agents. Journal of Medicinal Chemistry. 40(11). 1578–1584. 42 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026