R. Gade

707 citations
12 papers · 558 indexed · h-index 6

Impact in

Papers in

R. Gade

11 papers receiving 531 citations

Peers

R. Gade
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 253
  • Pharmacology 176
  • Endocrine and Autonomic Systems 58
  • Clinical Psychology 148
  • Psychiatry and Mental health 106
Replace R. Verde with:
R. Verde United States
J Horodnicki Poland
Frank Enning Germany
Kathryn Dillon United States
Osnat Karni Israel
Juliane K. Mueller Germany
Melissa J. Benson Australia
Rubén García‐Cabrerizo Spain
Mark Fulton United States
Amanda LC Chen Taiwan
R. Gade relative to R. Verde United States R. Verde's profile →
Citations per field
00.5×
R. Verde · 1×
Citations per year

Countries citing papers authored by R. Gade

Since Specialization
Citations

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

Fields of papers citing papers by R. Gade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside R. Gade, 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 R. Gade Line = papers co-authored together R. Gade links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20250
2 199861
3 1997132
4 199757
5 1997166
6
ORIGINAL RESEARCH ARTICLE Studies of the potential role of the dopamine D 1 receptor gene in addictive behaviors
199719
7 19962
8 19963
9 19962
10
Genetic variants of the human obesity (OB) gene: association with body mass index in young women, psychiatric symptoms, and interaction with the dopamine D2 receptor (DRD2) gene.
1996113
11 19962
12 19961

About R. Gade

R. Gade is a scholar working on Clinical Psychology, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Parasitology and Insect Science, having authored 12 papers that have together received 558 indexed citations. Recurring topics across this work include Obsessive-Compulsive Spectrum Disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Attention Deficit Hyperactivity Disorder (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cannabis and Cannabinoid Research (1 paper), Insect symbiosis and bacterial influences (1 paper), Diet and metabolism studies (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (253 citations), Pharmacology (176 citations), Endocrine and Autonomic Systems (58 citations), Clinical Psychology (148 citations) and Psychiatry and Mental health (106 citations). R. Gade has collaborated with scholars based in United States and India. Frequent co-authors include Donn Muhleman, James P. MacMurray, David E. Comings, Gerard Saucier, R. Verde, Patrick Johnson, D E Comings, Warren Peters, George Dietz and Linda Hyder Ferry. Their work appears in journals such as Psychiatric Genetics, Molecular Psychiatry, PLoS ONE 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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