C Macchi

43 papers receiving 506 citations

Peers

C Macchi
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 153
  • Behavioral Neuroscience 45
  • Cellular and Molecular Neuroscience 170
  • Endocrinology, Diabetes and Metabolism 87
  • Nutrition and Dietetics 73
Replace Y Hirooka with:
Y Hirooka Japan
Narutoshi Kabashima Japan
Hessameh Hassani Sweden
Frédéric Lenne France
Wint Nandar United States
Lori Khrimian United States
Mieczyslaw Michalkiewicz United States
Niall C. H. Kerr United Kingdom
A Mitro Slovakia
Q. Hamid United Kingdom
C Macchi relative to Y Hirooka Japan Y Hirooka's profile →
Citations per field
00.5×1.5×2.4×
Y Hirooka · 1×
Citations per year

Countries citing papers authored by C Macchi

Since Specialization
Citations

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

Fields of papers citing papers by C Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200655
2 200343
3 200037
4 200434
5 199530
6 199828
7 200627
8 199624
9 200421
10 200420
11 199819
12 200617
13 200314
14 198912
15 199512
16 200712
17 200311
18 200811
19 200710
20 20019

About C Macchi

C Macchi is a scholar working on Cellular and Molecular Neuroscience, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 45 papers that have together received 535 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Hormonal Regulation and Hypertension (11 papers), Receptor Mechanisms and Signaling (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Stress Responses and Cortisol (4 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (153 citations), Behavioral Neuroscience (45 citations), Cellular and Molecular Neuroscience (170 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Nutrition and Dietetics (73 citations). C Macchi has collaborated with scholars based in Italy, Poland and India. Frequent co-authors include Gastone G. Nussdorfer, Ludwik K. Malendowicz, L K Malendowicz, Piera Rebuffat, Raffaella Spinazzi, Anna Markowska, Marcin Trejter, Agnieszka Ziółkowska, Cinzia Tortorella and Krzysztof W. Nowak. Their work appears in journals such as International Journal of Molecular Medicine, Neuropeptides, Endocrine Research, Clinical Anatomy and The Journal of Laryngology & Otology.

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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