Stefan J. Hamill

947 total citations
10 papers, 817 citations indexed

About

Stefan J. Hamill is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Stefan J. Hamill has authored 10 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Materials Chemistry. Recurrent topics in Stefan J. Hamill's work include Protein Structure and Dynamics (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Force Microscopy Techniques and Applications (4 papers). Stefan J. Hamill is often cited by papers focused on Protein Structure and Dynamics (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Force Microscopy Techniques and Applications (4 papers). Stefan J. Hamill collaborates with scholars based in United Kingdom and United States. Stefan J. Hamill's co-authors include Jane Clarke, Susan B. Fowler, Annette Steward, Ernesto Cota, E. Cota, C. Mark Johnson, Cyrus Chothia, Stefan M.V. Freund, Wěi Li and Colin Kleanthous and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Stefan J. Hamill

10 papers receiving 803 citations

Peers

Stefan J. Hamill
Martin J. Parker United Kingdom
Nadia elMasry United Kingdom
T. M. Jovin Germany
A. Rachael Curran United States
Adrian A. Nickson United Kingdom
Agustin Avila-Sakar United States
Phyllis Anne Kosen United States
Martin J. Parker United Kingdom
Stefan J. Hamill
Citations per year, relative to Stefan J. Hamill Stefan J. Hamill (= 1×) peers Martin J. Parker

Countries citing papers authored by Stefan J. Hamill

Since Specialization
Citations

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

Fields of papers citing papers by Stefan J. Hamill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan J. Hamill. 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 Stefan J. Hamill. The network helps show where Stefan J. Hamill may publish in the future.

Co-authorship network of co-authors of Stefan J. Hamill

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

All Works

10 of 10 papers shown
1.
Randles, Lucy G., Ilkka Lappalainen, Susan B. Fowler, et al.. (2006). Using Model Proteins to Quantify the Effects of Pathogenic Mutations in Ig-like Proteins. Journal of Biological Chemistry. 281(34). 24216–24226. 30 indexed citations
2.
Hamill, Stefan J., Annette Steward, & Jane Clarke. (2000). The folding of an immunoglobulin-like greek key protein is defined by a common-core nucleus and regions constrained by topology. Journal of Molecular Biology. 297(1). 165–178. 156 indexed citations
3.
Cota, E., Stefan J. Hamill, Susan B. Fowler, & Jane Clarke. (2000). Two proteins with the same structure respond very differently to mutation: the role of plasticity in protein stability. Journal of Molecular Biology. 302(3). 713–725. 64 indexed citations
4.
Hamill, Stefan J., E. Cota, Cyrus Chothia, & Jane Clarke. (2000). Conservation of folding and stability within a protein family: the tyrosine corner as an evolutionary cul-de-sac 1 1Edited by J. M. Thornton. Journal of Molecular Biology. 295(3). 641–649. 94 indexed citations
5.
Clarke, Jane, Ernesto Cota, Susan B. Fowler, & Stefan J. Hamill. (1999). Folding studies of immunoglobulin-like β-sandwich proteins suggest that they share a common folding pathway. Structure. 7(9). 1145–1153. 174 indexed citations
6.
Hamill, Stefan J., et al.. (1998). The dependence of chemical exchange on boundary selection in a fibronectin type III domain from human tenascin. Journal of Molecular Biology. 282(1). 181–194. 24 indexed citations
7.
Hamill, Stefan J., et al.. (1998). The Effect of Boundary Selection on the Stability and Folding of the Third Fibronectin Type III Domain from Human Tenascin. Biochemistry. 37(22). 8071–8079. 71 indexed citations
8.
Li, Wěi, Stefan J. Hamill, Andrew M. Hemmings, et al.. (1998). Dual Recognition and the Role of Specificity-Determining Residues in Colicin E9 DNase−Immunity Protein Interactions. Biochemistry. 37(34). 11771–11779. 50 indexed citations
9.
Clarke, Jane, Stefan J. Hamill, & C. Mark Johnson. (1997). Folding and stability of a fibronectin type III domain of human tenascin. Journal of Molecular Biology. 270(5). 771–778. 100 indexed citations
10.
Hamill, Stefan J., Mark R. Proctor, Stefan M.V. Freund, et al.. (1996). Structure and Stability of an Immunoglobulin Superfamily Domain from Twitchin, a Muscle Protein of the NematodeCaenorhabditis elegans. Journal of Molecular Biology. 264(3). 624–639. 54 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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