C. Macor

496 citations
17 papers · 420 · h-index 9

Impact in

Papers in

    • Adipose Tissue and Metabolism 9
    • Diet and metabolism studies 5
    • Metabolism, Diabetes, and Cancer 2
    • Peroxisome Proliferator-Activated Receptors 2

C. Macor

17 papers receiving 407 citations

Peers

C. Macor
Comparison fields: 5 of 68
  • Endocrine and Autonomic Systems 66
  • Endocrinology, Diabetes and Metabolism 155
  • Reproductive Medicine 62
  • Physiology 165
  • Nutrition and Dietetics 49
Replace Magda M.I. Hennes with:
Magda M.I. Hennes United States
Roberto Orlandi Italy
Tsuyoshi Okura Japan
Ceylan Ayada Türkiye
Elena Breda United States
Birgitta Odén Sweden
Felicja Lwow Poland
Zekiye Çatak Türkiye
L. Camellini Italy
Paolo Desenzani Italy
C. Macor relative to Magda M.I. Hennes United States Magda M.I. Hennes's profile →
Citations per field
00.5×1.5×2.4×
Magda M.I. Hennes · 1×
Citations per year

Countries citing papers authored by C. Macor

Since Specialization
Citations

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

Fields of papers citing papers by C. Macor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199791
2 200091
3 199764
4 199851
5 199726
6 199319
7 199318
8 200010
9 19949
10
Increased muscular phospholipase A2 activity in diabetic rats.
19928
11
INCREASED MUSCULAR PHOSPHOLIPASE-A2 ACTIVITY IN DIABETIC RATS
19927
12 19986
13 19975
14 19895
15 19944
16
[Postprandial thermogenesis and obesity: effects of glucose and fructose].
19913
17
[Study of diet-induced thermogenesis using telethermography in normal and obese subjects].
19893

About C. Macor

C. Macor is a scholar working on Physiology, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Diet and metabolism studies (5 papers), Diet, Metabolism, and Disease (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Endocrinology, Diabetes and Metabolism (155 citations), Reproductive Medicine (62 citations), Physiology (165 citations) and Nutrition and Dietetics (49 citations). C. Macor has collaborated with scholars based in Italy. Frequent co-authors include Roberto Vettor, Giovanni Federspil, Claudio Cobelli, Alfredo Ruggeri, Enzo Nisoli, Cristina Tonello, Valentina Vicennati, Michele O. Carruba, Francesco Casimirri and Stefano Boschi. Their work appears in journals such as Metabolism, Acta Diabetologica, Seminars in Thrombosis and Hemostasis, Diabetes & Metabolism and Life Sciences.

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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