Michelle Maynard

1.2k citations
18 papers · 582 · h-index 10

Impact in

Papers in

Michelle Maynard

16 papers receiving 566 citations

Peers

Michelle Maynard
Comparison fields: 5 of 64
  • Developmental Neuroscience 155
  • Emergency Medicine 188
  • Pathology and Forensic Medicine 374
  • Endocrinology, Diabetes and Metabolism 61
  • Cardiology and Cardiovascular Medicine 73
Replace Matthew Montgomery with:
Matthew Montgomery United States
John Yap United Kingdom
Moriharu Ishida Japan
Hidetaka Wakiyama Japan
Elena C. Lascano Argentina
Julia Solares Spain
Motohiko Osako Japan
M. Kitakaze Japan
L. H. Michael United States
Amal Bose United Kingdom
Michelle Maynard relative to Matthew Montgomery United States Matthew Montgomery's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Michelle Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005180
2 2008112
3 2010109
4 201452
5 201428
6 200521
7 202212
8 201711
9 201611
10 200610
11 20229
12 20228
13 20057
14 20086
15 20185
16 20071
17 20240
18 20250

About Michelle Maynard

Michelle Maynard is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Emergency Medicine, Oncology and Molecular Biology, having authored 18 papers that have together received 582 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Cardiac Arrest and Resuscitation (5 papers), Cancer-related Molecular Pathways (3 papers), Thyroid Disorders and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Mitochondrial Function and Pathology (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Developmental Neuroscience (155 citations), Emergency Medicine (188 citations), Pathology and Forensic Medicine (374 citations), Endocrinology, Diabetes and Metabolism (61 citations) and Cardiology and Cardiovascular Medicine (73 citations). Michelle Maynard has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Karin Przyklenk, Peter Whittaker, Chad E. Darling, Jakob Vinten‐Johansen, Rong Jiang, Dale L. Greiner, Stephen A. Huang, Huai‐Dong Song, Henry A. Feldman and Cuicui Guo. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation, Cancer Research, Multiple Sclerosis and Related Disorders and International Journal of STD & AIDS.

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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