M. Nechad

824 citations
17 papers · 725 · h-index 13

Impact in

  • Physiology top 2%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Exercise and Physiological Responses

Papers in

    • Adipose Tissue and Metabolism 17
    • Diet and metabolism studies 4
    • Muscle metabolism and nutrition 7

M. Nechad

17 papers receiving 694 citations

Peers

M. Nechad
Comparison fields: 5 of 52
  • Physiology 655
  • Rehabilitation 86
  • Endocrine and Autonomic Systems 73
  • Cell Biology 183
  • Biochemistry 68
Replace G. Mory with:
G. Mory France
Elaine Preston Australia
Olof Dallner United States
Donna Wilks Australia
F. Lasnier France
Brigitte Agli France
Jon Merlin Australia
Tae Seok Oh South Korea
María V. Cascajo Spain
Carlos K. Katashima Brazil
M. Nechad relative to G. Mory France G. Mory's profile →
Citations per field
00.5×1.5×
G. Mory · 1×
Citations per year

Countries citing papers authored by M. Nechad

Since Specialization
Citations

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

Fields of papers citing papers by M. Nechad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside M. Nechad, 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 M. Nechad Line = papers co-authored together M. Nechad links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1990176
2 1983137
3 198969
4 198763
5 199444
6 198342
7 199039
8 198239
9 198324
10 198323
11 198922
12
Effects of cold adaptation and re-adaptation upon the mitochondrial phospholipids of brown adipose tissue.
197815
13 198413
14 19849
15 19785
16 19954
17 19841

About M. Nechad

M. Nechad is a scholar working on Physiology, Cell Biology, Rehabilitation, Nutrition and Dietetics and Biochemistry, having authored 17 papers that have together received 725 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Muscle metabolism and nutrition (7 papers), Diet and metabolism studies (4 papers), Fatty Acid Research and Health (3 papers), Exercise and Physiological Responses (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Pharmacological Effects and Assays (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Physiology (655 citations), Rehabilitation (86 citations), Endocrine and Autonomic Systems (73 citations), Cell Biology (183 citations) and Biochemistry (68 citations). M. Nechad has collaborated with scholars based in France, Sweden and Czechia. Frequent co-authors include Barbara Cannon, Jan Nedergaard, David K. Herron, Stefan Rehnmark, G. Mory, C. Carneheim, Per Björntorp, Daniel Ricquier, J.-F. Thibault and Ulf Sundin. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Experimental Cell Research, Biology of the Cell, Biochemical Society Transactions and Journal of Biological Chemistry.

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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