B Wold

73.1k total citations · 8 hit papers
114 papers, 38.6k citations indexed

About

B Wold is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, B Wold has authored 114 papers receiving a total of 38.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in B Wold's work include RNA Research and Splicing (24 papers), Genomics and Chromatin Dynamics (21 papers) and Muscle Physiology and Disorders (19 papers). B Wold is often cited by papers focused on RNA Research and Splicing (24 papers), Genomics and Chromatin Dynamics (21 papers) and Muscle Physiology and Disorders (19 papers). B Wold collaborates with scholars based in United States, Germany and Canada. B Wold's co-authors include A Mortazavi, Brian A. Williams, Lorian Schaeffer, Kenneth McCue, Lior Pachter, Steven L. Salzberg, Geo Pertea, Marijke J. van Baren, Cole Trapnell and R Myers and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

B Wold

112 papers receiving 37.8k citations

Hit Papers

Transcript assembly and quan... 1979 2026 1994 2010 2010 2008 2007 1979 1989 2.5k 5.0k 7.5k 10.0k
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.

  1. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
    2010 11.7k citations Cole Trapnell, Brian A. Williams et al. Nature Biotechnology profile →
  2. Mapping and quantifying mammalian transcriptomes by RNA-Seq
    2008 10.6k citations A Mortazavi, Brian A. Williams et al. profile →
  3. Genome-Wide Mapping of in Vivo Protein-DNA Interactions
    2007 2.0k citations A Mortazavi, R Myers et al. profile →
  4. Transformation of mammalian cells with genes from procaryotes and eucaryotes
    1979 1.3k citations B Wold et al. Cell profile →
  5. In Vivo Footprinting of a Muscle Specific Enhancer by Ligation Mediated PCR
    1989 860 citations B Wold et al. profile →
  6. Single-Cell Analysis of Regulatory Gene Expression in Quiescent and Activated Mouse Skeletal Muscle Satellite Cells
    1997 731 citations DDW Cornelison, B Wold Developmental Biology profile →
  7. Enhanced Proliferation, Survival, and Dopaminergic Differentiation of CNS Precursors in Lowered Oxygen
    2000 573 citations Marie Csete, B Wold et al. profile →
  8. Dynamic DNA methylation across diverse human cell lines and tissues
    2013 512 citations Katherine E. Varley, Jason Gertz et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B Wold United States 59 27.6k 6.9k 5.6k 5.3k 3.0k 114 38.6k
J. Michael Cherry United States 35 29.4k 1.1× 4.9k 0.7× 5.4k 1.0× 4.0k 0.8× 2.8k 0.9× 95 40.4k
Janan T. Eppig United States 42 26.6k 1.0× 3.9k 0.6× 5.9k 1.1× 3.8k 0.7× 2.8k 0.9× 109 37.4k
Kara Dolinski United States 31 28.8k 1.0× 3.8k 0.6× 4.6k 0.8× 3.7k 0.7× 2.8k 0.9× 44 38.7k
Catherine A. Ball United States 29 25.2k 0.9× 3.7k 0.5× 4.6k 0.8× 3.6k 0.7× 2.5k 0.8× 48 35.3k
Joel E. Richardson United States 35 24.3k 0.9× 3.6k 0.5× 4.6k 0.8× 3.5k 0.7× 2.6k 0.9× 81 34.7k
Martin Ringwald United States 29 24.5k 0.9× 3.5k 0.5× 4.2k 0.7× 3.4k 0.6× 2.5k 0.8× 57 33.8k
David P. Hill United States 28 23.6k 0.9× 3.6k 0.5× 4.1k 0.7× 3.4k 0.6× 2.4k 0.8× 55 33.3k
Allan Peter Davis United States 32 25.8k 0.9× 3.5k 0.5× 4.4k 0.8× 3.7k 0.7× 2.7k 0.9× 55 36.5k
Mark D. Robinson Switzerland 57 29.2k 1.1× 6.7k 1.0× 5.5k 1.0× 7.4k 1.4× 5.5k 1.8× 173 46.9k
Midori A. Harris United Kingdom 24 23.7k 0.9× 3.6k 0.5× 4.0k 0.7× 3.4k 0.6× 2.4k 0.8× 44 32.8k

Countries citing papers authored by B Wold

Since Specialization
Citations

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

Fields of papers citing papers by B Wold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B Wold

