J.M. Vargason

1.2k total citations
11 papers, 935 citations indexed

About

J.M. Vargason is a scholar working on Molecular Biology, Ecology and Physical and Theoretical Chemistry. According to data from OpenAlex, J.M. Vargason has authored 11 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Physical and Theoretical Chemistry. Recurrent topics in J.M. Vargason's work include RNA and protein synthesis mechanisms (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Genomics and Chromatin Dynamics (4 papers). J.M. Vargason is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Genomics and Chromatin Dynamics (4 papers). J.M. Vargason collaborates with scholars based in United States and Hungary. J.M. Vargason's co-authors include P Shing Ho, György Szittya, József Burgyán, Traci M. Tanaka Hall, Brandt F. Eichman, Blaine H. M. Mooers, Keith Henderson, Franklin A. Hays, Tracy Camp and D. Lohr and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

J.M. Vargason

11 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.M. Vargason United States	8	626	350	113	88	65	11	935
E. N. Dobrov Russia	15	275 0.4×	247 0.7×	36 0.3×	219 2.5×	35 0.5×	39	592
Tiina Tamm Estonia	15	211 0.3×	293 0.8×	121 1.1×	103 1.2×	30 0.5×	31	529
John Robert Penswick Switzerland	9	1.2k 1.8×	331 0.9×	50 0.4×	113 1.3×	13 0.2×	10	1.4k
G.L. Lokesh United States	19	442 0.7×	181 0.5×	47 0.4×	161 1.8×	5 0.1×	34	804
George W. Rushizky United States	21	1.0k 1.6×	138 0.4×	27 0.2×	181 2.1×	35 0.5×	50	1.2k
Connor F. McGrath United States	15	523 0.8×	66 0.2×	22 0.2×	55 0.6×	15 0.2×	21	1.0k
William Ginoza United States	16	377 0.6×	208 0.6×	32 0.3×	170 1.9×	12 0.2×	27	675
Goutam Das Bangladesh	11	494 0.8×	60 0.2×	49 0.4×	36 0.4×	25 0.4×	35	652
James B. Ifft United States	11	388 0.6×	73 0.2×	17 0.2×	99 1.1×	31 0.5×	22	656
Anne Lecroisey France	18	685 1.1×	52 0.1×	73 0.6×	30 0.3×	9 0.1×	25	993

Countries citing papers authored by J.M. Vargason

Since Specialization

Citations

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

Fields of papers citing papers by J.M. Vargason

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Vargason. 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 J.M. Vargason. The network helps show where J.M. Vargason may publish in the future.

Co-authorship network of co-authors of J.M. Vargason

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

All Works

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11 of 11 papers shown

Vargason, J.M., et al.. (2013). Identification and RNA binding characterization of plant virus RNA silencing suppressor proteins. Methods. 64(1). 88–93. 1 indexed citations

Vargason, J.M., et al.. (2013). How Does Atomic Structure Affect Electron Clouds? A Guided-Inquiry NMR Laboratory for General Chemistry. Journal of Chemical Education. 90(7). 926–929. 6 indexed citations

Vargason, J.M., et al.. (2004). Distributions of Z-DNA and nuclear factor I in human chromosome 22: a model for coupled transcriptional regulation. Nucleic Acids Research. 32(22). 6501–6510. 62 indexed citations

Vargason, J.M., György Szittya, József Burgyán, & Traci M. Tanaka Hall. (2003). Size Selective Recognition of siRNA by an RNA Silencing Suppressor. Cell. 115(7). 799–811. 434 indexed citations

Hays, Franklin A., J.M. Vargason, & P Shing Ho. (2003). Effect of Sequence on the Conformation of DNA Holliday Junctions. Biochemistry. 42(32). 9586–9597. 54 indexed citations

Vargason, J.M. & P Shing Ho. (2002). The Effect of Cytosine Methylation on the Structure and Geometry of the Holliday Junction. Journal of Biological Chemistry. 277(23). 21041–21049. 22 indexed citations

Vargason, J.M., Keith Henderson, & P Shing Ho. (2001). A crystallographic map of the transition from B-DNA to A-DNA. Proceedings of the National Academy of Sciences. 98(13). 7265–7270. 98 indexed citations

Vargason, J.M. & P Shing Ho. (2001). . Nature Structural Biology. 8(2). 107–108. 1 indexed citations

Bash, R., et al.. (2001). Intrinsically Bent DNA in the Promoter Regions of the Yeast GAL1–10 and GAL80 Genes. Journal of Biological Chemistry. 276(2). 861–866. 15 indexed citations

10.

Ho, P Shing, J.M. Vargason, & Brandt F. Eichman. (2000). The extended and eccentric E-DNA structure induced by cytosine methylation or bromination.. Nature Structural Biology. 7(9). 758–761. 48 indexed citations

11.

Eichman, Brandt F., J.M. Vargason, Blaine H. M. Mooers, & P Shing Ho. (2000). The Holliday junction in an inverted repeat DNA sequence: Sequence effects on the structure of four-way junctions. Proceedings of the National Academy of Sciences. 97(8). 3971–3976. 194 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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