S. Estrade

562 citations
30 papers · 507 · h-index 13

Impact in

    • Ion Transport and Channel Regulation
    • Ion channel regulation and function
    • Renal and related cancers
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms
    • Polyomavirus and related diseases

Papers in

    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 3
    • Virus-based gene therapy research 14

S. Estrade

30 papers receiving 479 citations

Peers

S. Estrade
Comparison fields: 5 of 79
  • Molecular Biology 324
  • Oncology 125
  • Genetics 124
  • Nephrology 30
  • Cancer Research 57
Replace Masaru Shin with:
Masaru Shin Japan
K Kataoka Japan
Yoshiyuki Kanai Japan
James F. Whitfield Canada
Jesse L. Bobbitt United States
R. G. Ebb United States
Abdur Rehman Siddiqi Sweden
Mel Silverman Canada
B. Heicke Germany
Phillip P. Minghetti United States
S. Estrade relative to Masaru Shin Japan Masaru Shin's profile →
Citations per field
00.5×4.3×
Masaru Shin · 1×
Citations per year

Countries citing papers authored by S. Estrade

Since Specialization
Citations

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

Fields of papers citing papers by S. Estrade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Estrade, 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 S. Estrade Line = papers co-authored together S. Estrade links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198588
2 198970
3 199235
4 199234
5 197132
6 199231
7 199225
8 199321
9 199121
10 197519
11 199313
12 199213
13 197213
14 198412
15 199111
16 197410
17 19779
18 19888
19 19778
20 19767

About S. Estrade

S. Estrade is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Ecology, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Polyomavirus and related diseases (6 papers), CRISPR and Genetic Engineering (4 papers), Immunotherapy and Immune Responses (4 papers), Animal Virus Infections Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (324 citations), Oncology (125 citations), Genetics (124 citations), Nephrology (30 citations) and Cancer Research (57 citations). S. Estrade has collaborated with scholars based in France, Burundi and United Kingdom. Frequent co-authors include R. Cassingéna, B. Baudouin, H. G. Suarez, Monique Geniteau‐Legendre, Brigitte Lelongt, Alain Vandewalle, Bernard Dutrillaux, Françoise Hoffschir, Christian Lavialle and M. Ricoul. Their work appears in journals such as Archives of Virology, International Journal of Cancer, Journal of Cellular Physiology, Journal of General Virology and Experimental Cell Research.

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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