I. A. Macchi

436 citations
26 papers · 378 · h-index 11

Impact in

Papers in

I. A. Macchi

25 papers receiving 290 citations

Peers

I. A. Macchi
Comparison fields: 5 of 71
  • Behavioral Neuroscience 54
  • Endocrinology, Diabetes and Metabolism 140
  • Physiology 22
  • Animal Science and Zoology 33
  • Ecology 65
Replace W. E. Griesbach with:
W. E. Griesbach New Zealand
Masataka Shiino United States
Diane E. Suter United States
M. de Turckheim France
Yuji Okawara Japan
Reggie H. Stevens United States
A. A. Zaidi Pakistan
Ch. Jean‐Faucher France
Chantal Wrutniak France
H. A. Bern 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195487
2 196648
3 200227
4 196925
5 196723
6 195522
7 195522
8 195417
9 196216
10 195411
11 195411
12 19609
13 19549
14 19638
15 19738
16 19638
17 19655
18 19744
19 19664
20 19614

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 26 papers that have together received 378 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 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), Diabetes and associated disorders (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Behavioral Neuroscience (54 citations), Endocrinology, Diabetes and Metabolism (140 citations), Physiology (22 citations), Animal Science and Zoology (33 citations) and Ecology (65 citations). I. A. Macchi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Oscar Hechter, John G. Phillips, Edward H. Kass, Leland C. Wyman, E.D. Frank, Howard A. Frank, A. Brizard, Alain Sadoun, François Guilhot and Wolfgang Beyer. Their work appears in journals such as Endocrinology, Experimental Biology and Medicine, American Journal of Physiology-Legacy Content, General and Comparative Endocrinology and The Journal of Cell Biology.

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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