Brian A. Wadugu

650 total citations
8 papers, 491 citations indexed

About

Brian A. Wadugu is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Brian A. Wadugu has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Cancer Research. Recurrent topics in Brian A. Wadugu's work include RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (3 papers) and RNA modifications and cancer (2 papers). Brian A. Wadugu is often cited by papers focused on RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (3 papers) and RNA modifications and cancer (2 papers). Brian A. Wadugu collaborates with scholars based in United States and China. Brian A. Wadugu's co-authors include Bernhard Kühn, Matthew J. Walter, Brian D. Polizzotti, Sangita Choudhury, Balakrishnan Ganapathy, Kevin Bersell, Shima Arab, Stuart Walsh, Timothy A. Graubert and Cara Lunn Shirai and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Cell.

In The Last Decade

Brian A. Wadugu

8 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian A. Wadugu United States	6	395	123	97	57	55	8	491
Huixing Zhou China	11	268 0.7×	126 1.0×	52 0.5×	53 0.9×	19 0.3×	45	366
Priti Anand United States	5	538 1.4×	117 1.0×	104 1.1×	34 0.6×	19 0.3×	5	612
Hazel T. Salunga United States	4	443 1.1×	44 0.4×	124 1.3×	36 0.6×	34 0.6×	4	537
Jean-Luc Schwachtgen France	7	218 0.6×	91 0.7×	39 0.4×	65 1.1×	17 0.3×	7	436
Jeremy G. T. Wurtzel United States	12	300 0.8×	117 1.0×	31 0.3×	140 2.5×	22 0.4×	21	485
Véronique Dubernard France	12	147 0.4×	219 1.8×	37 0.4×	82 1.4×	64 1.2×	20	430
D. Alice United States	11	249 0.6×	277 2.3×	24 0.2×	16 0.3×	116 2.1×	24	602
Anupreet Kour United States	6	93 0.2×	129 1.0×	39 0.4×	37 0.6×	83 1.5×	9	267
Christelle Perrault France	8	86 0.2×	174 1.4×	25 0.3×	55 1.0×	59 1.1×	10	329
Sonali P. Patil United States	3	111 0.3×	220 1.8×	73 0.8×	21 0.4×	15 0.3×	5	368

Countries citing papers authored by Brian A. Wadugu

Since Specialization

Citations

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

Fields of papers citing papers by Brian A. Wadugu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian A. Wadugu

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

All Works

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8 of 8 papers shown

Li, Shan, Sridhar Nonavinkere Srivatsan, Yuhao Chen, et al.. (2021). Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations. Cancer Research. 81(17). 4499–4513. 37 indexed citations

Wadugu, Brian A., Sridhar Nonavinkere Srivatsan, Amanda Heard, et al.. (2021). U2af1 is a haplo-essential gene required for hematopoietic cancer cell survival in mice. Journal of Clinical Investigation. 131(21). 12 indexed citations

Alberti, Michael O., Sridhar Nonavinkere Srivatsan, Jin Shao, et al.. (2019). Mutant U2AF1S34F and U2AF1Q157P Induce Distinct RNA Splicing and Hematopoietic Phenotypes In Vivo. Blood. 134(Supplement_1). 770–770. 2 indexed citations

Shirai, Cara Lunn, James N. Ley, Brian S. White, et al.. (2015). Mutant U2AF1 Expression Alters Hematopoiesis and Pre-mRNA Splicing In Vivo. Cancer Cell. 27(5). 631–643. 211 indexed citations

Shirai, Cara Lunn, James N. Ley, Brian S. White, et al.. (2014). Mutant U2AF1 Expression Alters Hematopoiesis and Pre-mRNA Splicing in Transgenic Mice. Blood. 124(21). 827–827. 4 indexed citations

Bersell, Kevin, Sangita Choudhury, Brian D. Polizzotti, et al.. (2013). Moderate and high amounts of tamoxifen in α-MHC-MerCreMer mice induce a DNA damage response, leading to heart failure and death. Disease Models & Mechanisms. 6(6). 1459–69. 118 indexed citations

Wadugu, Brian A. & Bernhard Kühn. (2012). The role of neuregulin/ErbB2/ErbB4 signaling in the heart with special focus on effects on cardiomyocyte proliferation. American Journal of Physiology-Heart and Circulatory Physiology. 302(11). H2139–H2147. 99 indexed citations

Wadugu, Brian A., Christopher Ng, Bethany L. Bartley, Rebecca J. Rowe, & Julie T. Millard. (2009). DNA Interstrand Cross-Linking Activity of (1-Chloroethenyl)oxirane, a Metabolite of β-chloroprene. Chemical Research in Toxicology. 23(1). 235–239. 8 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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