Denis Shutin

487 total citations
8 papers, 334 citations indexed

About

Denis Shutin is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Denis Shutin has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Epidemiology. Recurrent topics in Denis Shutin's work include Lipid Membrane Structure and Behavior (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Influenza Virus Research Studies (2 papers). Denis Shutin is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Influenza Virus Research Studies (2 papers). Denis Shutin collaborates with scholars based in United Kingdom, Germany and Sweden. Denis Shutin's co-authors include Carol V. Robinson, Jani Reddy Bolla, Idlir Liko, Joseph Gault, Hsin‐Yung Yen, Michael Landreh, Rainer Haag, Leonhard H. Urner, Fernando Almeida and Marcus J.G.W. Ladds and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The EMBO Journal.

In The Last Decade

Denis Shutin

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denis Shutin United Kingdom	7	236	168	32	19	17	8	334
Henrique S. Seckler United States	12	247 1.0×	307 1.8×	35 1.1×	28 1.5×	11 0.6×	19	435
Kevin Demeure Belgium	8	286 1.2×	368 2.2×	41 1.3×	16 0.8×	34 2.0×	9	493
Deanna Dryhurst Canada	10	583 2.5×	270 1.6×	25 0.8×	11 0.6×	29 1.7×	11	757
Victoria C. Cotham United States	10	187 0.8×	210 1.3×	23 0.7×	14 0.7×	19 1.1×	17	331
Elizabeth F. Bayne United States	6	165 0.7×	151 0.9×	11 0.3×	10 0.5×	5 0.3×	8	253
Modupeola A. Sowole Canada	10	229 1.0×	192 1.1×	23 0.7×	52 2.7×	19 1.1×	12	355
Mark T. Agasid United Kingdom	8	301 1.3×	220 1.3×	45 1.4×	36 1.9×	8 0.5×	12	448
Luis A. Macias United States	10	232 1.0×	209 1.2×	17 0.5×	21 1.1×	8 0.5×	17	329
Tyler Greer United States	15	450 1.9×	430 2.6×	39 1.2×	8 0.4×	16 0.9×	23	652
Michael Nshanian United States	10	207 0.9×	226 1.3×	20 0.6×	18 0.9×	8 0.5×	11	358

Countries citing papers authored by Denis Shutin

Since Specialization

Citations

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

Fields of papers citing papers by Denis Shutin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Shutin

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Urner, Leonhard H., Francesco Fiorentino, Denis Shutin, et al.. (2024). Detergents with Scalable Properties Identify Noncanonical Lipopolysaccharide Binding to Bacterial Inner Membrane Proteins. Journal of the American Chemical Society. 5 indexed citations

2.

Oluwole, Abraham O., Denis Shutin, & Jani Reddy Bolla. (2023). Mass spectrometry of intact membrane proteins: shifting towards a more native-like context. Essays in Biochemistry. 67(2). 201–213. 12 indexed citations

3.

Urner, Leonhard H., Francesco Fiorentino, Tarick J. El‐Baba, et al.. (2023). Rationalizing the Optimization of Detergents for Membrane Protein Purification. Chemistry - A European Journal. 29(30). e202300159–e202300159. 22 indexed citations

4.

Urner, Leonhard H., Ehsan Mohammadifar, Kai Ludwig, et al.. (2021). Anionic Dendritic Polyglycerol for Protein Purification and Delipidation. ACS Applied Polymer Materials. 3(11). 5903–5911. 14 indexed citations

5.

Esser, Tim K., Thomas D. Newport, Francesco Fiorentino, et al.. (2021). NaViA: a program for the visual analysis of complex mass spectra. Bioinformatics. 37(24). 4876–4878. 12 indexed citations

6.

Urner, Leonhard H., Idlir Liko, Hsin‐Yung Yen, et al.. (2020). Modular detergents tailor the purification and structural analysis of membrane proteins including G-protein coupled receptors. Nature Communications. 11(1). 564–564. 88 indexed citations

7.

Gault, Joseph, Idlir Liko, Michael Landreh, et al.. (2020). Combining native and ‘omics’ mass spectrometry to identify endogenous ligands bound to membrane proteins. Nature Methods. 17(5). 505–508. 131 indexed citations

8.

Matsuoka, Rei, Denis Shutin, Chen‐Ou Zhang, et al.. (2020). Structure and elevator mechanism of the mammalian sodium/proton exchanger NHE9. The EMBO Journal. 39(24). 4541–4559. 50 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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