Roger Volden

721 total citations
9 papers, 375 citations indexed

About

Roger Volden is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Roger Volden has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Ecology. Recurrent topics in Roger Volden's work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Roger Volden is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Roger Volden collaborates with scholars based in United States. Roger Volden's co-authors include Christopher Vollmers, Ashley Byrne, Charles N. Cole, Robert J. Schmitz, Richard E. Green, Matthew S. Adams, Megan A. Supple, Beth Shapiro, Kristin L. Laidre and Angela N. Brooks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer Research.

In The Last Decade

Roger Volden

9 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger Volden United States 7 319 104 44 31 31 9 375
Kévin Gorrichon France 4 233 0.7× 106 1.0× 56 1.3× 27 0.9× 20 0.6× 6 266
Karina Jouravleva United States 10 335 1.1× 95 0.9× 34 0.8× 22 0.7× 50 1.6× 15 400
Jean‐Michel Garant Canada 15 657 2.1× 108 1.0× 20 0.5× 27 0.9× 32 1.0× 17 707
Mary Anne Kidwell United States 7 626 2.0× 220 2.1× 38 0.9× 28 0.9× 40 1.3× 7 680
Haridha Shivram United States 10 364 1.1× 33 0.3× 20 0.5× 40 1.3× 36 1.2× 15 420
Irina A. Shagina Russia 13 226 0.7× 67 0.6× 72 1.6× 29 0.9× 71 2.3× 32 356
Laraib Malik United States 7 229 0.7× 56 0.5× 40 0.9× 19 0.6× 35 1.1× 10 283
Tuhin K. Guha Canada 8 255 0.8× 55 0.5× 40 0.9× 13 0.4× 51 1.6× 14 352
Vidya Balagopal United States 8 441 1.4× 32 0.3× 26 0.6× 10 0.3× 44 1.4× 9 491
Rachel O. Niederer United States 8 414 1.3× 89 0.9× 23 0.5× 13 0.4× 21 0.7× 11 450

Countries citing papers authored by Roger Volden

Since Specialization
Citations

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

Fields of papers citing papers by Roger Volden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Volden

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

All Works

9 of 9 papers shown
1.
Tang, Alison D., et al.. (2024). Detecting haplotype-specific transcript variation in long reads with FLAIR2. Genome biology. 25(1). 173–173. 4 indexed citations
2.
Volden, Roger, et al.. (2023). Identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads with Mandalorion. Genome biology. 24(1). 167–167. 16 indexed citations
3.
Volden, Roger, Zev Kronenberg, Michael J. Monument, et al.. (2023). Abstract LB078: pbfusion: Detecting gene-fusion and other transcriptional abnormalities using PacBio HiFi data. Cancer Research. 83(8_Supplement). LB078–LB078. 4 indexed citations
4.
Volden, Roger & Christopher Vollmers. (2022). Single-cell isoform analysis in human immune cells. Genome biology. 23(1). 47–47. 28 indexed citations
5.
Cole, Charles N., Ashley Byrne, Matthew S. Adams, Roger Volden, & Christopher Vollmers. (2020). Complete characterization of the human immune cell transcriptome using accurate full-length cDNA sequencing. Genome Research. 30(4). 589–601. 39 indexed citations
6.
Byrne, Ashley, Megan A. Supple, Roger Volden, et al.. (2019). Depletion of Hemoglobin Transcripts and Long-Read Sequencing Improves the Transcriptome Annotation of the Polar Bear (Ursus maritimus). Frontiers in Genetics. 10. 643–643. 19 indexed citations
7.
Byrne, Ashley, Charles N. Cole, Roger Volden, & Christopher Vollmers. (2019). Realizing the potential of full-length transcriptome sequencing. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1786). 20190097–20190097. 88 indexed citations
8.
Volden, Roger, Ashley Byrne, Charles N. Cole, et al.. (2018). Improving nanopore read accuracy with the R2C2 method enables the sequencing of highly multiplexed full-length single-cell cDNA. Proceedings of the National Academy of Sciences. 115(39). 9726–9731. 155 indexed citations
9.
Cole, Charles N., et al.. (2016). Highly Accurate Sequencing of Full-Length Immune Repertoire Amplicons Using Tn5-Enabled and Molecular Identifier–Guided Amplicon Assembly. The Journal of Immunology. 196(6). 2902–2907. 22 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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