I. MacIntyre

248 papers receiving 13.6k citations

I. MacIntyre's Hit Papers

Calcitonin gene-related peptide is a potent vasodilator 1985 · 1.9k citations
1.9k0+13+27Years since publication50010001.5k

Peers

I. MacIntyre
Comparison fields: 5 of 153
  • Cellular and Molecular Neuroscience 6.6k
  • Endocrine and Autonomic Systems 1.1k
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Nephrology 805
  • Behavioral Neuroscience 397
Replace Mone Zaidi with:
Mone Zaidi United States
Joel F. Habener United States
Fumiaki Marumo Japan
Howard Rasmussen United States
Armen H. Tashjian United States
Hiroo Imura Japan
Sylvia Christakos United States
Akiyoshi Fukamizu Japan
Leonard J. Deftos United States
John T. Potts United States
I. MacIntyre relative to Mone Zaidi United States Mone Zaidi's profile →
Citations per field
00.5×3.9×
Mone Zaidi · 1×
Citations per year

Countries citing papers authored by I. MacIntyre

Since Specialization
Citations

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

Fields of papers citing papers by I. MacIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Calcitonin gene-related peptide is a potent vasodilator
Hit paper breakdown →
19851877
2 1985416
3 1984382
4 1985347
5 1985296
6 1991268
7 1964217
8 2001213
9 2018205
10 1958202
11 1982198
12 1986194
13 1989194
14 1985192
15 1964186
16 1995183
17 1979172
18 1988172
19 1985167
20 1988165

About I. MacIntyre

I. MacIntyre is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Oncology and Physiology, having authored 257 papers that have together received 15.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (78 papers), Receptor Mechanisms and Signaling (24 papers), Bone health and treatments (23 papers), Hormonal Regulation and Hypertension (22 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Hypothalamic control of reproductive hormones (17 papers), Signaling Pathways in Disease (15 papers) and Bone Metabolism and Diseases (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.6k citations), Endocrine and Autonomic Systems (1.1k citations), Endocrinology, Diabetes and Metabolism (2.5k citations), Nephrology (805 citations) and Behavioral Neuroscience (397 citations). I. MacIntyre has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Howard R. Morris, John R. Tippins, Samia I. Girgis, Mone Zaidi, Susan D. Brain, T.J. Williams, C. J. Hillyard, P.C. Emson, Giraud V. Foster and M. Tohyama. Their work appears in journals such as The Lancet, Brain Research, Biochemical and Biophysical Research Communications, Journal of Endocrinology and Nature.

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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