I. A. Macchi

436 citations
25 papers · 316 · h-index 10

Impact in

Papers in

I. A. Macchi

25 papers receiving 262 citations

Peers

I. A. Macchi
Comparison fields: 5 of 65
  • Behavioral Neuroscience 51
  • Endocrinology, Diabetes and Metabolism 121
  • Physiology 17
  • Animal Science and Zoology 32
  • Small Animals 17
Replace W. E. Griesbach with:
W. E. Griesbach New Zealand
M Herlant Belgium
M. C. Richardson United Kingdom
Masataka Shiino United States
M. de Turckheim France
Diane E. Suter United States
D. P. Boshier New Zealand
H. Weber United States
H. M. A. Meijs-Roelofs Netherlands
Reggie H. Stevens United States
I. A. Macchi relative to W. E. Griesbach New Zealand W. E. Griesbach's profile →
Citations per field
00.5×
W. E. Griesbach · 1×
Citations per year

Countries citing papers authored by I. A. Macchi

Since Specialization
Citations

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

Fields of papers citing papers by I. A. Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside I. A. 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 I. A. Macchi Line = papers co-authored together I. A. Macchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195475
2 196643
3 196923
4 200222
5 196718
6 195518
7 195517
8 195411
9 195410
10 19629
11 19609
12 19638
13 19637
14 19737
15 19547
16 19547
17 19655
18 19744
19 19643
20 19663

About I. A. Macchi

I. A. Macchi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Animal Science and Zoology and Ecology, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diet and metabolism studies (4 papers), Adrenal Hormones and Disorders (4 papers), Adipose Tissue and Metabolism (4 papers), Hormonal Regulation and Hypertension (4 papers), Diabetes Management and Research (3 papers), Physiological and biochemical adaptations (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Behavioral Neuroscience (51 citations), Endocrinology, Diabetes and Metabolism (121 citations), Physiology (17 citations), Animal Science and Zoology (32 citations) and Small Animals (17 citations). I. A. Macchi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include John G. Phillips, Oscar Hechter, Edward H. Kass, Leland C. Wyman, Howard A. Frank, E.D. Frank, Alain Sadoun, A. Brizard, François Guilhot and C. R. Scheid. Their work appears in journals such as Endocrinology, Experimental Biology and Medicine, American Journal of Physiology-Legacy Content, General and Comparative Endocrinology and The Anatomical Record.

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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