Daniel J. Cooper

1.0k total citations
9 papers, 181 citations indexed

About

Daniel J. Cooper is a scholar working on Molecular Biology, Information Systems and Management and Biophysics. According to data from OpenAlex, Daniel J. Cooper has authored 9 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Information Systems and Management and 2 papers in Biophysics. Recurrent topics in Daniel J. Cooper's work include Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Daniel J. Cooper is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Daniel J. Cooper collaborates with scholars based in United States and United Kingdom. Daniel J. Cooper's co-authors include Stephan C. Schürer, Raymond Terryn, Vasileios Stathias, Caty Chung, Amar Koleti, Mario Medvedovic, Avi Ma’ayan, D. Vidović, Marcin Pilarczyk and Giulia Zunino and has published in prestigious journals such as Nucleic Acids Research, Molecules and BMC Bioinformatics.

In The Last Decade

Daniel J. Cooper

9 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Cooper United States	8	130	47	19	16	16	9	181
Raymond Terryn United States	6	98 0.8×	42 0.9×	14 0.7×	19 1.2×	12 0.8×	7	177
Vladimir Rynkov United States	3	202 1.6×	34 0.7×	31 1.6×	10 0.6×	14 0.9×	3	256
Caty Chung United States	9	248 1.9×	115 2.4×	24 1.3×	9 0.6×	30 1.9×	9	323
Grace A. Stafford United States	13	248 1.9×	25 0.5×	40 2.1×	26 1.6×	10 0.6×	24	382
Timothy Sheils United States	9	222 1.7×	130 2.8×	16 0.8×	14 0.9×	8 0.5×	12	313
Marcin Pilarczyk United States	5	195 1.5×	52 1.1×	34 1.8×	14 0.9×	17 1.1×	6	310
Prisca Lo Surdo Italy	8	255 2.0×	60 1.3×	33 1.7×	4 0.3×	13 0.8×	12	340
Enio Gjerga Germany	7	215 1.7×	41 0.9×	30 1.6×	7 0.4×	18 1.1×	17	274
Clemens Wrzodek Germany	13	306 2.4×	35 0.7×	40 2.1×	4 0.3×	9 0.6×	19	372
Robert P. Sheehan United States	5	161 1.2×	19 0.4×	17 0.9×	11 0.7×	13 0.8×	6	240

Countries citing papers authored by Daniel J. Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Cooper. 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 Daniel J. Cooper. The network helps show where Daniel J. Cooper may publish in the future.

Co-authorship network of co-authors of Daniel J. Cooper

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

All Works

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9 of 9 papers shown

He, Yongqun, William D. Duncan, Daniel J. Cooper, et al.. (2019). OSCI: standardized stem cell ontology representation and use cases for stem cell investigation. BMC Bioinformatics. 20(S5). 180–180. 2 indexed citations

Cooper, Daniel J. & Stephan C. Schürer. (2019). Improving the Utility of the Tox21 Dataset by Deep Metadata Annotations and Constructing Reusable Benchmarked Chemical Reference Signatures. Molecules. 24(8). 1604–1604. 7 indexed citations

Stathias, Vasileios, Amar Koleti, D. Vidović, et al.. (2019). LINCS Data Portal 2.0: next generation access point for perturbation-response signatures. Nucleic Acids Research. 48(D1). D431–D439. 100 indexed citations

Stathias, Vasileios, Amar Koleti, D. Vidović, et al.. (2018). Sustainable data and metadata management at the BD2K-LINCS Data Coordination and Integration Center. Scientific Data. 5(1). 180117–180117. 16 indexed citations

Danzi, Matt C., et al.. (2018). The effect of Jun dimerization on neurite outgrowth and motif binding. Molecular and Cellular Neuroscience. 92. 114–127. 16 indexed citations

Ong, Edison, Zhaohui Ni, Qingping Liu, et al.. (2017). Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses. BMC Bioinformatics. 18(S17). 556–556. 9 indexed citations

Cooper, Daniel J., et al.. (2017). Pluripotent cells display enhanced resistance to mutagenesis. Stem Cell Research. 19. 113–117. 9 indexed citations

Cooper, Daniel J., Giulia Zunino, John L. Bixby, & Vance Lemmon. (2016). Phenotypic screening with primary neurons to identify drug targets for regeneration and degeneration. Molecular and Cellular Neuroscience. 80. 161–169. 14 indexed citations

Cooper, Daniel J., Christi A. Walter, & John R. McCarrey. (2014). Co-regulation of pluripotency and genetic integrity at the genomic level. Stem Cell Research. 13(3). 508–519. 8 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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