David Siwicki

466 citations
21 papers · 380 · h-index 12

Impact in

Papers in

David Siwicki

21 papers receiving 355 citations

Peers

David Siwicki
Comparison fields: 5 of 54
  • Psychiatry and Mental health 151
  • Cellular and Molecular Neuroscience 161
  • Pharmacology 127
  • Biological Psychiatry 17
  • Behavioral Neuroscience 19
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Citations per year

Countries citing papers authored by David Siwicki

Since Specialization
Citations

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

Fields of papers citing papers by David Siwicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2
Insurance Companies Fighting the Peer Review Empire without any Validity: the Case for Addiction and Pain Modalities in the face of an American Drug Epidemic.
201835
3 201931
4 202030
5 201827
6 201926
7
Analysis of Evidence for the Combination of Pro-dopamine Regulator (KB220PAM) and Naltrexone to Prevent Opioid Use Disorder Relapse.
201820
8 201819
9 201917
10 201716
11
GLOBAL OPIOID EPIDEMIC: DOOMED TO FAIL WITHOUT GENETICALLY BASED PRECISION ADDICTION MEDICINE (PAM™): LESSONS LEARNED FROM AMERICA.
201715
12 201814
13 201812
14 201812
15 201911
16 201710
17 202010
18 20209
19
Introducing "Precision Addiction Management (PAM®)" as an Adjunctive Genetic Guided Therapy for Abusable Drugs in America.
20189
20 20188

About David Siwicki

David Siwicki is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Pharmacology, Clinical Psychology and Epidemiology, having authored 21 papers that have together received 380 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Attention Deficit Hyperactivity Disorder (8 papers), Substance Abuse Treatment and Outcomes (4 papers), Treatment of Major Depression (4 papers), Opioid Use Disorder Treatment (3 papers), Pharmacology and Obesity Treatment (2 papers), Tryptophan and brain disorders (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Psychiatry and Mental health (151 citations), Cellular and Molecular Neuroscience (161 citations), Pharmacology (127 citations), Biological Psychiatry (17 citations) and Behavioral Neuroscience (19 citations). David Siwicki has collaborated with scholars based in United States, Hungary and India. Frequent co-authors include Kenneth Blum, Rajendra Dhar Badgaiyan, Edward Justin Modestino, David A. Baron, Mary Alice Hauser, Lisa Lott, Bruce D. Steinberg, Thomas McLaughlin, Marjorie C. Gondré‐Lewis and Eric R. Braverman. Their work appears in journals such as Molecular Neurobiology, Journal of Behavioral Addictions, Current Pharmaceutical Biotechnology and PubMed.

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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