Victoria A. Feher

3.9k citations
38 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
Protein Structure and Dynamics (20 papers)Enzyme Structure and Function (12 papers)Bacterial Genetics and Biotechnology (10 papers)
Partner nations
United StatesJapanSweden

In The Last Decade

Victoria A. Feher

38 papers receiving 2.8k citations

Hit Papers

Gaussian Accelerated Molecular Dynamics: Unconstrained En...20152026201820222015100200300400500

Peers

Victoria A. Feher
Comparison fields: 5 of 121
  • Molecular Biology 2.2k
  • Materials Chemistry 558
  • Computational Theory and Mathematics 534
  • Genetics 468
  • Organic Chemistry 312
Replace Radka Svobodová Vařeková with:
Radka Svobodová Vařeková Czechia
Srivatsan Raman United States
Robbie P. Joosten Netherlands
Barry J. Grant United States
João Rodrigues Netherlands
John Karanicolas United States
Narayanaswamy Srinivasan India
Sameer Velankar United Kingdom
Ashley C. Stuart United States
Paul D. Roepe United States
Victoria A. Feher relative to Radka Svobodová Vařeková Czechia Radka Svobodová Vařeková's profile →
Citations per field
00.5×1.5×2.2×
Radka Svobodová Vařeková · 1×
Citations per year

Countries citing papers authored by Victoria A. Feher

Since Specialization
Citations

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

Fields of papers citing papers by Victoria A. Feher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria A. Feher. 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 Victoria A. Feher. The network helps show where Victoria A. Feher may publish in the future.

Co-authorship network of co-authors of Victoria A. Feher

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 36
2 18
3 144
4 159
5 13
6 1
7 20
8 31
9 17
10 51
11 22
12 22
13 55
14 20
15 44
16 26
17 89
18 29
19 129
20 160

About Victoria A. Feher

Victoria A. Feher is a scholar working on Molecular Biology, Physiology and Genetics, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (12 papers) and Bacterial Genetics and Biotechnology (10 papers). The work is most often cited by research in Computational Theory and Mathematics (534 citations), Molecular Biology (2.2k citations) and Spectroscopy (286 citations). Victoria A. Feher has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include J. Andrew McCammon, Yinglong Miao, James A. Hoch, John Cavanagh, Rommie E. Amaro, Céline Fabret, Peter E. Wright, H. Jane Dyson, Jacob D. Durrant and Jonathan P. Waltho. Their work appears in journals such as Nature, Chemical Reviews and Journal of the American Chemical Society.

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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