Philip Seeman

42.5k total citations · 12 hit papers
379 papers, 33.9k citations indexed

About

Philip Seeman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Philip Seeman has authored 379 papers receiving a total of 33.9k indexed citations (citations by other indexed papers that have themselves been cited), including 252 papers in Cellular and Molecular Neuroscience, 247 papers in Molecular Biology and 67 papers in Psychiatry and Mental health. Recurrent topics in Philip Seeman's work include Neurotransmitter Receptor Influence on Behavior (195 papers), Receptor Mechanisms and Signaling (190 papers) and Neuroscience and Neuropharmacology Research (90 papers). Philip Seeman is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (195 papers), Receptor Mechanisms and Signaling (190 papers) and Neuroscience and Neuropharmacology Research (90 papers). Philip Seeman collaborates with scholars based in Canada, United States and United Kingdom. Philip Seeman's co-authors include Hubert H.M. Van Tol, Hyman B. Niznik, Hong‐Chang Guan, M. Chau-Wong, Shitij Kapur, Roger K. Sunahara, Kwok-Ying Wong, Teresa Tallerico, T. Lee and Pavel Muller and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Philip Seeman

378 papers receiving 32.0k citations

Hit Papers

The Membrane Actions of Anesthetics and Tranquilizers 1972 2026 1990 2008 1972 1991 1980 1976 1991 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Membrane Actions of Anesthetics and Tranquilizers
    1972 1.9k citations Philip Seeman profile →
  2. Cloning of the gene for a human dopamine D4 receptor with high affinity for the antipsychotic clozapine
    1991 1.7k citations Hubert H.M. Van Tol, Hong‐Chang Guan et al. profile →
  3. Brain dopamine receptors.
    1980 1.6k citations Philip Seeman profile →
  4. Antipsychotic drug doses and neuroleptic/dopamine receptors
    1976 1.3k citations Philip Seeman et al. profile →
  5. Cloning of the gene for a human dopamine D5 receptor with higher affinity for dopamine than D1
    1991 947 citations Hong‐Chang Guan, Brian F. O’Dowd et al. profile →
  6. Radioreceptor Binding Profile of the Atypical Antipsychotic Olanzapine
    1996 855 citations Philip Seeman et al. profile →
  7. Dopamine receptor pharmacology
    1994 796 citations Philip Seeman, Hubert H.M. Van Tol profile →
  8. Multiple dopamine D4 receptor variants in the human population
    1992 754 citations Hubert H.M. Van Tol, Hong‐Chang Guan et al. profile →
  9. Atypical Antipsychotics: Mechanism of Action
    2002 690 citations Philip Seeman profile →
  10. Dopamine receptors and the dopamine hypothesis of schizophrenia
    1987 682 citations Philip Seeman Synapse profile →
  11. Antipsychotic Drugs: Direct Correlation Between Clinical Potency and Presynaptic Action on Dopamine Neurons
    1975 638 citations Philip Seeman et al. profile →
  12. Brain receptors for antipsychotic drugs and dopamine: direct binding assays.
    1975 493 citations Philip Seeman, J. L. Tedesco et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Seeman Canada 89 19.7k 16.8k 7.1k 3.5k 3.3k 379 33.9k
Arvid Carlsson Sweden 86 18.0k 0.9× 10.5k 0.6× 3.6k 0.5× 4.0k 1.1× 2.9k 0.9× 444 29.6k
A. David Smith United Kingdom 104 14.0k 0.7× 10.2k 0.6× 4.6k 0.7× 3.7k 1.0× 5.1k 1.6× 559 37.0k
Joseph T. Coyle United States 99 25.2k 1.3× 18.9k 1.1× 3.7k 0.5× 3.5k 1.0× 7.2k 2.2× 423 44.5k
Raul R. Gainetdinov Russia 79 17.8k 0.9× 15.1k 0.9× 2.8k 0.4× 2.6k 0.7× 3.4k 1.0× 333 28.2k
Bertil B. Fredholm Sweden 93 12.8k 0.6× 13.9k 0.8× 2.5k 0.4× 1.9k 0.5× 1.7k 0.5× 528 36.2k
Robert B. Innis United States 84 10.6k 0.5× 6.5k 0.4× 4.0k 0.6× 3.4k 1.0× 3.8k 1.2× 412 25.7k
Jean Logan United States 92 16.2k 0.8× 6.5k 0.4× 6.7k 0.9× 3.8k 1.1× 8.8k 2.7× 272 32.9k
John W. Olney United States 91 17.9k 0.9× 11.8k 0.7× 3.1k 0.4× 3.0k 0.9× 3.2k 1.0× 262 36.2k
Urban Ungerstedt Sweden 97 21.9k 1.1× 10.5k 0.6× 2.7k 0.4× 9.0k 2.6× 3.9k 1.2× 401 36.5k
Lars Farde Sweden 82 11.2k 0.6× 5.1k 0.3× 7.5k 1.1× 3.2k 0.9× 5.7k 1.7× 467 24.2k

