Péter Straub

4.1k citations
32 papers · 2.7k · 3 hit papers · h-index 13

Impact in

    • Breast Cancer Treatment Studies
    • MicroRNA in disease regulation
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Péter Straub

27 papers receiving 2.7k citations

Péter Straub's Hit Papers

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies 2025 · 96 citations
960+3+6Years since publication50010001.5k

Peers

Péter Straub
Comparison fields: 5 of 78
  • Cancer Research 206
  • Hepatology 123
  • Genetics 346
  • Biological Psychiatry 11
  • Oncology 213
Replace Younghun Han with:
Younghun Han United States
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Qian Qin United States
Adam C. Coffman United States
Stephanie L. Gaillard United States
Carina Ittrich Germany
Daekwan Seo South Korea
Libin Deng China
John Mandeli United States
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Citations per field
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Citations per year

Countries citing papers authored by Péter Straub

Since Specialization
Citations

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

Fields of papers citing papers by Péter Straub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LinkedOmics: analyzing multi-omics data within and across 32 cancer types
Hit paper breakdown →
20171669
2
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
Hit paper breakdown →
2022271
3 2019165
4
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
Hit paper breakdown →
202596
5 202375
6 202173
7 202265
8 202257
9 202143
10 201935
11 201531
12 201929
13 202226
14 202212
15 202411
16 202410
17 20239
18 20226
19 20255
20 20234

About Péter Straub

Péter Straub is a scholar working on Genetics, Psychiatry and Mental health, Pharmacology, Ophthalmology and Virology, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Pharmacogenetics and Drug Metabolism (2 papers), Glaucoma and retinal disorders (2 papers), Schizophrenia research and treatment (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Hidradenitis Suppurativa and Treatments (1 paper), HIV Research and Treatment (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Cancer Research (206 citations), Hepatology (123 citations), Genetics (346 citations), Biological Psychiatry (11 citations) and Oncology (213 citations). Péter Straub has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Suhas V. Vasaikar, Bing Zhang, Jing Wang, Lea Karatheodoris Davis, Jordan W. Smoller, Tian Ge, Douglas M. Ruderfer, Jessica Kiri Dennis, Arden Moscati and Victor Manuel Castro. Their work appears in journals such as Cell Genomics, European Neuropsychopharmacology, Nature Communications, Clinical and Translational Science and Clinical Infectious Diseases.

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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