Bogdan Paşaniuc

25.9k citations

108 papers · 6.5k indexed · 6 hit papers · h-index 39

Genetics top 0.2%
Molecular Biology top 2%
Cancer Research top 5%
Immunology top 10%
Physiology top 10%

Co-authors: Gleb Kichaev Alkes L. Price Huwenbo Shi Nicholas Mancuso Noah Zaitlen Eleazar Eskin Farhad Hormozdiari Alexander Gusev
Topics: Genetic Associations and Epidemiology (88 papers)Genetic Mapping and Diversity in Plants and Animals (46 papers)Genetic and phenotypic traits in livestock (41 papers)
Cited by: Genetics Molecular Biology Cancer Research
Journals: Nature Science Cell
Partner nations: United States United Kingdom Israel

In The Last Decade

Bogdan Paşaniuc

104 papers receiving 6.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Opportunities and challenges for transcriptome-wide association studies

2019 506 citations Michael Wainberg, Nasa Sinnott-Armstrong et al. Nature Genetics profile →
Leveraging Polygenic Functional Enrichment to Improve GWAS Power

2018 485 citations Gleb Kichaev, Steven Gazal et al. The American Journal of Human Genetics profile →
Colocalization of GWAS and eQTL Signals Detects Target Genes

2016 380 citations Farhad Hormozdiari, Sriram Sankararaman et al. The American Journal of Human Genetics profile →
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

2018 293 citations Alexander Gusev, Nicholas Mancuso et al. Nature Genetics profile →
Principles and methods for transferring polygenic risk scores across global populations

2023 103 citations Linda Kachuri, Nilanjan Chatterjee et al. Nature Reviews Genetics profile →
Polygenic scoring accuracy varies across the genetic ancestry continuum

2023 90 citations Yi Ding, Kangcheng Hou et al. profile →

Peers

Countries citing papers authored by Bogdan Paşaniuc

Since Specialization

Citations

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

Fields of papers citing papers by Bogdan Paşaniuc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Paşaniuc