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

All Works

20 of 20 papers shown
1.
Sullivan, Delaney K., Fairlie Reese, Narges Rezaie, et al.. (2025). Long-read sequencing transcriptome quantification with lr-kallisto. PLoS Computational Biology. 21(12). e1013692–e1013692.
2.
Polonsky, Michal, Louisa M.S. Gerhardt, Jina Yun, et al.. (2024). Spatial transcriptomics defines injury specific microenvironments and cellular interactions in kidney regeneration and disease. Nature Communications. 15(1). 7010–7010. 25 indexed citations
3.
Kirby, Emily, Alexander Bernier, Roderic Guigó, et al.. (2024). Data sharing ethics toolkit: The Human Cell Atlas. Nature Communications. 15(1). 9901–9901. 4 indexed citations
4.
He, Peng, Brian A. Williams, Diane Trout, et al.. (2020). The changing mouse embryo transcriptome at whole tissue and single-cell resolution. Nature. 583(7818). 760–767. 97 indexed citations
5.
Angeles-Albores, David, et al.. (2018). Reconstructing a metazoan genetic pathway with transcriptome-wide epistasis measurements. Proceedings of the National Academy of Sciences. 115(13). E2930–E2939. 17 indexed citations
6.
Marinov, Georgi K., Brian A. Williams, Gary P. Schroth, et al.. (2013). From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing. Genome Research. 24(3). 496–510. 340 indexed citations
7.
Kuntz, Steven, Brian A. Williams, Paul W. Sternberg, & B Wold. (2012). Transcription factor redundancy and tissue-specific regulation: Evidence from functional and physical network connectivity. Genome Research. 22(10). 1907–1919. 13 indexed citations
8.
Park, Eddie, Brian A. Williams, B Wold, & A Mortazavi. (2012). RNA editing in the human ENCODE RNA-seq data. Genome Research. 22(9). 1626–1633. 122 indexed citations
9.
Reddy, Timothy E., Jason Gertz, Florencia Pauli, et al.. (2012). Effects of sequence variation on differential allelic transcription factor occupancy and gene expression. Genome Research. 22(5). 860–869. 111 indexed citations
10.
Budd, Martin E., Igor Antoshechkin, Clara C. Reis, B Wold, & Judith L. Campbell. (2011). Inviability of a DNA2 deletion mutant is due to the DNA damage checkpoint. Cell Cycle. 10(10). 1690–1698. 31 indexed citations
11.
Özdemir, Anıl, Katherine Fisher-Aylor, Shirley Pepke, et al.. (2011). High resolution mapping of Twist to DNA in Drosophila embryos: Efficient functional analysis and evolutionary conservation. Genome Research. 21(4). 566–577. 40 indexed citations
12.
Trapnell, Cole, Brian A. Williams, Geo Pertea, et al.. (2010). Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nature Biotechnology. 28(5). 511–515. 11696 indexed citations breakdown →
13.
Brown, C. Titus, Alistair G. Rust, Peter Clarke, et al.. (2002). New Computational Approaches for Analysis of cis-Regulatory Networks. Developmental Biology. 246(1). 86–102. 86 indexed citations
14.
Csete, Marie, et al.. (2001). Oxygen‐mediated regulation of skeletal muscle satellite cell proliferation and adipogenesis in culture. Journal of Cellular Physiology. 189(2). 189–196. 189 indexed citations
15.
Yoon, Jeong Kyo & B Wold. (2000). The bHLH regulator pMesogenin1 is required for maturation and segmentation of paraxial mesoderm. Genes & Development. 14(24). 3204–3214. 86 indexed citations
16.
Cornelison, DDW, Bradley B. Olwin, Michael A. Rudnicki, & B Wold. (2000). MyoD−/− Satellite Cells in Single-Fiber Culture Are Differentiation Defective and MRF4 Deficient. Developmental Biology. 224(2). 122–137. 224 indexed citations
17.
Mjolsness, Eric, Tobias Mann, Rebecca Castaño, & B Wold. (1999). From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data. CaltechAUTHORS (California Institute of Technology). 12. 928–934. 36 indexed citations
18.
Olson, Eric N., Hans-Henning Arnold, Peter Rigby, & B Wold. (1996). Know Your Neighbors: Three Phenotypes in Null Mutants of the Myogenic bHLH Gene MRF4. Cell. 85(1). 1–4. 496 indexed citations
19.
Miner, Jeffrey H. & B Wold. (1991). c-myc Inhibition of MyoD and Myogenin-Initiated Myogenic Differentiation. Molecular and Cellular Biology. 11(5). 2842–2851. 46 indexed citations
20.
Johnson, Jane E., B Wold, & Stephen D. Hauschka. (1989). Muscle Creatine Kinase Sequence Elements Regulating Skeletal and Cardiac Muscle Expression in Transgenic Mice. Molecular and Cellular Biology. 9(8). 3393–3399. 182 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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