Marc Billaud

6.7k citations
84 papers · 5.1k indexed · 1 hit paper · h-index 38

Impact in

Papers in

Marc Billaud

83 papers receiving 5.1k citations

Hit Papers

RNA-Binding Proteins in Cancer: Old Players and New Actors 2017 · 537 citations
5372017202620202023100200300400500

Peers

Marc Billaud
Comparison fields: 5 of 122
  • Aging 252
  • Cancer Research 812
  • Oncology 1.3k
  • Molecular Biology 3.2k
  • Endocrinology, Diabetes and Metabolism 743
Replace Kei-ichi Nakayama with:
Kei-ichi Nakayama Japan
Earlene M. Schmitt United States
Jane McGlade Canada
Hiroaki Kiyokawa United States
Antonio Di Cristofano United States
Dmitry V. Bulavin United States
Marta Cañamero Spain
Rainer B. Lanz United States
Kristen Jepsen United States
Rosana Kapeller United States
Marc Billaud relative to Kei-ichi Nakayama Japan Kei-ichi Nakayama's profile →
Citations per field
00.5×3.7×
Kei-ichi Nakayama · 1×
Citations per year

Countries citing papers authored by Marc Billaud

Since Specialization
Citations

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

Fields of papers citing papers by Marc Billaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20230
3 20232
4 20185
5 201627
6 20168
7 20159
8 201347
9 20129
10 201051
11 201017
12 200833
13 200858
14 2007123
15 2005108
16 2001231
17 199933
18 1998120
19 199883
20 199784

About Marc Billaud

Marc Billaud is a scholar working on Aging, Pathology and Forensic Medicine, Oncology, Cancer Research and Anatomy, having authored 84 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (9 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (8 papers), FOXO transcription factor regulation (8 papers), Cancer-related Molecular Pathways (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Congenital gastrointestinal and neural anomalies (8 papers) and Genetics, Aging, and Longevity in Model Organisms (7 papers). The work is most often cited by research in Aging (252 citations), Cancer Research (812 citations), Oncology (1.3k citations), Molecular Biology (3.2k citations) and Endocrinology, Diabetes and Metabolism (743 citations). Marc Billaud has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Bruno Pereira, Raquel Almeida, Alfredo Fusco, Massimo Santoro, Gilbert Lenoir, Francesca Carlomagno, Serge N. Manié, Alain Calender, Christelle Forcet and Andrea Pasini. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Virology and Human Molecular Genetics.

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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