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Paşaniuc. A scholar is included among the top collaborators of Bogdan Paşaniuc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bogdan Paşaniuc. Bogdan Paşaniuc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hidden structure in polygenic scores and the challenge of disentangling ancestry interactions in admixed populations 2025 ·Genetics ·(unknown),Ravi Mandla,(unknown),Bogdan Paşaniuc,Iain Mathieson	0
2	Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring 2023 ·The American Journal of Human Genetics ·Ella Petter,Yi Ding,Kangcheng Hou,Arjun Bhattacharya,Alexander Gusev,Noah Zaitlen,Bogdan Paşaniuc	4
3	Principles and methods for transferring polygenic risk scores across global populationsbreakdown → 2023 ·Nature Reviews Genetics ·Linda Kachuri,Nilanjan Chatterjee,Jibril Hirbo,Daniel J. Schaid,Iman K. Martin,Iftikhar J. Kullo,Eimear E. Kenny,Bogdan Paşaniuc,Paul L. Auer,Matthew P. Conomos,David V. Conti,Yi Ding,Ying Wang,Haoyu Zhang,Yuji Zhang,John S. Witte,Tian Ge	103
4	Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain 2023 ·Nature Genetics ·Arjun Bhattacharya,Daniel Vo,Connor Jops,Minsoo Kim,Cindy Wen,(unknown),Bogdan Paşaniuc,Michael J. Gandal	19
5	Optimized high-throughput screening of non-coding variants identified from genome-wide association studies 2022 ·Nucleic Acids Research ·Tunç Morova,Yi Ding,Chia-Chi Flora Huang,(unknown),(unknown),Claudia Giambartolomei,Sylvan C. Baca,Dennis Grishin,Faraz Hach,Alexander Gusev,Matthew L. Freedman,Bogdan Paşaniuc,Nathan A. Lack	8
6	Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity 2022 ·Nature Genetics ·Steven Gazal,Omer Weissbrod,Farhad Hormozdiari,Kushal K. Dey,Joseph Nasser,Karthik A. Jagadeesh,Daniel J. Weiner,Huwenbo Shi,Charles P. Fulco,Luke J. O’Connor,Bogdan Paşaniuc,J Engreitz,Alkes L. Price	73
7	Partitioning gene-level contributions to complex-trait heritability by allele frequency identifies disease-relevant genes 2022 ·The American Journal of Human Genetics ·Kathryn S. Burch,Kangcheng Hou,Yi Ding,(unknown),Steven Gazal,Huwenbo Shi,Bogdan Paşaniuc	6
8	Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies 2021 ·PLoS Genetics ·Helian Feng,Nicholas Mancuso,Alexander Gusev,Arunabha Majumdar,(unknown),Bogdan Paşaniuc,Peter Kraft	41
9	Leveraging eQTLs to identify individual-level tissue of interest for a complex trait 2021 ·PLoS Computational Biology ·Arunabha Majumdar,Claudia Giambartolomei,Na Cai,Tanushree Haldar,(unknown),Michael J. Gandal,Jonathan Flint,Bogdan Paşaniuc	3
10	A two-step approach to testing overall effect of gene–environment interaction for multiple phenotypes 2020 ·Bioinformatics ·Arunabha Majumdar,Kathryn S. Burch,Tanushree Haldar,Sriram Sankararaman,Bogdan Paşaniuc,W. James Gauderman,John S. Witte	8
11	Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants 2019 ·Cancer Research ·Lang Wu,Jifeng Wang,Qiuyin Cai,Taylor B. Cavazos,Nima C. Emami,Jirong Long,Xiao‐Ou Shu,Yingchang Lu,Xingyi Guo,Joshua A. Bauer,Bogdan Paşaniuc,Kathryn L. Penney,Matthew L. Freedman,Zsofia Kote‐Jarai,Esther M. John,Christopher A. Haiman,Rosalind A. Eeles,Wei Zheng	37
12	RAISS: robust and accurate imputation from summary statistics 2019 ·Bioinformatics ·Hanna Julienne,Huwenbo Shi,Bogdan Paşaniuc,Hugues Aschard	14
13	Opportunities and challenges for transcriptome-wide association studiesbreakdown → 2019 ·Nature Genetics ·Michael Wainberg,Nasa Sinnott-Armstrong,Nicholas Mancuso,Alvaro Barbeira,David A. Knowles,David E. Golan,Raili Ermel,Arno Ruusalepp,Thomas Quertermous,Ke Hao,Johan Björkegren,Hae Kyung Im,Bogdan Paşaniuc,Manuel A. Rivas,Anshul Kundaje	506
14	Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture 2019 ·Nature Genetics ·Kangcheng Hou,Kathryn S. Burch,Arunabha Majumdar,Huwenbo Shi,Nicholas Mancuso,Yue Wu,Sriram Sankararaman,Bogdan Paşaniuc	59
15	A transcriptome-wide association study of high-grade serous epithelial ovarian cancer identifies new susceptibility genes and splice variants 2019 ·Nature Genetics ·Alexander Gusev,Kate Lawrenson,Xianzhi Lin,Paulo C. Lyra,Siddhartha Kar,(unknown),Felipe Segato,Marcos A. Fonseca,Janet M. Lee,(unknown),Gang Liu,Beth Y. Karlan,Matthew L. Freedman,Houtan Noushmehr,Álvaro N.A. Monteiro,Paul D.P. Pharoah,Bogdan Paşaniuc,Simon A. Gayther	66
16	A unifying framework for joint trait analysis under a non-infinitesimal model 2018 ·Bioinformatics ·Ruth Johnson,Huwenbo Shi,Bogdan Paşaniuc,Sriram Sankararaman	3
17	Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insightsbreakdown → 2018 ·Nature Genetics ·Alexander Gusev,Nicholas Mancuso,Hyejung Won,Maria Kousi,Hilary K. Finucane,Yakir Reshef,Lingyun Song,Alexias Safi,Steven A. McCarroll,Benjamin M. Neale,Roel A. Ophoff,Michael O’Donovan,Gregory E. Crawford,Daniel H. Geschwind,Nicholas Katsanis,Patrick F. Sullivan,Bogdan Paşaniuc,Alkes L. Price	293
18	Improved methods for multi-trait fine mapping of pleiotropic risk loci 2016 ·Bioinformatics ·Gleb Kichaev,(unknown),Ruth Johnson,Eleazar Eskin,Sara Lindström,Peter Kraft,Bogdan Paşaniuc	76
19	Spatial Localization of Recent Ancestors for Admixed Individuals 2014 ·G3 Genes Genomes Genetics ·Wen-Yun Yang,Alexander Platt,Charleston W. K. Chiang,Eleazar Eskin,John Novembre,Bogdan Paşaniuc	12
20	Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits 2013 ·eScholarship (California Digital Library) ·Bogdan Paşaniuc,Noah Zaitlen	227

About Bogdan Paşaniuc

Bogdan Paşaniuc is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 108 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (88 papers), Genetic Mapping and Diversity in Plants and Animals (46 papers) and Genetic and phenotypic traits in livestock (41 papers). The work is most often cited by research in Genetics (4.4k citations), Molecular Biology (3.1k citations) and Cancer Research (502 citations). Bogdan Paşaniuc has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Gleb Kichaev, Alkes L. Price, Huwenbo Shi, Nicholas Mancuso, Noah Zaitlen, Eleazar Eskin, Farhad Hormozdiari, Alexander Gusev, Sriram Sankararaman and Malika Freund. Their work appears in journals such as Nature, Science and Cell.

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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