P Sutrave

1.8k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Muscle Physiology and Disorders (7 papers)Virus-based gene therapy research (6 papers)Animal Genetics and Reproduction (6 papers)

In The Last Decade

P Sutrave

24 papers receiving 1.5k citations

Hit Papers

Adaptor plasmids simplify the insertion of foreign DNA in...19872026200020131987100200300400500

Peers

P Sutrave
Comparison fields: 5 of 84
  • Molecular Biology 1.3k
  • Genetics 417
  • Cell Biology 180
  • Oncology 175
  • Surgery 138
Replace Gregory M. Shackleford with:
Gregory M. Shackleford United States
Patricia Buckley Ahrens United States
Todor Dimitrov United States
Toshiaki Koda Japan
Ibolya Kiss Hungary
Rosalind Smith United Kingdom
Fabienne Cocchiarella Italy
Sushilkumar G. Devare United States
Concepción Martínez Spain
Deborah Farson United States
P Sutrave relative to Gregory M. Shackleford United States Gregory M. Shackleford's profile →
Citations per field
00.5×1.5×1.9×
Gregory M. Shackleford · 1×
Citations per year

Countries citing papers authored by P Sutrave

Since Specialization
Citations

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

Fields of papers citing papers by P Sutrave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Sutrave

This figure shows the co-authorship network connecting the top 25 collaborators of P Sutrave. A scholar is included among the top collaborators of P Sutrave 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 Sutrave. P Sutrave 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 12
2 5
3 84
4 36
5 10
6 22
7 78
8
The ski oncogene.
22
9
Structure, tissue-specific expression, and transforming activity of the mouse met protooncogene.
112
10 3
11 139
12 52
13
Vectors and genes for improvement of animal strains.
14
14 9
15 43
16
Adaptor plasmids simplify the insertion of foreign DNA into helper-independent retroviral vectorsbreakdown →
599
17 11
18 168
19 14
20
Glyoxalase I in regenerating mouse liver exposed to carcinogens.
5

About P Sutrave

P Sutrave is a scholar working on Genetics, Molecular Biology and Plant Science, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Virus-based gene therapy research (6 papers) and Animal Genetics and Reproduction (6 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (417 citations) and Hepatology (92 citations). P Sutrave has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stephen H. Hughes, Christos J. Petropoulos, Jack Greenhouse, A. M. Kelly, Ulf R. Rapp, Tom I. Bonner, M. Gunnell, Stephen Kerby, G E Mark and Edward Stavnezer. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Neuroscience.

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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