Samuel Walpole

521 total citations
16 papers, 375 citations indexed

About

Samuel Walpole is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Samuel Walpole has authored 16 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Physiology. Recurrent topics in Samuel Walpole's work include Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Chemical Synthesis and Analysis (2 papers). Samuel Walpole is often cited by papers focused on Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Chemical Synthesis and Analysis (2 papers). Samuel Walpole collaborates with scholars based in United Kingdom, Spain and Australia. Samuel Walpole's co-authors include Jesús Angulo, Serena Monaco, Ridvan Nepravishta, Leanne Stokes, Nathalie Juge, Stefan Bidula, Lučka Bibič, Brett A. Cromer, David Owen and Martin Walsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Analytical Chemistry.

In The Last Decade

Samuel Walpole

16 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Walpole United Kingdom	13	236	50	43	42	41	16	375
Marco T. Rudolf Germany	11	389 1.6×	39 0.8×	83 1.9×	41 1.0×	15 0.4×	16	661
Christine Vionnet Switzerland	15	652 2.8×	13 0.3×	56 1.3×	30 0.7×	11 0.3×	23	839
David M. Zuckerman United States	10	320 1.4×	23 0.5×	11 0.3×	20 0.5×	11 0.3×	13	654
Michael Hoffmann Germany	17	490 2.1×	21 0.4×	49 1.1×	10 0.2×	10 0.2×	40	725
Lenka Monincová Czechia	13	354 1.5×	16 0.3×	69 1.6×	24 0.6×	5 0.1×	25	705
Daan van der Es Netherlands	11	237 1.0×	11 0.2×	148 3.4×	15 0.4×	56 1.4×	26	349
Lenin Domínguez‐Ramírez Mexico	11	413 1.8×	12 0.2×	13 0.3×	36 0.9×	10 0.2×	42	568
Ali Masoudi United States	8	629 2.7×	13 0.3×	32 0.7×	19 0.5×	13 0.3×	9	760
Wei Tong China	11	419 1.8×	15 0.3×	9 0.2×	19 0.5×	11 0.3×	19	745
А. А. Карелин Russia	15	316 1.3×	31 0.6×	177 4.1×	26 0.6×	5 0.1×	51	501

Countries citing papers authored by Samuel Walpole

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Walpole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Walpole

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Walpole. A scholar is included among the top collaborators of Samuel Walpole 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 Samuel Walpole. Samuel Walpole 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:

16 of 16 papers shown

Walpole, Samuel, Ridvan Nepravishta, M. Isabel García‐Moreno, et al.. (2024). Speeding-up the Determination of Protein–Ligand Affinities by STD NMR: The Reduced Data Set STD NMR Approach (rd-STD NMR). Analytical Chemistry. 96(2). 615–619. 6 indexed citations

Nepravishta, Ridvan, et al.. (2024). Fast Quantitative Validation of 3D Models of Low-Affinity Protein–Ligand Complexes by STD NMR Spectroscopy. Journal of Medicinal Chemistry. 67(12). 10025–10034. 6 indexed citations

Wu, Haiyang, Emmanuelle H. Crost, David Owen, et al.. (2021). The human gut symbiont Ruminococcus gnavus shows specificity to blood group A antigen during mucin glycan foraging: Implication for niche colonisation in the gastrointestinal tract. PLoS Biology. 19(12). e3001498–e3001498. 20 indexed citations

Wu, Haiyang, Emmanuelle H. Crost, David Owen, et al.. (2020). Fucosidases from the human gut symbiont Ruminococcus gnavus. Cellular and Molecular Life Sciences. 78(2). 675–693. 50 indexed citations

Monaco, Serena, Samuel Walpole, Ridvan Nepravishta, et al.. (2020). Exploring Multi‐Subsite Binding Pockets in Proteins: DEEP‐STD NMR Fingerprinting and Molecular Dynamics Unveil a Cryptic Subsite at the GM1 Binding Pocket of Cholera Toxin B. Chemistry - A European Journal. 26(44). 10024–10034. 11 indexed citations

Bidula, Stefan, Brett A. Cromer, Samuel Walpole, Jesús Angulo, & Leanne Stokes. (2019). Mapping a novel positive allosteric modulator binding site in the central vestibule region of human P2X7. Scientific Reports. 9(1). 3231–3231. 23 indexed citations

Beekman, Andrew M., et al.. (2019). Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design. Chemical Science. 10(16). 4502–4508. 13 indexed citations

Bibič, Lučka, et al.. (2019). Bug Off Pain: An Educational Virtual Reality Game on Spider Venoms and Chronic Pain for Public Engagement. Journal of Chemical Education. 96(7). 1486–1490. 22 indexed citations

Walpole, Samuel, Serena Monaco, Ridvan Nepravishta, & Jesús Angulo. (2018). STD NMR as a Technique for Ligand Screening and Structural Studies. Methods in enzymology on CD-ROM/Methods in enzymology. 615. 423–451. 47 indexed citations

10.

Nepravishta, Ridvan, Samuel Walpole, Louise E. Tailford, Nathalie Juge, & Jesús Angulo. (2018). Deriving Ligand Orientation in Weak Protein–Ligand Complexes by DEEP‐STD NMR Spectroscopy in the Absence of Protein Chemical‐Shift Assignment. ChemBioChem. 20(3). 340–344. 12 indexed citations

11.

Kim, Young Hun, Sung‐Hoon Jun, Jin Won Cho, et al.. (2018). Structural basis for arginine glycosylation of host substrates by bacterial effector proteins. Nature Communications. 9(1). 4283–4283. 49 indexed citations

12.

Bidula, Stefan, Samuel Walpole, Lučka Bibič, et al.. (2018). Ginsenosides Act As Positive Modulators of P2X4 Receptors. Molecular Pharmacology. 95(2). 210–221. 26 indexed citations

13.

Tolchard, James, Samuel Walpole, Andrew Miles, et al.. (2018). The intrinsically disordered Tarp protein from chlamydia binds actin with a partially preformed helix. Scientific Reports. 8(1). 1960–1960. 14 indexed citations

14.

Kuhaudomlarp, Sakonwan, Samuel Walpole, Clare E. M. Stevenson, et al.. (2018). Unravelling the Specificity of Laminaribiose Phosphorylase from Paenibacillus sp. YM‐1 towards Donor Substrates Glucose/Mannose 1‐Phosphate by Using X‐ray Crystallography and Saturation Transfer Difference NMR Spectroscopy. ChemBioChem. 20(2). 181–192. 13 indexed citations

15.

Walpole, Samuel, Serena Monaco, G. R. Stephenson, et al.. (2018). Discovery of Small Molecule WWP2 Ubiquitin Ligase Inhibitors. Chemistry - A European Journal. 24(67). 17677–17680. 31 indexed citations

16.

Kavanaugh, Devon, Donald MacKenzie, Tanja Šuligoj, et al.. (2018). Structural basis for the role of serine-rich repeat proteins from Lactobacillus reuteri in gut microbe–host interactions. Proceedings of the National Academy of Sciences. 115(12). E2706–E2715. 32 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.

Explore authors with similar magnitude of impact