Sylvie Martel

1.6k citations
31 papers · 1.1k · h-index 19

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • TGF-β signaling in diseases
    • Kruppel-like factors research
    • Bone Metabolism and Diseases

Papers in

    • TGF-β signaling in diseases 14
    • Kruppel-like factors research 3
    • Metabolism, Diabetes, and Cancer 2
    • RNA Research and Splicing 2
    • Pancreatic and Hepatic Oncology Research 3

Sylvie Martel

31 papers receiving 1.0k citations

Peers

Sylvie Martel
Comparison fields: 5 of 95
  • Hematology 94
  • Molecular Biology 544
  • Genetics 75
  • Immunology 153
  • Oncology 178
Replace Hilary White with:
Hilary White United States
Seon‐Hee Yim South Korea
Manfred Mitterer Italy
Stacey DaCosta Byfield United States
Marina Petrini Italy
D.F. Easton United Kingdom
Andrew R. Allen United States
Loretta M. S. Lau Australia
Banu Symington United States
David E. Carter Canada
Sylvie Martel relative to Hilary White United States Hilary White's profile →
Citations per field
00.5×
Hilary White · 1×
Citations per year

Countries citing papers authored by Sylvie Martel

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Martel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199899
2 200997
3 200391
4 200277
5 201471
6 200970
7 201360
8 201453
9 200144
10 200041
11 200137
12 200837
13 201532
14 201229
15 201324
16 200523
17 200523
18 200723
19 199722
20 201318

About Sylvie Martel

Sylvie Martel is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Surgery, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Kruppel-like factors research (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Research and Splicing (2 papers), Cancer Research and Treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Hematology (94 citations), Molecular Biology (544 citations), Genetics (75 citations), Immunology (153 citations) and Oncology (178 citations). Sylvie Martel has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Laurent Bartholin, Ruth Rimokh, Jean‐Pierre Magaud, Véronique Maguer‐Satta, Mylène Gadoux, David F. Vincent, Sandrine Hayette, Roxane M. Pommier, Ulrich Valcourt and Suzanne Bertrand. Their work appears in journals such as Oncogene, Biology of the Cell, PLoS Genetics, Experimental Cell Research and genesis.

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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