André Tadić

49 papers receiving 2.2k citations

André Tadić's Hit Papers

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies 2025 · 84 citations
840+3+7Years since publication100200300

Peers

André Tadić
Comparison fields: 5 of 92
  • Biological Psychiatry 382
  • Pharmacology 622
  • Behavioral Neuroscience 121
  • Psychiatry and Mental health 326
  • Clinical Psychology 384
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Matthew S. Milak United States
Tae‐Youn Jun South Korea
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Isabelle Massat Belgium
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Masaki Kato Japan
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Markus Kosel Switzerland
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Citations per year

Countries citing papers authored by André Tadić

Since Specialization
Citations

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

Fields of papers citing papers by André Tadić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intravenous Esketamine in Adult Treatment-Resistant Depression: A Double-Blind, Double-Randomization, Placebo-Controlled Study
Hit paper breakdown →
2015377
2 2014209
3 2014162
4 2006155
5 200999
6 200089
7
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
Hit paper breakdown →
202584
8 200978
9 201067
10 201762
11 201158
12 200657
13 200956
14 201946
15 201843
16 201641
17 200838
18 201136
19 202135
20 201133

About André Tadić

André Tadić is a scholar working on Pharmacology, Biological Psychiatry, Psychiatry and Mental health, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Treatment of Major Depression (20 papers), Tryptophan and brain disorders (9 papers), Bipolar Disorder and Treatment (8 papers), Personality Disorders and Psychopathology (7 papers), Autism Spectrum Disorder Research (6 papers), Mental Health Research Topics (6 papers), Nerve injury and regeneration (4 papers) and Attention Deficit Hyperactivity Disorder (3 papers). The work is most often cited by research in Biological Psychiatry (382 citations), Pharmacology (622 citations), Behavioral Neuroscience (121 citations), Psychiatry and Mental health (326 citations) and Clinical Psychology (384 citations). André Tadić has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefanie Wagner, Klaus Peter Lieb, Isabella Helmreich, Norbert Dahmen, Nadine Dreimüller, Michael Huß, Carmen Maria Olivera Müller, Oliver Tuescher, Christoph Hiemke and Alexandra Sebastian. Their work appears in journals such as Journal of Psychiatric Research, Journal of Affective Disorders, European Archives of Psychiatry and Clinical Neuroscience, The World Journal of Biological Psychiatry and Psychiatric Genetics.

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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