Maxime Nachit

1.0k citations
21 papers · 760 · h-index 13

Impact in

  • Physiology top 5%
    • Nutrition and Health in Aging
    • Diet and metabolism studies
    • Body Composition Measurement Techniques
  • Hepatology top 10%
    • Liver Disease and Transplantation

Papers in

    • Nutrition and Health in Aging 13
    • Body Composition Measurement Techniques 3
    • Liver Disease Diagnosis and Treatment 12

Maxime Nachit

21 papers receiving 753 citations

Peers

Maxime Nachit
Comparison fields: 5 of 74
  • Physiology 438
  • Hepatology 116
  • Geriatrics and Gerontology 41
  • Epidemiology 319
  • Nephrology 31
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Citations per field
00.5×4.1×
Miyuki Yokoyama · 1×
Citations per year

Countries citing papers authored by Maxime Nachit

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Nachit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015166
2 202177
3 202170
4 201764
5 202359
6 201957
7 202050
8 202143
9 201941
10 202133
11 202026
12 202226
13 202319
14 202211
15
Comparison between abdominal fat measured by CT and anthropometric indices as prediction factors for mortality and morbidity after colorectal surgery.
20196
16 20214
17 20233
18 20212
19 20201
20
NON-INVASIVE DETECTION OF MYOSTEATOSIS AS A TOOL TO PREDICT NASH IN THE CONTEXT OF METABOLIC SYNDROME AND OBESITY
20191

About Maxime Nachit

Maxime Nachit is a scholar working on Physiology, Epidemiology, Hepatology, Molecular Biology and Rheumatology, having authored 21 papers that have together received 760 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Body Composition Measurement Techniques (3 papers), GDF15 and Related Biomarkers (3 papers), Muscle Physiology and Disorders (3 papers), Liver Disease and Transplantation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Physiology (438 citations), Hepatology (116 citations), Geriatrics and Gerontology (41 citations), Epidemiology (319 citations) and Nephrology (31 citations). Maxime Nachit has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Isabelle Leclercq, Jean‐Paul Thissen, Pierre Tréfois, Damien Gruson, Marie de Barsy, Aline van Maanen, Pascale Lause, Audrey Loumaye, Yves Horsmans and Laure B. Bindels. Their work appears in journals such as JHEP Reports, Journal of Cachexia Sarcopenia and Muscle, Scientific Reports, Journal of Hepatology and Nature Communications.

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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