Christopher G. Evans

11 papers receiving 913 citations

Peers

Christopher G. Evans
Comparison fields: 5 of 92
  • Aging 49
  • Cell Biology 231
  • Molecular Biology 707
  • Physical and Theoretical Chemistry 66
  • Computational Theory and Mathematics 111
Replace Susanne Wisén with:
Susanne Wisén United States
Yoshinari Miyata United States
Andrea D. Thompson United States
G Elif Karagöz Netherlands
Antonia Stank Germany
Cecilia Emanuelsson Sweden
Jeffrey F. Ohren United States
Elena Morelli Italy
David B. Lloyd United States
Silvia Vilasi Italy
Christopher G. Evans relative to Susanne Wisén United States Susanne Wisén's profile →
Citations per field
00.5×1.7×
Susanne Wisén · 1×
Citations per year

Countries citing papers authored by Christopher G. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Evans. 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 Christopher G. Evans. The network helps show where Christopher G. Evans may publish in the future.

Co-authors

The 23 scholars most cited alongside Christopher G. Evans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher G. Evans Line = papers co-authored together Christopher G. Evans links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010335
2 2006317
3 2010129
4 200759
5 201031
6 201228
7 201112
8 200911
9 20054
10
Remarks on the self-shrinking Clifford torus
20193
11 20221

About Christopher G. Evans

Christopher G. Evans is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Geometry and Topology, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 11 papers that have together received 930 indexed citations. Recurring topics across this work include Heat shock proteins research (5 papers), Protein Structure and Dynamics (4 papers), Geometric Analysis and Curvature Flows (2 papers), Computational Drug Discovery Methods (2 papers), thermodynamics and calorimetric analyses (2 papers), Geometry and complex manifolds (2 papers), Geometric and Algebraic Topology (2 papers) and Synthetic Organic Chemistry Methods (1 paper). The work is most often cited by research in Aging (49 citations), Cell Biology (231 citations), Molecular Biology (707 citations), Physical and Theoretical Chemistry (66 citations) and Computational Theory and Mathematics (111 citations). Christopher G. Evans has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Jason E. Gestwicki, Lyra Chang, Susanne Wisén, Andrea D. Thompson, John R. Androsavich, Peter M.U. Ung, Srikanth Patury, Peter Wipf, Heather A. Carlson and Erik R. P. Zuiderweg. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Chemical Biology, Chemical Communications, Bioorganic & Medicinal Chemistry and Journal of Biological Chemistry.

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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