William Dunker

428 total citations
10 papers, 301 citations indexed

About

William Dunker is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, William Dunker has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in William Dunker's work include Cytomegalovirus and herpesvirus research (4 papers), interferon and immune responses (3 papers) and RNA modifications and cancer (3 papers). William Dunker is often cited by papers focused on Cytomegalovirus and herpesvirus research (4 papers), interferon and immune responses (3 papers) and RNA modifications and cancer (3 papers). William Dunker collaborates with scholars based in United States and China. William Dunker's co-authors include John Karijolich, Yang Zhao, Xiang Ye, Yu Song, Yi‐Tao Yu, Rachel A. Hongo, Gyan Bhanot, Shridar Ganesan, Anshuman Panda and Kathryn E. Beckermann and has published in prestigious journals such as Nature Communications, Cell Reports and Viruses.

In The Last Decade

William Dunker

10 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Dunker United States	8	215	125	55	52	52	10	301
Christopher Bianco United States	6	267 1.2×	75 0.6×	35 0.6×	115 2.2×	64 1.2×	6	345
Huifang Xian China	8	182 0.8×	144 1.2×	40 0.7×	64 1.2×	86 1.7×	9	292
Riley Williams United States	6	292 1.4×	152 1.2×	37 0.7×	32 0.6×	49 0.9×	6	377
Daniel Eng Thiam Teo Singapore	5	403 1.9×	226 1.8×	65 1.2×	27 0.5×	47 0.9×	6	475
Tian-Chen Xiong China	6	213 1.0×	235 1.9×	55 1.0×	45 0.9×	64 1.2×	10	357
Du Cheng China	10	134 0.6×	73 0.6×	53 1.0×	40 0.8×	68 1.3×	13	304
Roli Mandhana United States	6	156 0.7×	225 1.8×	103 1.9×	66 1.3×	53 1.0×	7	383
Shujuan Du China	10	119 0.6×	63 0.5×	95 1.7×	61 1.2×	51 1.0×	26	280
Taeyun A. Lee South Korea	11	189 0.9×	174 1.4×	23 0.4×	45 0.9×	157 3.0×	13	389
Matthias J Scherr Germany	7	352 1.6×	130 1.0×	21 0.4×	15 0.3×	26 0.5×	8	406

Countries citing papers authored by William Dunker

Since Specialization

Citations

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

Fields of papers citing papers by William Dunker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Dunker

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

All Works

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10 of 10 papers shown

1.

Ye, Xiang, William Dunker, Yang Zhao, et al.. (2024). Enhancer-promoter activation by the Kaposi sarcoma-associated herpesvirus episome maintenance protein LANA. Cell Reports. 43(3). 113888–113888. 5 indexed citations

2.

Dunker, William, et al.. (2023). The proto-oncogene SRC phosphorylates cGAS to inhibit an antitumor immune response. JCI Insight. 8(12). 6 indexed citations

3.

Ye, Xiang, et al.. (2023). The cellular and KSHV A-to-I RNA editome in primary effusion lymphoma and its role in the viral lifecycle. Nature Communications. 14(1). 1367–1367. 14 indexed citations

4.

Dunker, William, et al.. (2021). TDP-43 prevents endogenous RNAs from triggering a lethal RIG-I-dependent interferon response. Cell Reports. 35(2). 108976–108976. 35 indexed citations

5.

Cubas, Aguirre A. de, William Dunker, Rachel A. Hongo, et al.. (2020). DNA hypomethylation promotes transposable element expression and activation of immune signaling in renal cell cancer. JCI Insight. 5(11). 46 indexed citations

6.

Zhao, Yang, et al.. (2020). The RNA quality control pathway nonsense-mediated mRNA decay targets cellular and viral RNAs to restrict KSHV. Nature Communications. 11(1). 3345–3345. 28 indexed citations

7.

Zhao, Yang, William Dunker, Yi‐Tao Yu, & John Karijolich. (2018). The Role of Noncoding RNA Pseudouridylation in Nuclear Gene Expression Events. Frontiers in Bioengineering and Biotechnology. 6. 8–8. 33 indexed citations

8.

Zhao, Yang, Xiang Ye, William Dunker, Yu Song, & John Karijolich. (2018). RIG-I like receptor sensing of host RNAs facilitates the cell-intrinsic immune response to KSHV infection. Nature Communications. 9(1). 4841–4841. 115 indexed citations

9.

Dunker, William, Yu Song, Yang Zhao, & John Karijolich. (2018). FUS Negatively Regulates Kaposi’s Sarcoma-Associated Herpesvirus Gene Expression. Viruses. 10(7). 359–359. 9 indexed citations

10.

Dunker, William, Yang Zhao, Yu Song, & John Karijolich. (2017). Recognizing the SINEs of Infection: Regulation of Retrotransposon Expression and Modulation of Host Cell Processes. Viruses. 9(12). 386–386. 10 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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