John W. Backus

478 total citations
8 papers, 438 citations indexed

About

John W. Backus is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, John W. Backus has authored 8 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Epidemiology. Recurrent topics in John W. Backus's work include RNA regulation and disease (7 papers), RNA and protein synthesis mechanisms (6 papers) and CRISPR and Genetic Engineering (5 papers). John W. Backus is often cited by papers focused on RNA regulation and disease (7 papers), RNA and protein synthesis mechanisms (6 papers) and CRISPR and Genetic Engineering (5 papers). John W. Backus collaborates with scholars based in United States. John W. Backus's co-authors include Harold C. Smith, Charles E. Sparks, Janet D. Sparks, Shu‐Ru Kuo and Matthew J. Eagleton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John W. Backus

8 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John W. Backus United States	7	414	57	43	21	19	8	438
Kavita A. Marfatia United States	7	365 0.9×	15 0.3×	24 0.6×	17 0.8×	14 0.7×	7	400
Takeshi Tsusaka Japan	10	254 0.6×	45 0.8×	42 1.0×	8 0.4×	29 1.5×	14	349
Sabyasachi Baboo United States	8	255 0.6×	18 0.3×	28 0.7×	49 2.3×	19 1.0×	14	309
Michael Bergel Israel	9	301 0.7×	23 0.4×	45 1.0×	8 0.4×	24 1.3×	21	398
Tzvi Aviv Canada	3	255 0.6×	15 0.3×	24 0.6×	10 0.5×	16 0.8×	3	285
Sachiko Toma-Fukai Japan	9	256 0.6×	28 0.5×	28 0.7×	30 1.4×	13 0.7×	15	322
Jean‐Patrick Pommier France	4	210 0.5×	45 0.8×	40 0.9×	8 0.4×	18 0.9×	4	350
Virginia P. Ronchi United States	10	174 0.4×	31 0.5×	63 1.5×	19 0.9×	52 2.7×	12	264
Kaustav Das Gupta Australia	6	176 0.4×	35 0.6×	81 1.9×	9 0.4×	7 0.4×	8	266
Charles Romfo United States	11	660 1.6×	13 0.2×	11 0.3×	13 0.6×	17 0.9×	14	681

Countries citing papers authored by John W. Backus

Since Specialization

Citations

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

Fields of papers citing papers by John W. Backus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Backus. 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 John W. Backus. The network helps show where John W. Backus may publish in the future.

Co-authorship network of co-authors of John W. Backus

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Backus. A scholar is included among the top collaborators of John W. Backus 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 John W. Backus. John W. Backus 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

1.

Backus, John W., et al.. (1999). Tissue-Specific Differences in the Role of RNA 3′ of the Apolipoprotein B mRNA Mooring Sequence in Editosome Assembly. Biochemical and Biophysical Research Communications. 263(1). 81–86. 6 indexed citations

2.

Backus, John W., et al.. (1994). Only cytidines 5′ of the apolipoprotein B mRNA mooring sequence are edited. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1219(1). 1–14. 39 indexed citations

3.

Backus, John W. & Harold C. Smith. (1994). Specific 3′ sequences flanking a minimal apolipoprotein B (apoB) mRNA editing ‘cassette’ are critical for efficient editing in vitro. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1217(1). 54–64. 36 indexed citations

4.

Backus, John W., et al.. (1993). Extract-specific heterogeneity in high-order complexes containing apolipoprotein B mRNA editing activity and RNA-binding proteins.. Journal of Biological Chemistry. 268(10). 7382–7392. 98 indexed citations

5.

Backus, John W. & Harold C. Smith. (1992). Three distinct RNA sequence elements are required for efficient apolipoprotein B (apoB) RNA editingin vitro. Nucleic Acids Research. 20(22). 6007–6014. 82 indexed citations

6.

Backus, John W. & Harold C. Smith. (1991). Apolipoprotein B mRNA sequences 3′ of the editing site are necessary and sufficient for editing and editosome assembly. Nucleic Acids Research. 19(24). 6781–6786. 66 indexed citations

7.

Smith, Harold C., et al.. (1991). In vitro apolipoprotein B mRNA editing: identification of a 27S editing complex.. Proceedings of the National Academy of Sciences. 88(4). 1489–1493. 98 indexed citations

8.

Backus, John W., et al.. (1990). Quantitation of endogenous liver apolipoprotein B mRNA editing. Biochemical and Biophysical Research Communications. 170(2). 513–518. 13 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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