C Macchi

46 papers receiving 529 citations

Peers

C Macchi
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 160
  • Behavioral Neuroscience 43
  • Cellular and Molecular Neuroscience 171
  • Endocrinology, Diabetes and Metabolism 85
  • Nutrition and Dietetics 66
Replace Y Hirooka with:
Y Hirooka Japan
B Miśkowiak Poland
Hessameh Hassani Sweden
J Rózniecki Poland
Frédéric Lenne France
T Wexler United States
Teresa Michalkiewicz United States
Lori Khrimian United States
C.-J. Dalsgaard Sweden
Hitoshi Bamba Japan
C Macchi relative to Y Hirooka Japan Y Hirooka's profile →
Citations per field
00.5×1.5×2.3×
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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200661
2 200348
3 200038
4 200434
5 199531
6 199828
7 200628
8 199624
9 200422
10 200421
11 199820
12 200617
13 200316
14 198913
15 199513
16 200712
17 200812
18 200311
19 200710
20 20019

About C Macchi

C Macchi is a scholar working on Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 47 papers that have together received 564 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (11 papers), Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Regulation of Appetite and Obesity (4 papers), Stress Responses and Cortisol (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (160 citations), Behavioral Neuroscience (43 citations), Cellular and Molecular Neuroscience (171 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Nutrition and Dietetics (66 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, Marcin Trejter, Cinzia Tortorella, Agnieszka Ziółkowska, Krzysztof W. Nowak and Anna Markowska. Their work appears in journals such as International Journal of Molecular Medicine, Neuropeptides, Clinical Anatomy, European Journal of Neurology and The Journal of Urology.

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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