James P. Broughton

6.0k total citations · 3 hit papers
15 papers, 4.2k citations indexed

About

James P. Broughton is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, James P. Broughton has authored 15 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Infectious Diseases. Recurrent topics in James P. Broughton's work include RNA modifications and cancer (6 papers), CRISPR and Genetic Engineering (5 papers) and MicroRNA in disease regulation (5 papers). James P. Broughton is often cited by papers focused on RNA modifications and cancer (6 papers), CRISPR and Genetic Engineering (5 papers) and MicroRNA in disease regulation (5 papers). James P. Broughton collaborates with scholars based in United States and China. James P. Broughton's co-authors include Howard Y. Chang, Janice S. Chen, Alicia Sotomayor-González, Jessica Streithorst, Charles Y. Chiu, Venice Servellita, Clare L. Fasching, Steve Miller, Guixia Yu and Kelsey C. Zorn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

James P. Broughton

15 papers receiving 4.2k citations

Hit Papers

CRISPR–Cas12-based detection of SARS-CoV-2 2017 2026 2020 2023 2020 2017 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James P. Broughton United States 13 3.5k 1.3k 1.1k 953 231 15 4.2k
Emily N. Gallichotte United States 17 1.5k 0.4× 927 0.7× 752 0.7× 471 0.5× 688 3.0× 50 2.9k
Clare L. Fasching United States 19 2.8k 0.8× 246 0.2× 1.0k 0.9× 960 1.0× 202 0.9× 26 3.9k
Zhen Lin United States 29 1.6k 0.5× 998 0.8× 446 0.4× 331 0.3× 70 0.3× 76 3.0k
Zhenhua Zheng China 28 933 0.3× 204 0.2× 585 0.5× 218 0.2× 218 0.9× 114 2.1k
George J. Klarmann United States 19 1.1k 0.3× 195 0.2× 693 0.6× 314 0.3× 27 0.1× 37 2.3k
James M. Burke United States 31 1.6k 0.5× 333 0.3× 838 0.8× 301 0.3× 93 0.4× 82 3.8k
Ryan Tewhey United States 23 1.2k 0.3× 163 0.1× 325 0.3× 185 0.2× 148 0.6× 32 2.0k
Leonid Gitlin United States 16 1.1k 0.3× 166 0.1× 501 0.5× 161 0.2× 93 0.4× 18 2.4k
Giovanni Faggioni Italy 18 578 0.2× 127 0.1× 513 0.5× 317 0.3× 242 1.0× 51 1.3k
William M. Rehrauer United States 26 2.0k 0.6× 188 0.1× 415 0.4× 184 0.2× 61 0.3× 55 3.5k

Countries citing papers authored by James P. Broughton

Since Specialization
Citations

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

Fields of papers citing papers by James P. Broughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Broughton. 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 James P. Broughton. The network helps show where James P. Broughton may publish in the future.

Co-authorship network of co-authors of James P. Broughton

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

All Works

15 of 15 papers shown
1.
Fasching, Clare L., Venice Servellita, James P. Broughton, et al.. (2022). COVID-19 Variant Detection with a High-Fidelity CRISPR-Cas12 Enzyme. Journal of Clinical Microbiology. 60(7). e0026122–e0026122. 31 indexed citations
2.
Verosloff, Matthew S., et al.. (2021). CRISPR‐Cas enzymes: The toolkit revolutionizing diagnostics. Biotechnology Journal. 17(7). e2100304–e2100304. 4 indexed citations
3.
Xiao, Yiren, Kaushik N. Thakkar, Hongjuan Zhao, et al.. (2020). The m 6 A RNA demethylase FTO is a HIF-independent synthetic lethal partner with the VHL tumor suppressor. Proceedings of the National Academy of Sciences. 117(35). 21441–21449. 88 indexed citations
4.
Broughton, James P., Xianding Deng, Guixia Yu, et al.. (2020). CRISPR–Cas12-based detection of SARS-CoV-2. Nature Biotechnology. 38(7). 870–874. 1994 indexed citations breakdown →
5.
Carter, Ava C., Jin Xu, Yuning Wei, et al.. (2020). Spen links RNA-mediated endogenous retrovirus silencing and X chromosome inactivation. eLife. 9. 37 indexed citations
6.
Sun, Lei, Furqan M. Fazal, Pan Li, et al.. (2019). RNA structure maps across mammalian cellular compartments. Nature Structural & Molecular Biology. 26(4). 322–330. 173 indexed citations
7.
Chen, Y. Grace, Robert Chen, Sadeem Ahmad, et al.. (2019). N6-Methyladenosine Modification Controls Circular RNA Immunity. Molecular Cell. 76(1). 96–109.e9. 431 indexed citations breakdown →
8.
Tong, Jiyu, Guangchao Cao, Esen Sefik, et al.. (2018). m6A mRNA methylation sustains Treg suppressive functions. Cell Research. 28(2). 253–256. 280 indexed citations
9.
Aalto, Antti, et al.. (2018). Opposing roles of microRNA Argonautes during Caenorhabditis elegans aging. PLoS Genetics. 14(6). e1007379–e1007379. 34 indexed citations
10.
Broughton, James P. & Amy E. Pasquinelli. (2018). Detection of microRNA-Target Interactions by Chimera PCR (ChimP). Methods in molecular biology. 1823. 153–165. 3 indexed citations
11.
Li, Huabing, Jiyu Tong, Shu Zhu, et al.. (2017). m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways. Nature. 548(7667). 338–342. 707 indexed citations breakdown →
12.
Broughton, James P., et al.. (2016). Pairing beyond the Seed Supports MicroRNA Targeting Specificity. Molecular Cell. 64(2). 320–333. 341 indexed citations
13.
Broughton, James P. & Amy E. Pasquinelli. (2016). A tale of two sequences: microRNA-target chimeric reads. Genetics Selection Evolution. 48(1). 31–31. 18 indexed citations
14.
Broughton, James P. & Amy E. Pasquinelli. (2013). Identifying Argonaute binding sites in Caenorhabditis elegans using iCLIP. Methods. 63(2). 119–125. 26 indexed citations
15.
Taylor, R. Travis, Kirk J. Lubick, Shelly J. Robertson, et al.. (2011). TRIM79α, an Interferon-Stimulated Gene Product, Restricts Tick-Borne Encephalitis Virus Replication by Degrading the Viral RNA Polymerase. Cell Host & Microbe. 10(3). 185–196. 75 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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