C Macchi

672 citations
45 papers · 562 · h-index 13

Impact in

Papers in

C Macchi

44 papers receiving 529 citations

Peers

C Macchi
Comparison fields: 5 of 62
  • Endocrine and Autonomic Systems 97
  • Cellular and Molecular Neuroscience 161
  • Behavioral Neuroscience 27
  • Anatomy 17
  • Endocrinology, Diabetes and Metabolism 75
Replace Tadashi Katagiri with:
Tadashi Katagiri Japan
Masaki Miura Japan
D.J. O’Shaughnessy United Kingdom
Jessica L. Costa New Zealand
Jürg Girard Switzerland
Hideo Ohnishi Japan
N. Eric Naftchi United States
Damdindorj Boldbaatar Mongolia
Harold Wilson United Kingdom
Wanling Zhu United States
C Macchi relative to Tadashi Katagiri Japan Tadashi Katagiri's profile →
Citations per field
00.5×2×4×6×8×9×
Tadashi Katagiri · 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 200663
2 200348
3 200040
4 200434
5 199532
6 199828
7 200627
8 199624
9 200422
10 199821
11 200420
12 200618
13 200316
14 198913
15 200813
16 199512
17 200712
18 200311
19 200710
20 20019

About C Macchi

C Macchi is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrine and Autonomic Systems and Surgery, having authored 45 papers that have together received 562 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Adrenal Hormones and Disorders (9 papers), Hormonal Regulation and Hypertension (8 papers), Stress Responses and Cortisol (6 papers), Regulation of Appetite and Obesity (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (97 citations), Cellular and Molecular Neuroscience (161 citations), Behavioral Neuroscience (27 citations), Anatomy (17 citations) and Endocrinology, Diabetes and Metabolism (75 citations). C Macchi has collaborated with scholars based in Italy, Poland and India. Frequent co-authors include Gastone Giovanni Nussdorfer, Ludwik K. Malendowicz, Ludwik 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, Endocrine Research, The Journal of Urology and Clinical Anatomy.

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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