Grace A. Blair

897 citations
13 papers · 636 · h-index 8

Impact in

Papers in

Grace A. Blair

10 papers receiving 633 citations

Peers

Grace A. Blair
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 152
  • Cellular and Molecular Neuroscience 346
  • Cognitive Neuroscience 223
  • Behavioral Neuroscience 26
  • Molecular Biology 191
Replace Tevye Jason Stachniak with:
Tevye Jason Stachniak Canada
Yevgenij Yanovsky Germany
Christin Kosse United States
Leandro Bueno Lima Brazil
Kauê Machado Costa United States
Brooke C. Jarvie United States
Barbara G. Border United States
Yanling Xu China
Ikue Kusumoto‐Yoshida Japan
Francisco Martín‐Cora Spain
Grace A. Blair relative to Tevye Jason Stachniak Canada Tevye Jason Stachniak's profile →
Citations per field
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Tevye Jason Stachniak · 1×
Citations per year

Countries citing papers authored by Grace A. Blair

Since Specialization
Citations

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

Fields of papers citing papers by Grace A. Blair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace A. Blair. 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 Grace A. Blair. The network helps show where Grace A. Blair may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013282
2 2016253
3 202124
4 201918
5 202315
6 202114
7 202414
8 202212
9 20243
10 20241
11 20220
12 20240
13 20250

About Grace A. Blair

Grace A. Blair is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry, Oncology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 13 papers that have together received 636 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), Chemokine receptors and signaling (3 papers), Electrochemical Analysis and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cardiovascular Effects of Exercise (1 paper), Cell Adhesion Molecules Research (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (152 citations), Cellular and Molecular Neuroscience (346 citations), Cognitive Neuroscience (223 citations), Behavioral Neuroscience (26 citations) and Molecular Biology (191 citations). Grace A. Blair has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Garret D. Stuber, Alice M. Stamatakis, Marcus L. Basiri, Pranish A. Kantak, Maaike M.H. van Swieten, Joanna Mattis, Joshua H. Jennings, Richard J. Weinberg, Rachael L. Neve and Randall L. Ung. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Frontiers in Immunology, Circulation Research, Pflügers Archiv - European Journal of Physiology and Neuron.

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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