Iona Isaac

462 citations
10 papers · 350 · h-index 7

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Nuclear Structure and Function 1
    • Protein Kinase Regulation and GTPase Signaling 1

Iona Isaac

10 papers receiving 339 citations

Peers

Iona Isaac
Comparison fields: 5 of 71
  • Biochemistry 126
  • Endocrine and Autonomic Systems 100
  • Aging 7
  • Behavioral Neuroscience 11
  • Physiology 74
Replace Tatiane C.A. Nogueira with:
Tatiane C.A. Nogueira Brazil
Dapeng Ju China
Arnaldo Henrique de Souza United States
Jennifer M. Rojas United States
Fumio Nambu Japan
Rie Komatsu Japan
Khalil Bouyakdan Canada
Ivonne Bazwinsky‐Wutschke Germany
Nathalie Lepetit France
Ngoc Ly T. Nguyen United States
Iona Isaac relative to Tatiane C.A. Nogueira Brazil Tatiane C.A. Nogueira's profile →
Citations per field
00.5×11.5×
Tatiane C.A. Nogueira · 1×
Citations per year

Countries citing papers authored by Iona Isaac

Since Specialization
Citations

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

Fields of papers citing papers by Iona Isaac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1986117
2 2016104
3 201455
4 201420
5 201420
6 201520
7
Effect of hydrocortisone on basal and apomorphine-induced growth hormone secretion in normal subjects.
19889
8 19903
9 20151
10 20141

About Iona Isaac

Iona Isaac is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 10 papers that have together received 350 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Lipid metabolism and biosynthesis (2 papers), Metabolism and Genetic Disorders (1 paper), Pancreatic function and diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), Diabetes Treatment and Management (1 paper), Nuclear Structure and Function (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Biochemistry (126 citations), Endocrine and Autonomic Systems (100 citations), Aging (7 citations), Behavioral Neuroscience (11 citations) and Physiology (74 citations). Iona Isaac has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include N.P.V. Nair, Joseph Thavundayil, Carmencita Pilapil, Satish Patel, David B. Savage, Vladimı́r Saudek, Michael L. Mimmack, António Daniel Barbosa, Afreen Haider and Symeon Siniossoglou. Their work appears in journals such as Biological Psychiatry, Diabetes, Nephron Physiology, Journal of Biological Chemistry and Diabetic Medicine.

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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