M. Tadayyon

13 papers receiving 986 citations

Peers

M. Tadayyon
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 493
  • Cognitive Neuroscience 448
  • Experimental and Cognitive Psychology 269
  • Pediatrics, Perinatology and Child Health 180
  • Genetics 168
Replace Andrew M. Blanks with:
Andrew M. Blanks United Kingdom
Wei Ba China
Patricia A. Findlay United Kingdom
J Przała Poland
M Lagoguey France
Michael J. Boden Australia
Thomas Bollinger Germany
Patty Chen France
Alain Locatelli France
Sean P. Flynn United States
M. Tadayyon relative to Andrew M. Blanks United Kingdom Andrew M. Blanks's profile →
Citations per field
00.5×4.2×
Andrew M. Blanks · 1×
Citations per year

Countries citing papers authored by M. Tadayyon

Since Specialization
Citations

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

Fields of papers citing papers by M. Tadayyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000263
2 1999254
3 2011247
4 1990111
5 199649
6 199427
7 199814
8 199214
9 199011
10 19888
11 19924
12 19873
13
Pharmacological interference with phospholipase A2 activity reveals mechanistic differences between glucose and glyceraldehyde induced insulin release: implication for coupling of glucose metabolism to phospholipase A2 activity.
19932

About M. Tadayyon

M. Tadayyon is a scholar working on Endocrine and Autonomic Systems, Molecular Medicine, Genetics, Endocrinology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Bacterial Genetics and Biotechnology (4 papers), Regulation of Appetite and Obesity (3 papers), Diet, Metabolism, and Disease (2 papers), Bacteriophages and microbial interactions (2 papers), Sleep and related disorders (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (493 citations), Cognitive Neuroscience (448 citations), Experimental and Cognitive Psychology (269 citations), Pediatrics, Perinatology and Child Health (180 citations) and Genetics (168 citations). M. Tadayyon has collaborated with scholars based in United Kingdom, France and United Arab Emirates. Frequent co-authors include Jenny K. Broome‐Smith, Jonathan R.S. Arch, Amanda Johns, Helen Chapman, Roderick A. Porter, Brian A. Jackson, Andrea Haynes, Peter Widdowson, Robin E. Buckingham and Gareth Williams. Their work appears in journals such as Molecular Microbiology, Gene, Life Sciences, Regulatory Peptides and Diabetes.

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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