Donna Atherton

531 total citations
9 papers, 375 citations indexed

About

Donna Atherton is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Donna Atherton has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Donna Atherton's work include Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein purification and stability (2 papers). Donna Atherton is often cited by papers focused on Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein purification and stability (2 papers). Donna Atherton collaborates with scholars based in United States, Canada and Germany. Donna Atherton's co-authors include Joseph Fernandez, Sheenah M. Mische, Michael S. DeMott, R. U. Margolis, Renée K. Margolis, Richard U. Margolis, Regina M. Santella, Andrew N. Spencer, Warren J. Gallin and Audrée V. Fowler and has published in prestigious journals such as Analytical Biochemistry, Journal of Neurophysiology and The FASEB Journal.

In The Last Decade

Donna Atherton

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donna Atherton United States	7	285	103	38	33	32	9	375
Rosa Uy United States	7	295 1.0×	66 0.6×	52 1.4×	26 0.8×	29 0.9×	8	454
T. E. Machen United States	8	222 0.8×	51 0.5×	19 0.5×	43 1.3×	12 0.4×	8	384
Keith R. Westcott United States	13	311 1.1×	66 0.6×	20 0.5×	79 2.4×	20 0.6×	18	449
Rhida Kassab France	13	444 1.6×	190 1.8×	18 0.5×	29 0.9×	16 0.5×	23	582
Robin Püllen Germany	5	294 1.0×	49 0.5×	30 0.8×	32 1.0×	41 1.3×	6	400
Janice Bramham United Kingdom	12	294 1.0×	63 0.6×	22 0.6×	42 1.3×	16 0.5×	20	407
C J Coffee United States	9	263 0.9×	109 1.1×	24 0.6×	29 0.9×	42 1.3×	10	407
Carole J. Coffee United States	12	334 1.2×	108 1.0×	53 1.4×	45 1.4×	25 0.8×	21	505
Olga Abramczyk United States	13	400 1.4×	91 0.9×	22 0.6×	20 0.6×	44 1.4×	14	536
Mary B. Sliwkowski United States	11	443 1.6×	30 0.3×	31 0.8×	29 0.9×	17 0.5×	13	501

Countries citing papers authored by Donna Atherton

Since Specialization

Citations

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

Fields of papers citing papers by Donna Atherton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna Atherton. 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 Donna Atherton. The network helps show where Donna Atherton may publish in the future.

Co-authorship network of co-authors of Donna Atherton

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

All Works

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9 of 9 papers shown

Atherton, Donna, et al.. (2011). jShaw1, a low-threshold, fast-activating Kv3 from the hydrozoan jellyfishPolyorchis penicillatus. Journal of Experimental Biology. 214(18). 3124–3137. 13 indexed citations

Klassen, Tara, Steven D. Buckingham, Donna Atherton, et al.. (2006). Atypical Phenotypes From Flatworm Kv3 Channels. Journal of Neurophysiology. 95(5). 3035–3046. 7 indexed citations

Atherton, Donna, Joseph Fernandez, & Sheenah M. Mische. (1993). Identification of Cysteine Residues at the 10-pmol Level by Carboxamidomethylation of Protein Bound to Sequencer Membrane Supports. Analytical Biochemistry. 212(1). 98–105. 5 indexed citations

Fernandez, Joseph, Michael S. DeMott, Donna Atherton, & Sheenah M. Mische. (1992). Internal protein sequence analysis: Enzymatic digestion for less than 10 μg of protein bound to polyvinylidene difluoride or nitrocellulose membranes. Analytical Biochemistry. 201(2). 255–264. 249 indexed citations

Williams, Kenneth R., Ronald L. Niece, Donna Atherton, et al.. (1988). The size, operation, and technical capabilities of protein and nucleic acid core facilities ¹. The FASEB Journal. 2(15). 3124–3130. 13 indexed citations

Atherton, Donna, et al.. (1979). NEW DEVELOPMENTS IN ANTIFOULING: A REVIEW OF THE PRESENT STATE OF THE ART. Journal of Coatings Technology. 51(657). 88–91. 3 indexed citations

Margolis, Richard U. & Donna Atherton. (1972). The heparan sulfate of rat brain. Biochimica et Biophysica Acta (BBA) - General Subjects. 273(2). 368–373. 27 indexed citations

Margolis, R. U., Renée K. Margolis, & Donna Atherton. (1972). CARBOHYDRATE‐PEPTIDE LINKAGES IN GLYCOPROTEINS AND MUCOPOLYSACCHARIDES FROM BRAIN. Journal of Neurochemistry. 19(10). 2317–2324. 31 indexed citations

Margolis, R. U., Renée K. Margolis, Regina M. Santella, & Donna Atherton. (1972). THE HYALURONIDASE OF BRAIN. Journal of Neurochemistry. 19(10). 2325–2332. 27 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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