Danielle C. Stevenson

407 total citations
7 papers, 288 citations indexed

About

Danielle C. Stevenson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Danielle C. Stevenson has authored 7 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Danielle C. Stevenson's work include Pluripotent Stem Cells Research (2 papers), Planarian Biology and Electrostimulation (2 papers) and Neuroscience and Neural Engineering (2 papers). Danielle C. Stevenson is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Planarian Biology and Electrostimulation (2 papers) and Neuroscience and Neural Engineering (2 papers). Danielle C. Stevenson collaborates with scholars based in United Kingdom, United States and Sweden. Danielle C. Stevenson's co-authors include Ivo Lieberam, Carolina Barcellos Machado, Juan Burrone, Virginie Bros‐Facer, Linda Greensmith, J. Barney Bryson, Eric Blanc, Heema Patel, Anastasia Petrova and David Chambers and has published in prestigious journals such as Science, Analytical Chemistry and Development.

In The Last Decade

Danielle C. Stevenson

7 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle C. Stevenson United Kingdom 6 163 130 81 29 25 7 288
Eduarda Gervini Zampieri Centeno Netherlands 5 136 0.8× 76 0.6× 104 1.3× 31 1.1× 22 0.9× 9 275
Austin P. Passaro United States 6 143 0.9× 74 0.6× 80 1.0× 12 0.4× 34 1.4× 7 327
Tameji Eames United Kingdom 4 271 1.7× 196 1.5× 74 0.9× 13 0.4× 27 1.1× 5 407
M Kellogg United States 3 293 1.8× 200 1.5× 76 0.9× 27 0.9× 43 1.7× 4 416
Jennifer Stocksdale United States 5 179 1.1× 83 0.6× 43 0.5× 13 0.4× 51 2.0× 6 287
Jacopo Zasso Italy 8 234 1.4× 72 0.6× 72 0.9× 12 0.4× 11 0.4× 14 332
Olga S. Lebedeva Russia 10 306 1.9× 182 1.4× 39 0.5× 29 1.0× 71 2.8× 44 438
Tristan Lawson United States 3 206 1.3× 115 0.9× 70 0.9× 67 2.3× 30 1.2× 4 287
Peng-Ming Zeng China 5 158 1.0× 48 0.4× 83 1.0× 13 0.4× 26 1.0× 9 276
Nikita Budnik United States 4 116 0.7× 100 0.8× 227 2.8× 14 0.5× 16 0.6× 6 375

Countries citing papers authored by Danielle C. Stevenson

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Stevenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Stevenson. 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 Danielle C. Stevenson. The network helps show where Danielle C. Stevenson may publish in the future.

Co-authorship network of co-authors of Danielle C. Stevenson

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle C. Stevenson. A scholar is included among the top collaborators of Danielle C. Stevenson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle C. Stevenson. Danielle C. Stevenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Machado, Carolina Barcellos, Peter Harley, Mark Rigby, et al.. (2019). In Vitro Modeling of Nerve–Muscle Connectivity in a Compartmentalized Tissue Culture Device. Advanced Biosystems. 3(7). 37 indexed citations
2.
Sanderson, Saskia C., Bao Sheng Loe, Camila Pires Cremasco Gabriel, et al.. (2018). Development of the Knowledge of Genome Sequencing (KOGS) questionnaire. Patient Education and Counseling. 101(11). 1966–1972. 14 indexed citations
3.
Wilson, Matthew P., Emma Footitt, Apostolos Papandreou, et al.. (2017). An LC–MS/MS-Based Method for the Quantification of Pyridox(am)ine 5′-Phosphate Oxidase Activity in Dried Blood Spots from Patients with Epilepsy. Analytical Chemistry. 89(17). 8892–8900. 20 indexed citations
4.
Stevenson, Danielle C., et al.. (2015). A timeline of human evolution: What has made us human?. The Biochemist. 37(5). 4–5. 1 indexed citations
5.
Bryson, J. Barney, Carolina Barcellos Machado, Danielle C. Stevenson, et al.. (2014). Optical Control of Muscle Function by Transplantation of Stem Cell–Derived Motor Neurons in Mice. Science. 344(6179). 94–97. 126 indexed citations
6.
Machado, Carolina Barcellos, Kevin C. Kanning, Patricia Kreis, et al.. (2014). Reconstruction of phrenic neuron identity in embryonic stem cell-derived motor neurons. Development. 141(4). 784–794. 41 indexed citations
7.
Ilić, Duško, Emma Stephenson, Victoria Wood, et al.. (2011). Derivation and feeder-free propagation of human embryonic stem cells under xeno-free conditions. Cytotherapy. 14(1). 122–128. 49 indexed citations

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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