Marc A. Schaub

6.9k total citations · 2 hit papers
9 papers, 2.6k citations indexed

About

Marc A. Schaub is a scholar working on Molecular Biology, Genetics and Gastroenterology. According to data from OpenAlex, Marc A. Schaub has authored 9 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Gastroenterology. Recurrent topics in Marc A. Schaub's work include Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers) and RNA modifications and cancer (2 papers). Marc A. Schaub is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers) and RNA modifications and cancer (2 papers). Marc A. Schaub collaborates with scholars based in United States, Switzerland and Japan. Marc A. Schaub's co-authors include M Snyder, Alan P. Boyle, Julie Park, J. Michael Cherry, Shuai Weng, Maya Kasowski, Benjamin C. Hitz, Manoj Hariharan, Yong Cheng and Konrad J. Karczewski and has published in prestigious journals such as Bioinformatics, Genetics and Genome Research.

In The Last Decade

Marc A. Schaub

9 papers receiving 2.6k citations

Hit 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.

Annotation of functional variation in personal genomes using RegulomeDB

2012 1.7k citations Alan P. Boyle, Eurie L. Hong et al. Genome Research profile →
Linking disease associations with regulatory information in the human genome

2012 518 citations Marc A. Schaub, Alan P. Boyle et al. Genome Research profile →

Peers

Marc A. Schaub

MB

GENET

CR

IMMUN

PHYSI

Eurie L. Hong United States

Maya Kasowski United States

Erdogan Taskesen Netherlands

Antigone S. Dimas United Kingdom

Harm-Jan Westra Netherlands

Kevin B. Jacobs United States

Daniel M. Jordan United States

Jennifer J. Johnston United States

Alexandra C. Nica Switzerland

María Gutiérrez‐Arcelus United States

Eurie L. Hong United States

Marc A. Schaub

1.8k ×1.3

MB

873 ×0.8

GENET

360 ×1.1

CR

224 ×0.7

IMMUN

153 ×0.9

PHYSI

Citations per year, relative to Marc A. Schaub Marc A. Schaub (= 1×) peers Eurie L. Hong

Countries citing papers authored by Marc A. Schaub

Since Specialization

Citations

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

Fields of papers citing papers by Marc A. Schaub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc A. Schaub. 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 Marc A. Schaub. The network helps show where Marc A. Schaub may publish in the future.

Co-authorship network of co-authors of Marc A. Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of Marc A. Schaub. A scholar is included among the top collaborators of Marc A. Schaub 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 Marc A. Schaub. Marc A. Schaub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Boyle, Alan P., Eurie L. Hong, Manoj Hariharan, et al.. (2012). Annotation of functional variation in personal genomes using RegulomeDB. Genome Research. 22(9). 1790–1797. 1713 indexed citations breakdown →

2.

Schaub, Marc A., Alan P. Boyle, Anshul Kundaje, Serafim Batzoglou, & M Snyder. (2012). Linking disease associations with regulatory information in the human genome. Genome Research. 22(9). 1748–1759. 518 indexed citations breakdown →

3.

Schaub, Marc A., et al.. (2011). Sex differences in disease risk from reported genome-wide association study findings. Human Genetics. 131(3). 353–364. 55 indexed citations

4.

Schaub, Marc A., et al.. (2011). Transmission Distortion in Crohnʼs Disease Risk Gene ATG16L1 Leads to Sex Difference in Disease Association. Inflammatory Bowel Diseases. 18(2). 312–322. 14 indexed citations

5.

Sirota, Marina, Marc A. Schaub, Serafim Batzoglou, William H. Robinson, & Atul J. Butte. (2009). Autoimmune Disease Classification by Inverse Association with SNP Alleles. PLoS Genetics. 5(12). e1000792–e1000792. 126 indexed citations

6.

Schaub, Marc A., et al.. (2009). A Classifier-based approach to identify genetic similarities between diseases. Bioinformatics. 25(12). i21–i29. 16 indexed citations

7.

Schaub, Marc A., Thomas A. Henzinger, & Jasmin Fisher. (2007). Qualitative networks: a symbolic approach to analyze biological signaling networks. BMC Systems Biology. 1(1). 4–4. 56 indexed citations

8.

Miyamoto‐Sato, Etsuko, et al.. (2005). Subdivision of Large Introns in Drosophila by Recursive Splicing at Nonexonic Elements. Genetics. 170(2). 661–674. 96 indexed citations

9.

Rao, K. Shankar & Marc A. Schaub. (1990). Observed variations of ?? and ?? in the nocturnal drainage flow in a deep valley. Boundary-Layer Meteorology. 51(1-2). 31–48. 4 indexed citations

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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