Manuel Saiselet

669 citations
13 papers · 481 · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 1
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2

Manuel Saiselet

12 papers receiving 477 citations

Peers

Manuel Saiselet
Comparison fields: 5 of 72
  • Cancer Research 213
  • Endocrinology, Diabetes and Metabolism 149
  • Molecular Biology 302
  • Oncology 100
  • Immunology 43
Replace Efrat Flashner-Abramson with:
Efrat Flashner-Abramson Israel
Gianmarco Motta Italy
Adrienne R. Hanson Australia
Benjamin Sunkel United States
Evan R. Abt United States
Raquel Buj United States
Hailong Yu China
Lara K. Boyd United Kingdom
Ajula Vaid United States
Fabio De Martino Switzerland
Manuel Saiselet relative to Efrat Flashner-Abramson Israel Efrat Flashner-Abramson's profile →
Citations per field
00.5×3.2×
Efrat Flashner-Abramson · 1×
Citations per year

Countries citing papers authored by Manuel Saiselet

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Saiselet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012130
2 201683
3 201557
4 201557
5 201439
6 201336
7 201634
8 202119
9 202112
10 201410
11 20152
12 20212
13 20240

About Manuel Saiselet

Manuel Saiselet is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery and Pathology and Forensic Medicine, having authored 13 papers that have together received 481 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Head and Neck Anomalies (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (213 citations), Endocrinology, Diabetes and Metabolism (149 citations), Molecular Biology (302 citations), Oncology (100 citations) and Immunology (43 citations). Manuel Saiselet has collaborated with scholars based in Belgium, France and Italy. Frequent co-authors include Carine Maenhaut, Maxime Tarabichi, Geert Dom, Guy Andry, Vincent Detours, Aline Hébrant, Sébastien L. Floor, Wilma C.G. van Staveren, J.E. Dumont and Xavier De Deken. Their work appears in journals such as Oncotarget, PLoS ONE, Cancers, British Journal of Cancer and BMC Genomics.

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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