Marc A. Bruce

906 citations
23 papers · 723 · h-index 16

Impact in

Papers in

Marc A. Bruce

22 papers receiving 705 citations

Peers

Marc A. Bruce
Comparison fields: 5 of 103
  • Pharmaceutical Science 76
  • Endocrine and Autonomic Systems 53
  • Cellular and Molecular Neuroscience 130
  • Organic Chemistry 195
  • Cell Biology 72
Replace Craig A. McElroy with:
Craig A. McElroy United States
Masao Wada Japan
Lauren Evoy Davis United States
Jürgen Lasch Germany
Katherine Lansu United States
Helmut Franke Germany
Nadia Oueslati France
Hui Deng China
Ashish Patel United States
Gail K. Mattson United States
Marc A. Bruce relative to Craig A. McElroy United States Craig A. McElroy's profile →
Citations per field
00.5×8.8×
Craig A. McElroy · 1×
Citations per year

Countries citing papers authored by Marc A. Bruce

Since Specialization
Citations

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

Fields of papers citing papers by Marc A. Bruce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012107
2 200477
3 201376
4 201768
5 200347
6
Multi-cellular interactions sustain long-term contractility of human pluripotent stem cell-derived cardiomyocytes.
201444
7 199841
8 201139
9 201334
10 200833
11 200230
12 199329
13 199617
14 199517
15 200416
16 200415
17 199413
18 201410
19 20155
20 20192

About Marc A. Bruce

Marc A. Bruce is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Cell Biology and Endocrine and Autonomic Systems, having authored 23 papers that have together received 723 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers), Cellular Mechanics and Interactions (3 papers), Pluripotent Stem Cells Research (2 papers), Force Microscopy Techniques and Applications (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Circadian rhythm and melatonin (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Pharmaceutical Science (76 citations), Endocrine and Autonomic Systems (53 citations), Cellular and Molecular Neuroscience (130 citations), Organic Chemistry (195 citations) and Cell Biology (72 citations). Marc A. Bruce has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Manish J. Butte, Joseph C. Wu, Ning Sun, Jianwei Liu, Kenneth H. Hu, Timothy J. Thauland, Graham S. Poindexter, Lawrence G. Iben, Rachel T. McGovern and Cathy D. Mahle. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron, Bioorganic & Medicinal Chemistry, PLoS ONE and Immunologic Research.

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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