Cyrielle Caussy

6.4k citations
55 papers · 2.8k indexed · 5 hit papers · h-index 23

Cyrielle Caussy

49 papers receiving 2.7k citations

Hit Papers

The Relationship Between Type 2 Diabetes, NAFLD,...1522017202620202023100200300

Peers

Cyrielle Caussy
Comparison fields: 5 of 103
  • Hepatology 1.1k
  • Epidemiology 2.2k
  • Endocrinology, Diabetes and Metabolism 727
  • Physiology 502
  • Molecular Biology 764
Replace Jeremy Cobbold with:
Jeremy Cobbold United Kingdom
Münevver Demir Germany
David Ka‐Wai Yeung Hong Kong
Jan‐Peter Sowa Germany
Lars P. Bechmann Germany
Raluca Pais France
Wah‐Kheong Chan Malaysia
Luis Calzadilla Bertot Australia
Meena B. Bansal United States
Hans Blokzijl Netherlands
Cyrielle Caussy relative to Jeremy Cobbold United Kingdom Jeremy Cobbold's profile →
Citations per field
00.5×1.7×
Jeremy Cobbold · 1×
Citations per year

Countries citing papers authored by Cyrielle Caussy

Since Specialization
Citations

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

Fields of papers citing papers by Cyrielle Caussy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20250
4 20240
5 20240
6 202435
7 20247
8 20232
9 20231
10 20227
11 20206
12 2020144
13 201946
14 201929
15 201813
16 201845
17
Optimal threshold of controlled attenuation parameter with MRI‐PDFF as the gold standard for the detection of hepatic steatosisbreakdown →
2017273
18 201710
19 201621
20 201448

About Cyrielle Caussy

Cyrielle Caussy is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (43 papers), Liver Disease and Transplantation (18 papers), Diet, Metabolism, and Disease (14 papers), Diet and metabolism studies (9 papers), Liver Diseases and Immunity (9 papers), Lipid metabolism and disorders (6 papers), Pancreatitis Pathology and Treatment (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (2.2k citations) and Endocrinology, Diabetes and Metabolism (727 citations). Cyrielle Caussy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Rohit Loomba, Claude B. Sirlin, Scott B. Reeder, Ricki Bettencourt, Lisa Richards, Jean‐François Dufour, Shirin Bassirian, Jonathan Hooker, David A. Brenner and Emily Rizo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

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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