Devin P. Sullivan

4.5k total citations
10 papers, 230 citations indexed

About

Devin P. Sullivan is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Devin P. Sullivan has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biophysics and 2 papers in Cell Biology. Recurrent topics in Devin P. Sullivan's work include Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Devin P. Sullivan is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Devin P. Sullivan collaborates with scholars based in United States, Sweden and Denmark. Devin P. Sullivan's co-authors include Robert F. Murphy, Joshua Kangas, Emma Lundberg, B. Revaz, Rutger Schutten, Casper F. Winsnes, Martin Hjelmare, Lovisa Åkesson, Mikaela Wiking and Kevin Smith and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Molecular Biology of the Cell.

In The Last Decade

Devin P. Sullivan

10 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Devin P. Sullivan United States	5	109	88	34	32	21	10	230
Mikaela Wiking Sweden	5	119 1.1×	75 0.9×	24 0.7×	27 0.8×	15 0.7×	5	201
Martin Hjelmare Sweden	5	126 1.2×	68 0.8×	23 0.7×	27 0.8×	15 0.7×	5	204
Casper F. Winsnes Sweden	4	63 0.6×	69 0.8×	25 0.7×	30 0.9×	15 0.7×	5	153
Rutger Schutten Sweden	3	65 0.6×	58 0.7×	24 0.7×	26 0.8×	19 0.9×	4	143
Gus Ferguson United Kingdom	5	116 1.1×	130 1.5×	44 1.3×	23 0.7×	17 0.8×	8	230
Ervin Tasnádi Hungary	7	58 0.5×	71 0.8×	43 1.3×	27 0.8×	36 1.7×	13	178
Joshua Kangas United States	7	124 1.1×	113 1.3×	46 1.4×	52 1.6×	37 1.8×	11	255
Sotiris Dimopoulos Switzerland	9	224 2.1×	102 1.2×	44 1.3×	49 1.5×	39 1.9×	9	342
Erik Brauner United States	4	128 1.2×	112 1.3×	17 0.5×	19 0.6×	25 1.2×	5	213
Lian Duan United States	12	56 0.5×	135 1.5×	32 0.9×	22 0.7×	47 2.2×	25	506

Countries citing papers authored by Devin P. Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Devin P. Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin P. Sullivan. 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 Devin P. Sullivan. The network helps show where Devin P. Sullivan may publish in the future.

Co-authorship network of co-authors of Devin P. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Devin P. Sullivan. A scholar is included among the top collaborators of Devin P. Sullivan 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 Devin P. Sullivan. Devin P. Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Schaff, James C., Anuradha Lakshminarayana, Robert F. Murphy, et al.. (2023). SBML level 3 package: spatial processes, version 1, release 1. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 2 indexed citations

Danielsson, Frida, Diana Mahdessian, Ulrika Axelsson, et al.. (2020). Spatial Characterization of the Human Centrosome Proteome Opens Up New Horizons for a Small but Versatile Organelle. PROTEOMICS. 20(23). e1900361–e1900361. 3 indexed citations

Sullivan, Devin P., Casper F. Winsnes, Lovisa Åkesson, et al.. (2018). Deep learning is combined with massive-scale citizen science to improve large-scale image classification. Nature Biotechnology. 36(9). 820–828. 120 indexed citations

Ritchey, P. Neal, Gregory C. Shearer, E. J. M. Colbert, et al.. (2018). Machine learning and data mining for IPv6 network defence. 681–687. 2 indexed citations

Danielsson, Frida, Devin P. Sullivan, Linnea Hases, et al.. (2018). Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia. Oncotarget. 9(28). 19730–19744. 1 indexed citations

Hertting, Olof, Petra Lüthje, Devin P. Sullivan, Pontus Aspenström, & Annelie Brauner. (2017). Vitamin D-deficient mice have more invasive urinary tract infection. PLoS ONE. 12(7). e0180810–e0180810. 17 indexed citations

Kangas, Joshua, et al.. (2016). Active machine learning-driven experimentation to determine compound effects on protein patterns. eLife. 5. e10047–e10047. 33 indexed citations

Donovan-Maiye, Rory, Devin P. Sullivan, James R. Faeder, et al.. (2016). Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories. PLoS Computational Biology. 12(2). e1004611–e1004611. 27 indexed citations

Johnson, Gregory R., et al.. (2015). Joint modeling of cell and nuclear shape variation. Molecular Biology of the Cell. 26(22). 4046–4056. 21 indexed citations

10.

Sullivan, Devin P., et al.. (2015). Design Automation for Biological Models. 321–323. 4 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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