Ché Serguera

1.4k citations
29 papers · 1.1k · h-index 16

Impact in

Papers in

    • Virus-based gene therapy research 12
    • RNA Interference and Gene Delivery 8
    • CRISPR and Genetic Engineering 8

Ché Serguera

28 papers receiving 1.1k citations

Peers

Ché Serguera
Comparison fields: 5 of 79
  • Developmental Neuroscience 94
  • Genetics 397
  • Virology 48
  • Pathology and Forensic Medicine 157
  • Molecular Biology 588
Replace Michael J. Hansen with:
Michael J. Hansen United States
Andrea L. Halliday United States
Jennifer Ishii United States
Natàlia Tàpia Germany
Petros Hantzopoulos United States
Naohide Ageyama Japan
Claire Allen United Kingdom
G. Cederquist United States
Thomas Kammertoens Germany
Yves De Repentigny Canada
Ché Serguera relative to Michael J. Hansen United States Michael J. Hansen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ché Serguera

Since Specialization
Citations

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

Fields of papers citing papers by Ché Serguera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006194
2 2001173
3 2000142
4 201262
5 200854
6 201950
7 199947
8 200846
9 200241
10 201340
11 201540
12 201033
13 201721
14 200317
15 200516
16 200115
17 201914
18 201414
19 202112
20 201411

About Ché Serguera

Ché Serguera is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Immunology and Neurology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (8 papers), Multiple Sclerosis Research Studies (6 papers), T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (94 citations), Genetics (397 citations), Virology (48 citations), Pathology and Forensic Medicine (157 citations) and Molecular Biology (588 citations). Ché Serguera has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Jacques Mallet, Chamsy Sarkis, Stéphanie Philippe, Pierre Charneau, Véronique Zennou, Delphine Buchet, Jean‐Luc Ridet, Emmanuelle Perret, Philippe Colin and Charline Ladroue. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Frontiers in Immunology, Journal of Neuroimmunology and Current Gene Therapy.

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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