Mary E. Todd

30 papers receiving 573 citations

Peers

Mary E. Todd
Comparison fields: 5 of 102
  • Neurology 70
  • Physiology 136
  • Cardiology and Cardiovascular Medicine 95
  • Ecology 108
  • Cellular and Molecular Neuroscience 70
Replace Hirosuke Fujisawa with:
Hirosuke Fujisawa Japan
Torill Berg Norway
Nikolaï N. Modyanov United States
Susan E. Luff Australia
Masaki Kobayashi Japan
Judith T. Parmelee United States
Yukiko Matsui Japan
Masahiko Miyata Japan
Mario Marotta Spain
Daniel Gendron Canada
Mary E. Todd relative to Hirosuke Fujisawa Japan Hirosuke Fujisawa's profile →
Citations per field
00.5×1.5×1.8×
Hirosuke Fujisawa · 1×
Citations per year

Countries citing papers authored by Mary E. Todd

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Todd. 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 Mary E. Todd. The network helps show where Mary E. Todd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199099
2 196342
3 198341
4 199437
5 196437
6 196535
7 197232
8 196430
9 199230
10 199523
11 198623
12 198121
13 199119
14 198119
15 197816
16 198915
17 199515
18 199014
19 199114
20 200312

About Mary E. Todd

Mary E. Todd is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Neurology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 30 papers that have together received 629 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Physiological and biochemical adaptations (3 papers), Photodynamic Therapy Research Studies (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Muscle metabolism and nutrition (2 papers), Receptor Mechanisms and Signaling (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Renal and Vascular Pathologies (2 papers). The work is most often cited by research in Neurology (70 citations), Physiology (136 citations), Cardiology and Cardiovascular Medicine (95 citations), Ecology (108 citations) and Cellular and Molecular Neuroscience (70 citations). Mary E. Todd has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael J. Robinson, James McCulloch, I. Mhairi Macrae, Sydney M. Friedman, John L. Reid, W. T. W. Potts, Mariko K. Tokito, York N. Hsiang, John Hugh McNeill and Soter Dai. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Circulation Research, Journal of Experimental Biology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Photochemistry and Photobiology B 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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