P. Franken

825 total citations
30 papers, 659 citations indexed

About

P. Franken is a scholar working on Molecular Biology, Genetics and Small Animals. According to data from OpenAlex, P. Franken has authored 30 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Small Animals. Recurrent topics in P. Franken's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Venomous Animal Envenomation and Studies (5 papers) and HIV Research and Treatment (4 papers). P. Franken is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Venomous Animal Envenomation and Studies (5 papers) and HIV Research and Treatment (4 papers). P. Franken collaborates with scholars based in Netherlands, France and United States. P. Franken's co-authors include Christian Dumas, Stefan T. Arold, François Hoh, Marie‐Paule Strub, R. van den Hoven, Hubertus M. Verheij, Richard Bénarous, Serge Bénichou, Gerard H. De Haas and Cassian Bon and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and European Journal of Biochemistry.

In The Last Decade

P. Franken

28 papers receiving 641 citations

Peers

P. Franken
Comparison fields: 5 of 81
  • Molecular Biology 333
  • Virology 175
  • Genetics 111
  • Infectious Diseases 101
  • Immunology 100
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Citations per field, relative to P. Franken
P. Franken · 1×
Citations per year, relative to P. Franken
P. Franken · 1×

Countries citing papers authored by P. Franken

Since Specialization
Citations

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

Fields of papers citing papers by P. Franken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Franken

This figure shows the co-authorship network connecting the top 25 collaborators of P. Franken. A scholar is included among the top collaborators of P. Franken 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 P. Franken. P. Franken 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 98
2 174
3 22
4
The crystal structure of HIV-1 Nef protein bound to the Fyn kinase SH3 domain suggests a role for this complex in altered T cell receptor signaling
1
5 29
6 37
7 9
8
[Reliability of bacteriological studies of composite samples in the diagnosis of subclinical udder infections in cattle].
1
9 40
10 15
11 11
12 8
13 25
14 13
15 23
16 24
17
[A study in veal calves for a possible correlation between serum immunoglobulin levels, nutrition levels and risk of disease in the first few weeks of the fattening period].
8
18 8
19 67
20 6

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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