JJ L. Miranda

1.0k total citations
30 papers, 792 citations indexed

About

JJ L. Miranda is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, JJ L. Miranda has authored 30 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in JJ L. Miranda's work include Viral-associated cancers and disorders (11 papers), Hemoglobin structure and function (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). JJ L. Miranda is often cited by papers focused on Viral-associated cancers and disorders (11 papers), Hemoglobin structure and function (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). JJ L. Miranda collaborates with scholars based in United States, Italy and Philippines. JJ L. Miranda's co-authors include Stephen C. Harrison, Peter K. Sorger, Peter De Wulf, Ulla N. Andersen, Kenneth N. Raymond, Marco Ziegler, Darren W. Johnson, Julie A. Leary, David S. King and Stephanie Moquin and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Virology.

In The Last Decade

JJ L. Miranda

30 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
JJ L. Miranda United States	17	451	299	160	115	100	30	792
Marie‐Pierre Golinelli‐Cohen France	21	712 1.6×	201 0.7×	69 0.4×	56 0.5×	33 0.3×	48	1.2k
Carla C. Oliveira Brazil	21	1.0k 2.3×	67 0.2×	206 1.3×	61 0.5×	139 1.4×	48	1.4k
Anthony P. Duff Australia	19	694 1.5×	143 0.5×	75 0.5×	37 0.3×	44 0.4×	48	963
Leonard M. G. Chavas Japan	16	523 1.2×	135 0.5×	42 0.3×	40 0.3×	123 1.2×	43	785
Will A. Stanley Germany	17	969 2.1×	142 0.5×	132 0.8×	164 1.4×	89 0.9×	27	1.2k
Michel Fodje Canada	13	576 1.3×	87 0.3×	46 0.3×	58 0.5×	43 0.4×	24	751
Linda Tennant United States	16	1.1k 2.5×	246 0.8×	128 0.8×	33 0.3×	110 1.1×	19	1.4k
Ching‐Ting Chien Taiwan	8	427 0.9×	85 0.3×	39 0.2×	73 0.6×	145 1.4×	9	723
Peijian Zou Germany	19	612 1.4×	92 0.3×	52 0.3×	68 0.6×	20 0.2×	33	956
Gregory M. Lee United States	14	728 1.6×	59 0.2×	101 0.6×	31 0.3×	62 0.6×	21	948

Countries citing papers authored by JJ L. Miranda

Since Specialization

Citations

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

Fields of papers citing papers by JJ L. Miranda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JJ L. Miranda. 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 JJ L. Miranda. The network helps show where JJ L. Miranda may publish in the future.

Co-authorship network of co-authors of JJ L. Miranda

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

All Works

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20 of 20 papers shown

Miranda, JJ L.. (2023). Single-Cell Transcriptomics of Epstein-Barr Virus and Human Herpesvirus 6 Coinfection. Microbiology Resource Announcements. 12(7). e0034223–e0034223. 1 indexed citations

Liu, Wendi, et al.. (2021). Rationally repurposed nitroxoline inhibits preclinical models of Epstein–Barr virus-associated lymphoproliferation. The Journal of Antibiotics. 74(10). 763–766. 6 indexed citations

Hughes, David J., et al.. (2020). The BHLF1 Locus of Epstein-Barr Virus Contributes to Viral Latency and B-Cell Immortalization. Journal of Virology. 94(17). 24 indexed citations

Moquin, Stephanie, Sean Thomas, Sean Whalen, et al.. (2017). The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation. Journal of Virology. 92(3). 46 indexed citations

Moquin, Stephanie, Kayla Martin, Shane McDevitt, et al.. (2017). PARP1 restricts Epstein Barr Virus lytic reactivation by binding the BZLF1 promoter. Virology. 507. 220–230. 35 indexed citations

Moquin, Stephanie, et al.. (2017). Bromodomain and extraterminal inhibitors block the Epstein-Barr virus lytic cycle at two distinct steps. Journal of Biological Chemistry. 292(32). 13284–13295. 28 indexed citations

Miranda, JJ L., et al.. (2017). RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation. Genomics Data. 13. 5–6. 2 indexed citations

Henderson, David, JJ L. Miranda, & Beverly M. Emerson. (2017). The β-NAD+ salvage pathway and PKC-mediated signaling influence localized PARP-1 activity and CTCF Poly(ADP)ribosylation. Oncotarget. 8(39). 64698–64713. 7 indexed citations

Miranda, JJ L., et al.. (2016). Epstein–Barr virus latency type and spontaneous reactivation predict lytic induction levels. Biochemical and Biophysical Research Communications. 474(1). 71–75. 21 indexed citations

10.

Holdorf, Meghan, Samantha Cooper, Keith R. Yamamoto, & JJ L. Miranda. (2011). Occupancy of chromatin organizers in the Epstein–Barr virus genome. Virology. 415(1). 1–5. 35 indexed citations

11.

Miranda, JJ L., et al.. (2010). CTCF terminal segments are unstructured. Protein Science. 19(5). 1110–1116. 19 indexed citations

12.

Corbett, Kevin D., Jawdat Al‐Bassam, John J. Bellizzi, et al.. (2010). Molecular Structures and Interactions in the Yeast Kinetochore. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 395–401. 7 indexed citations

13.

Campbell, Amy E., et al.. (2010). Molecular architecture of CTCFL. Biochemical and Biophysical Research Communications. 396(3). 648–650. 12 indexed citations

14.

Miranda, JJ L., David S. King, & Stephen C. Harrison. (2007). Protein Arms in the Kinetochore-Microtubule Interface of the Yeast DASH Complex. Molecular Biology of the Cell. 18(7). 2503–2510. 42 indexed citations

15.

Miranda, JJ L., et al.. (2005). Thermoglobin, Oxygen-avid Hemoglobin in a Bacterial Hyperthermophile. Journal of Biological Chemistry. 280(44). 36754–36761. 18 indexed citations

16.

Miranda, JJ L., Peter De Wulf, Peter K. Sorger, & Stephen C. Harrison. (2005). The yeast DASH complex forms closed rings on microtubules. Nature Structural & Molecular Biology. 12(2). 138–143. 218 indexed citations

17.

Miranda, JJ L.. (2003). Position‐dependent interactions between cysteine residues and the helix dipole. Protein Science. 12(1). 73–81. 34 indexed citations

18.

Williams, Katherine, JJ L. Miranda, Antti Kautiainen, et al.. (2002). Attomole Detection of in Vivo Protein Targets of Benzene in Mice. Molecular & Cellular Proteomics. 1(11). 885–895. 30 indexed citations

19.

Miranda, JJ L.. (2000). Highly Reactive Cysteine Residues in Rodent Hemoglobins. Biochemical and Biophysical Research Communications. 275(2). 517–523. 26 indexed citations

20.

Yu, Zhonghua, et al.. (1997). Structural characterization of human hemoglobin crosslinked by bis(3,5‐dibromosalicyl) fumarate using mass spectrometric techniques. Protein Science. 6(12). 2568–2577. 20 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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