Ravi Mathur

1.1k total citations
9 papers, 101 citations indexed

About

Ravi Mathur is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Ravi Mathur has authored 9 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Ravi Mathur's work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Ravi Mathur is often cited by papers focused on Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Ravi Mathur collaborates with scholars based in United States and Australia. Ravi Mathur's co-authors include Alison A. Motsinger‐Reif, Ali Shojaie, Jun Ma, Daniel M. Rotroff, John Heine, Walker H. Land, Timothy J. Yeatman, Xingye Qiao, Steven A. Eschrich and Daniel Margolis and has published in prestigious journals such as PLoS Genetics, Journal of Translational Medicine and Translational Psychiatry.

In The Last Decade

Ravi Mathur

8 papers receiving 99 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ravi Mathur United States	4	58	14	12	11	7	9	101
Dilan Pathirana Germany	5	54 0.9×	12 0.9×	8 0.7×	8 0.7×	8 1.1×	12	123
Irina Balaur Luxembourg	7	97 1.7×	13 0.9×	6 0.5×	9 0.8×	3 0.4×	19	141
Chenghui Zhao China	9	190 3.3×	13 0.9×	28 2.3×	9 0.8×	8 1.1×	20	277
Nam D. Nguyen United States	6	98 1.7×	24 1.7×	17 1.4×	10 0.9×	5 0.7×	7	160
Aaron Lou United States	2	79 1.4×	15 1.1×	12 1.0×	6 0.5×	2 0.3×	4	148
Sven Fillinger Germany	5	47 0.8×	4 0.3×	7 0.6×	5 0.5×	4 0.6×	6	86
Natalie Buchan United Kingdom	6	92 1.6×	7 0.5×	12 1.0×	42 3.8×	8 1.1×	6	155
Yasmin Alam-Faruque United Kingdom	6	126 2.2×	27 1.9×	14 1.2×	5 0.5×	3 0.4×	6	145
Tongtong Zhu China	9	104 1.8×	2 0.1×	11 0.9×	6 0.5×	9 1.3×	26	189
Marouen Ben Guebila United States	9	141 2.4×	7 0.5×	14 1.2×	15 1.4×	10 1.4×	18	180

Countries citing papers authored by Ravi Mathur

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Mathur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Mathur. A scholar is included among the top collaborators of Ravi Mathur 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 Ravi Mathur. Ravi Mathur 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.

Stratford, Jeran K., Megan Ulmer Carnes, Ravi Mathur, et al.. (2025). Identifying compounds to treat opiate use disorder by leveraging multi-omic data integration and multiple drug repurposing databases. Translational Psychiatry. 15(1). 528–528.

2.

Gillespie, Nathan A., Robert M. Kirkpatrick, Chandra A. Reynolds, et al.. (2022). Determining the stability of genome-wide factors in BMI between ages 40 to 69 years. PLoS Genetics. 18(8). e1010303–e1010303. 4 indexed citations

3.

Mathur, Ravi, Fang Fang, Nathan Gaddis, et al.. (2022). GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing. Communications Biology. 5(1). 806–806. 1 indexed citations

4.

Mathur, Ravi, Megan Ulmer Carnes, Amy Moore, et al.. (2021). mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites. Journal of Translational Medicine. 19(1). 461–461. 2 indexed citations

5.

Mathur, Ravi, Daniel M. Rotroff, Jun Ma, Ali Shojaie, & Alison A. Motsinger‐Reif. (2018). Gene set analysis methods: a systematic comparison. BioData Mining. 11(1). 8–8. 59 indexed citations

6.

Land, Walker H., et al.. (2013). Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. Procedia Computer Science. 20. 374–378. 5 indexed citations

7.

Mathur, Ravi, et al.. (2011). Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets. Procedia Computer Science. 6. 153–158. 2 indexed citations

8.

Land, Walker H., Ravi Mathur, John Heine, et al.. (2011). Partial Least Squares (PLS) Applied to Medical Bioinformatics. Procedia Computer Science. 6. 273–278. 26 indexed citations

9.

Mathur, Ravi, et al.. (2011). Perturbation and candidate analysis to combat overfitting of gene expression microarray data. International Journal of Computational Biology and Drug Design. 4(4). 307–307. 2 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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