Maxime Nachit

1.1k citations
21 papers · 805 · h-index 14

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

    • Liver Disease Diagnosis and Treatment 9
    • Nutrition and Health in Aging 6
    • Body Composition Measurement Techniques 3
    • Diet and metabolism studies 1

Maxime Nachit

21 papers receiving 798 citations

Peers

Maxime Nachit
Comparison fields: 5 of 75
  • Physiology 358
  • Hepatology 75
  • Epidemiology 256
  • Geriatrics and Gerontology 22
  • Molecular Biology 246
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Jie You China
Yuichi Torisu Japan
Miyuki Yokoyama Japan
Dinesh Kadariya United States
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Dan‐Qin Sun China
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Citations per field
00.5×2.9×
Jie You · 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 2015170
2 202178
3 202178
4 202374
5 201765
6 201957
7 202054
8 202145
9 201944
10 202134
11 202028
12 202227
13 202320
14 202213
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 Epidemiology, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 21 papers that have together received 805 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Nutrition and Health in Aging (6 papers), Body Composition Measurement Techniques (3 papers), Liver Disease and Transplantation (2 papers), Diet and metabolism studies (1 paper), Liver Diseases and Immunity (1 paper), Muscle Physiology and Disorders (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Physiology (358 citations), Hepatology (75 citations), Epidemiology (256 citations), Geriatrics and Gerontology (22 citations) and Molecular Biology (246 citations). Maxime Nachit has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Isabelle Leclercq, Jean‐Paul Thissen, Pierre Tréfois, Yves Horsmans, Marie de Barsy, Audrey Loumaye, Damien Gruson, Aline van Maanen, Pascale Lause and Laure B. Bindels. Their work appears in journals such as JHEP Reports, Journal of Cachexia Sarcopenia and Muscle, Scientific Reports, Nature Communications 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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