Robert D. Cauthron

434 total citations
8 papers, 362 citations indexed

About

Robert D. Cauthron is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Robert D. Cauthron has authored 8 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Robert D. Cauthron's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Biochemical and Molecular Research (3 papers) and Cellular transport and secretion (2 papers). Robert D. Cauthron is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Biochemical and Molecular Research (3 papers) and Cellular transport and secretion (2 papers). Robert D. Cauthron collaborates with scholars based in United States and Norway. Robert D. Cauthron's co-authors include Robert A. Steinberg, Hisato Shuntoh, Rodney J. Moreland, William M. Canfield, Kevin Brewer, Tim Edmunds, Xiaoying Jin, Dagfinn Øgreid, Mariko Kudo and Jianping Gan and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Gene.

In The Last Decade

Robert D. Cauthron

8 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert D. Cauthron United States	7	249	111	57	56	50	8	362
Lisa Hernandez‐Cuebas United States	5	235 0.9×	135 1.2×	29 0.5×	65 1.2×	22 0.4×	5	338
A.M. Lamhonwah Canada	7	284 1.1×	152 1.4×	21 0.4×	64 1.1×	145 2.9×	8	473
Edeltraut Hoffmann-Posorske Germany	11	422 1.7×	38 0.3×	36 0.6×	18 0.3×	105 2.1×	13	581
Slavko Čeru Slovenia	11	210 0.8×	173 1.6×	72 1.3×	6 0.1×	42 0.8×	11	370
Sabrina Vergnaud France	10	154 0.6×	108 1.0×	16 0.3×	28 0.5×	18 0.4×	18	378
Benjamin D. Stein United States	8	296 1.2×	23 0.2×	21 0.4×	26 0.5×	39 0.8×	10	421
Per Gøran Krüger Norway	13	200 0.8×	48 0.4×	15 0.3×	33 0.6×	29 0.6×	20	381
Norbert Zander Germany	11	356 1.4×	33 0.3×	95 1.7×	74 1.3×	41 0.8×	15	474
Sunqu Zhang Canada	10	255 1.0×	350 3.2×	22 0.4×	41 0.7×	224 4.5×	11	529
Adriane Schilling United States	9	179 0.7×	343 3.1×	54 0.9×	186 3.3×	149 3.0×	12	516

Countries citing papers authored by Robert D. Cauthron

Since Specialization

Citations

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

Fields of papers citing papers by Robert D. Cauthron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Cauthron. 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 Robert D. Cauthron. The network helps show where Robert D. Cauthron may publish in the future.

Co-authorship network of co-authors of Robert D. Cauthron

This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Cauthron. A scholar is included among the top collaborators of Robert D. Cauthron 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 Robert D. Cauthron. Robert D. Cauthron 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

Moreland, Rodney J., et al.. (2011). Species-specific differences in the processing of acid α-glucosidase are due to the amino acid identity at position 201. Gene. 491(1). 25–30. 8 indexed citations

Moreland, Rodney J., Xiaoying Jin, Robert D. Cauthron, et al.. (2004). Lysosomal Acid α-Glucosidase Consists of Four Different Peptides Processed from a Single Chain Precursor. Journal of Biological Chemistry. 280(8). 6780–6791. 109 indexed citations

Gan, Jianping, et al.. (1999). On the spontaneous mutability of CpG sites in cultured S49 mouse lymphoma cells.. Somatic Cell and Molecular Genetics. 25(3). 129–145. 6 indexed citations

Cauthron, Robert D., et al.. (1998). Physiological Phosphorylation of Protein Kinase A at Thr-197 Is by a Protein Kinase A Kinase. Molecular and Cellular Biology. 18(3). 1416–1423. 67 indexed citations

Cauthron, Robert D., et al.. (1995). Second‐site mutations in cyclic AMP‐Sensitive revertants of a K_a mutant of S49 mouse lymphoma cells reduce the affinity of regulatory subunit of cyclic AMP‐Dependent protein kinase for catalytic subunit. Journal of Cellular Physiology. 165(2). 376–385. 3 indexed citations

Cauthron, Robert D., et al.. (1994). Arg-242 is necessary for allosteric coupling of cyclic AMP-binding sites A and B of RI subunit of cyclic AMP-dependent protein kinase.. Journal of Biological Chemistry. 269(37). 23025–23031. 19 indexed citations

Steinberg, Robert A., et al.. (1993). Autoactivation of catalytic (C alpha) subunit of cyclic AMP-dependent protein kinase by phosphorylation of threonine 197.. Molecular and Cellular Biology. 13(4). 2332–2341. 120 indexed citations

Steinberg, Robert A., et al.. (1993). Autoactivation of Catalytic (Cα) Subunit of Cyclic AMP-Dependent Protein Kinase by Phosphorylation of Threonine 197. Molecular and Cellular Biology. 13(4). 2332–2341. 30 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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