Sacha Robert

864 citations
12 papers · 682 · 1 hit paper · h-index 8

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Diseases and Immunity
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

Sacha Robert

12 papers receiving 673 citations

Sacha Robert's Hit Papers

Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling 2021 · 154 citations
1540+1+3Years since publication50100150

Peers

Sacha Robert
Comparison fields: 5 of 84
  • Hepatology 145
  • Physiology 51
  • Epidemiology 239
  • Nephrology 35
  • Immunology 99
Replace Mario Vilatobá with:
Mario Vilatobá Mexico
Shinya Ueki Japan
Kaori Isono Japan
Gustaf Herlenius Sweden
Xupeng Ge United States
Jianping Gong China
Tejasav S. Sehrawat United States
Delai Zhao Switzerland
Ying‐Qian Mo China
Harald Schuett Germany
Sacha Robert relative to Mario Vilatobá Mexico Mario Vilatobá's profile →
Citations per field
00.5×
Mario Vilatobá · 1×
Citations per year

Countries citing papers authored by Sacha Robert

Since Specialization
Citations

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

Fields of papers citing papers by Sacha Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016155
2
Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling
Hit paper breakdown →
2021154
3 2016135
4 2015106
5 202156
6 201435
7 201710
8 20198
9 20217
10 20167
11 20185
12 20244

About Sacha Robert

Sacha Robert is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Hepatology and Surgery, having authored 12 papers that have together received 682 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Inflammasome and immune disorders (4 papers), Liver physiology and pathology (3 papers), Adenosine and Purinergic Signaling (2 papers), Neonatal Respiratory Health Research (2 papers), Liver Diseases and Immunity (1 paper), Pluripotent Stem Cells Research (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hepatology (145 citations), Physiology (51 citations), Epidemiology (239 citations), Nephrology (35 citations) and Immunology (99 citations). Sacha Robert has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Vincent Lagente, Thomas Gicquel, Elisabeth Boichot, Tatiana Victoni, Emiliano Barreto, Samuel Santos Valença, Béatrice Bailly‐Maitre, Xavier S. Revelo, Haiguang Wang and Katrina Dietsche. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Molecular Metabolism, Bioscience Reports, International Immunopharmacology and Journal of Cellular Physiology.

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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