Philippe Huot-Marchand

1.0k citations
13 papers · 230 indexed · 1 hit paper · h-index 6
Topics
Liver Disease Diagnosis and Treatment (5 papers)Diet, Metabolism, and Disease (4 papers)Erythropoietin and Anemia Treatment (3 papers)

In The Last Decade

Philippe Huot-Marchand

9 papers receiving 227 citations

Hit Papers

Pan-PPAR agonist lanifibranor improves insulin resistance...202520262025102030

Peers

Philippe Huot-Marchand
Comparison fields: 5 of 41
  • Epidemiology 99
  • Genetics 64
  • Endocrinology, Diabetes and Metabolism 52
  • Molecular Biology 40
  • Hepatology 35
Replace Maria del Carmen Calle Dávila with:
Maria del Carmen Calle Dávila Argentina
D. Purdie United States
So-Young Jin South Korea
Nicole S. J. Ko Singapore
Gail Cawkwell United States
Shaopeng Qiu China
Miyuki Sugimoto Japan
Katarina Almehed Sweden
Verónica Mijares Spain
Philippe Huot-Marchand relative to Maria del Carmen Calle Dávila Argentina Maria del Carmen Calle Dávila's profile →
Citations per field
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Maria del Carmen Calle Dávila · 1×
Citations per year

Countries citing papers authored by Philippe Huot-Marchand

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Huot-Marchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Huot-Marchand. 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 Philippe Huot-Marchand. The network helps show where Philippe Huot-Marchand may publish in the future.

Co-authorship network of co-authors of Philippe Huot-Marchand

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Huot-Marchand. A scholar is included among the top collaborators of Philippe Huot-Marchand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Huot-Marchand. Philippe Huot-Marchand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Pan-PPAR agonist lanifibranor improves insulin resistance and hepatic steatosis in patients with T2D and MASLDbreakdown →
32
2 0
3 31
4 0
5 1
6 55
7 4
8 68
9 7
10 0
11 30
12 1
13 1

About Philippe Huot-Marchand

Philippe Huot-Marchand is a scholar working on Genetics, Hematology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 230 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers) and Erythropoietin and Anemia Treatment (3 papers). The work is most often cited by research in Hepatology (35 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Epidemiology (99 citations). Philippe Huot-Marchand has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Pierre Broqua, Jean‐Louis Abitbol, Vlad Ratziu, Elisabetta Bugianesi, Michael Cooreman, Jean‐Louis Junien, Christopher Blakeley, Isabel Bover, Santiago González-Santiago and James V. Fiorica. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of Hepatology.

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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