F.F. Vajdos

8.6k total citations · 4 hit papers
20 papers, 6.1k citations indexed

About

F.F. Vajdos is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, F.F. Vajdos has authored 20 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in F.F. Vajdos's work include Protein Structure and Dynamics (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Signaling Pathways in Disease (3 papers). F.F. Vajdos is often cited by papers focused on Protein Structure and Dynamics (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Signaling Pathways in Disease (3 papers). F.F. Vajdos collaborates with scholars based in United States, Germany and United Kingdom. F.F. Vajdos's co-authors include Gerald R. Grimsley, C. Nick Pace, Lanette Fee, Wesley I. Sundquist, Christopher P. Hill, Abraham M. de Vos, Sanghee Yoo, David K. Worthylake, Theresa Gamble and Matthew C. Franklin and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

F.F. Vajdos

20 papers receiving 6.0k citations

Hit Papers

How to measure and predict the molar absorption coefficie... 1995 2026 2005 2015 1995 2004 1996 1997 1000 2.0k 3.0k

Peers

F.F. Vajdos
Comparison fields: 5 of 137
  • Molecular Biology 4.0k
  • Oncology 1.1k
  • Radiology, Nuclear Medicine and Imaging 965
  • Virology 935
  • Materials Chemistry 675
Replace John R. Engen with:
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Citations per field, relative to F.F. Vajdos
F.F. Vajdos · 1×
Citations per year, relative to F.F. Vajdos
F.F. Vajdos · 1×

Countries citing papers authored by F.F. Vajdos

Since Specialization
Citations

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

Fields of papers citing papers by F.F. Vajdos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F.F. Vajdos

This figure shows the co-authorship network connecting the top 25 collaborators of F.F. Vajdos. A scholar is included among the top collaborators of F.F. Vajdos 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 F.F. Vajdos. F.F. Vajdos 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
# Work Indexed citations
1 3
2 7
3 24
4 60
5 31
6 44
7 15
8 50
9 5
10 46
11
Insights into ErbB signaling from the structure of the ErbB2-pertuzumab complex breakdown →
828
12 98
13 128
14 97
15 75
16 82
17
Structure of the Carboxyl-Terminal Dimerization Domain of the HIV-1 Capsid Protein breakdown →
514
18
Crystal Structure of Human Cyclophilin A Bound to the Amino-Terminal Domain of HIV-1 Capsid breakdown →
597
19
How to measure and predict the molar absorption coefficient of a protein breakdown →
3392
20 36

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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