Deanna M. Thompson

1.6k citations
30 papers · 1.2k indexed · h-index 20

Deanna M. Thompson

29 papers receiving 1.2k citations

Peers

Deanna M. Thompson
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 706
  • Developmental Neuroscience 107
  • Biomaterials 289
  • Biomedical Engineering 645
  • Cell Biology 103
Replace Micaela Grandolfo with:
Micaela Grandolfo Italy
Jonathan M. Zuidema United States
Joseph M. Corey United States
Curt Deister United States
Jacob Koffler United States
Lohitash Karumbaiah United States
Min D. Tang‐Schomer United States
Vivek Mukhatyar United States
Teng Ma China
Robert F. Valentini United States
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Citations per field
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Citations per year

Countries citing papers authored by Deanna M. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Deanna M. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201892
2 201710
3 2016110
4 201521
5 201454
6 201481
7 20138
8 201391
9 20119
10 201198
11 201027
12 201045
13 200957
14 200820
15 200843
16 200693
17 200538
18 200452
19 2004130
20 200163

About Deanna M. Thompson

Deanna M. Thompson is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology, Biomaterials and Biomedical Engineering, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nerve injury and regeneration (15 papers), Neuroscience and Neural Engineering (9 papers), 3D Printing in Biomedical Research (9 papers), Cellular Mechanics and Interactions (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Planarian Biology and Electrostimulation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (706 citations), Developmental Neuroscience (107 citations), Biomaterials (289 citations), Biomedical Engineering (645 citations) and Cell Biology (103 citations). Deanna M. Thompson has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Helen M. Buettner, Abigail N. Koppes, Ryan J. Gilbert, Kevin R. King, Martin L. Yarmush, K J Wieder, Jonathan M. Zuidema, Mehmet Toner, Christopher J. Rivet and John G. Hardy. Their work appears in journals such as Annals of Biomedical Engineering, Journal of Neural Engineering, Tissue Engineering Part C Methods, Tissue Engineering Part A and Applied Surface Science.

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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