Toshi A. Furukawa

University of Bristol

Decision SciencesPsychology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 13 papers. Top paper: “Antidepressants might work for people with major depression: where do we go from here?”.

Antidepressants might work for people with major depression: where do we go from here?

The Lancet Psychiatry(2018)10.1016/s2215-0366(18)30133-0

N/A

1.4DataRank · unranked

38 citations

Georgia Salanti, Toshi A. Furukawa, Matthias Egger, Stefan Leucht, Henricus G Ruhe +16 more

Is placebo response in antidepressant trials rising or not? A reanalysis of datasets to conclude this long-lasting controversy

BMJ Mental Health(2018)10.1136/eb-2017-102827

N/A

1.2DataRank · unranked

29 citations

Andrea Cipriani, Stefan Leucht, Lauren Z Atkinson, Yusuke Ogawa, Nozomi Takeshima +4 more

Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis

The Lancet(2018)10.1016/s0140-6736(17)32802-7

N/A

1.2DataRank · unranked

3403 citations

Toshi A. Furukawa, Georgia Salanti, Anna Chaimani, Lauren Z Atkinson, Yusuke Ogawa +16 more

Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis

Focus(2018)10.1176/appi.focus.16407

N/A

0.874DataRank · unranked

338 citations

Toshi A. Furukawa, Georgia Salanti, Anna Chaimani, Lauren Z Atkinson, Yusuke Ogawa +16 more

Network meta-analysis of antidepressants – Authors' reply

The Lancet(2018)10.1016/s0140-6736(18)31780-x

N/A

0.208DataRank · unranked

3 citations

Georgia Salanti, Toshi A. Furukawa, John P. A. Ioannidis, John R Geddes, Erick H. Turner +2 more

Pharmacological treatments in panic disorder in adults: a network meta-analysis

Cochrane Database of Systematic Reviews(2023)10.1002/14651858.cd012729.pub3

N/A

0DataRank · unranked

25 citations

Nick Meader, Corrado Barbui, Simon Davies, Toshi A. Furukawa, Hissei Imai +10 more

Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans

Journal of Affective Disorders(2023)10.1016/j.jad.2023.01.082

N/A

0DataRank · unranked

5 citations

Eric L. Ross, Howard Liu, Brett Turner, Corey Bryant, Nur Hani Zainal +17 more

A tool to assess risk of bias in studies estimating the prevalence of mental health disorders (RoB-PrevMH)

medRxiv(2023)10.1101/2023.02.01.23285335

N/A

0DataRank · unranked

2 citations

Diana Buitrago‐García, Natalie Peter, Cristina Mesa-Vieira, Tianjing Li, Toshi A. Furukawa +5 more

Side effect profile and comparative tolerability of newer generation antidepressants in the acute treatment of major depressive disorder in children and adolescents: protocol for a systematic review and network meta-analysis

medRxiv(2025)10.1101/2025.04.02.25324485

N/A

0DataRank · unranked

0 citations

Seda Sacu, Yuki Furukawa, Angharad N. de Cates, Robert A. Schoevers, Jeanine Kamphuis +11 more

Designing clinically useful psychopharmacological trials: challenges and ways forward

The Lancet Psychiatry(2022)10.1016/s2215-0366(22)00041-4

N/A

0DataRank · unranked

18 citations

Philippe Ravaud, Victoria Cornelius, Evan Mayo‐Wilson, Toshi A. Furukawa, Astrid Chevance

Development of a model to predict antidepressant treatment response for depression among Veterans

Psychological Medicine(2022)10.1017/s0033291722001982

N/A

0DataRank · unranked

15 citations

Hannah N. Ziobrowski, Eric L. Ross, Howard Liu, Brett Turner, Ruifeng Cui +17 more

Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward

Behaviour Research and Therapy(2023)10.1016/j.brat.2023.104443

N/A

0DataRank · unranked

97 citations

Michael Barkham, Esther T. Beierl, Brian Schwartz, Katie Aafjes‐van Doorn, Christopher G. Beevers +52 more

Tool to assess risk of bias in studies estimating the prevalence of mental health disorders (RoB-PrevMH)

BMJ Mental Health(2023)10.1136/bmjment-2023-300694

N/A

0DataRank · unranked

25 citations

Diana Buitrago‐García, Natalie Peter, Cristina Mesa-Vieira, Tianjing Li, Toshi A. Furukawa +5 more