Countries citing papers authored by Philip Seeman

Since Specialization
Citations

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

Fields of papers citing papers by Philip Seeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Seeman

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Seeman. A scholar is included among the top collaborators of Philip Seeman 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 Seeman. Philip Seeman 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
1.
Seeman, Philip. (2016). Cannabidiol is a partial agonist at dopamine D2High receptors, predicting its antipsychotic clinical dose. Translational Psychiatry. 6(10). e920–e920. 129 indexed citations
2.
Hudson, Craig J., Philip Seeman, & Mary V. Seeman. (2014). Parkinson’s Disease: Low-Dose Haloperidol Increases Dopamine Receptor Sensitivity and Clinical Response. Parkinson s Disease. 2014. 1–5. 3 indexed citations
3.
4.
King, Madeleine V., Philip Seeman, C.A. Marsden, & K.C.F. Fone. (2009). Increased dopamine D receptors in rats reared in social isolation. Synapse. 63(6). 476–483. 59 indexed citations
5.
Tassin, Jean‐Pol, Y. Torrens, Lucas Salomon, Christophe Lanteri, & Philip Seeman. (2007). Elevated dopamine D2High receptors in α‐1b‐adrenoceptor knockout supersensitive mice. Synapse. 61(7). 569–572. 4 indexed citations
6.
Wolinsky, Toni D., Chad J. Swanson, Hai Zhong, et al.. (2006). The Trace Amine 1 receptor knockout mouse: an animal model with relevance to schizophrenia. Genes Brain & Behavior. 6(7). 628–639. 185 indexed citations
7.
Seeman, Philip & Shitij Kapur. (2003). Anesthetics inhibit high‐affinity states of dopamine D2 and other G‐linked receptors. Synapse. 50(1). 35–40. 62 indexed citations
8.
9.
Tallerico, Teresa, Gabriela Novak, Ivy S.C Liu, Carla Ulpian, & Philip Seeman. (2001). Schizophrenia: elevated mRNA for dopamine D2Longer receptors in frontal cortex. Molecular Brain Research. 87(2). 160–165. 32 indexed citations
10.
Wadenberg, Marie-Louise G. & Philip Seeman. (1999). Clozapine pre-treatment enhances raclopride catalepsy. European Journal of Pharmacology. 377(1). R1–R2. 3 indexed citations
11.
Seeman, Philip & Teresa Tallerico. (1998). Antipsychotic drugs which elicit little or no Parkinsonism bind more loosely than dopamine to brain D2 receptors, yet occupy high levels of these receptors. Molecular Psychiatry. 3(2). 123–134. 226 indexed citations
12.
Seeman, Philip & Bertha K. Madras. (1998). Anti-hyperactivity medication: methylphenidate and amphetamine. Molecular Psychiatry. 3(5). 386–396. 207 indexed citations
13.
Seeman, Philip. (1997). Dopamine Receptors and Antipsychotic Drugs. 17(5). 203. 1 indexed citations
14.
Seeman, Philip, Hong‐Chang Guan, & Hubert H.M. Van Tol. (1995). Schizophrenia: elevation of dopamine D4-like sites, using [3H]nemonapride and [125I]epidepride. European Journal of Pharmacology. 286(2). R3–R5. 51 indexed citations
15.
Tomić, Mirko, Philip Seeman, Susan R. George, & Brian F. O’Dowd. (1993). Dopamine D1 Receptor Mutagenesis: Role of Amino Acids in Agonist and Antagonist Binding. Biochemical and Biophysical Research Communications. 191(3). 1020–1027. 35 indexed citations
16.
Demchyshyn, Lidia, Philip Seeman, Hubert H.M. Van Tol, et al.. (1993). A human somatostatin receptor (SSTR3), located on chromosome 22, displays preferential affinity for somatostatin‐14 like peptides. FEBS Letters. 321(2-3). 279–284. 61 indexed citations
17.
O’Dowd, Brian F., Tuan Nguyen, Keith R. Jarvie, et al.. (1990). Cloning of two additional catecholamine receptors from rat brain. FEBS Letters. 262(1). 8–12. 42 indexed citations
18.
Titeler, Milt, Joseph L. Tedesco, & Philip Seeman. (1978). Selective labeling of pre-synaptic receptors by 3H-dopamine, 3H-apomorphine and 3H-clonidine; labeling of post-synaptic sites by 3H-neuroleptics.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 23(6). 587–91. 47 indexed citations
19.
Seeman, Philip, et al.. (1978). Brain receptors for dopamine and neuroleptics.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19. 167–76. 13 indexed citations
20.
Metcalfe, James C., Philip Seeman, & A. S. V. Burgen. (1968). The Proton Relaxation of Benzyl Alcohol in Erythrocyte Membranes. Molecular Pharmacology. 4(1). 87–95. 112 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.

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