James D. Cooper

6.9k total citations
8 papers, 277 citations indexed

About

James D. Cooper is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, James D. Cooper has authored 8 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in James D. Cooper's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). James D. Cooper is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). James D. Cooper collaborates with scholars based in United Kingdom, India and Germany. James D. Cooper's co-authors include J. McWhir, David W. Melton, Alan Colman, Angelika Schnieke, Allan Bradley, Haydn M. Prosser, Frances Law, Hiroko Koike-Yusa, Felipe Serrano and Kirsten E Snijders and has published in prestigious journals such as Nature Biotechnology, Molecular and Cellular Biology and Development.

In The Last Decade

James D. Cooper

8 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Cooper United Kingdom	7	219	80	55	22	21	8	277
Nina Xie China	8	262 1.2×	90 1.1×	31 0.6×	17 0.8×	21 1.0×	13	334
Hafdís T. Helgadóttir Sweden	7	160 0.7×	64 0.8×	77 1.4×	11 0.5×	16 0.8×	21	267
Kirsten Cremer Germany	10	326 1.5×	144 1.8×	83 1.5×	18 0.8×	33 1.6×	14	436
Martina Zemke Switzerland	6	293 1.3×	83 1.0×	47 0.9×	24 1.1×	17 0.8×	6	359
Megan Rothstein United States	9	277 1.3×	52 0.7×	60 1.1×	28 1.3×	8 0.4×	13	367
Vilma Rraklli Sweden	9	226 1.0×	48 0.6×	55 1.0×	16 0.7×	34 1.6×	11	320
Yonglong Dang Sweden	8	251 1.1×	68 0.8×	76 1.4×	11 0.5×	15 0.7×	13	340
Ali Moussavi Nik Sweden	8	153 0.7×	41 0.5×	36 0.7×	26 1.2×	52 2.5×	10	267
Amjad Khan Pakistan	12	170 0.8×	124 1.6×	21 0.4×	10 0.5×	13 0.6×	40	291
Wendy Alcaraz United States	8	144 0.7×	140 1.8×	25 0.5×	12 0.5×	13 0.6×	14	264

Countries citing papers authored by James D. Cooper

Since Specialization

Citations

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

Fields of papers citing papers by James D. Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James D. Cooper

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Banerjee, Poulomi, Arpan R. Mehta, Raja Sekhar Nirujogi, et al.. (2023). Cell-autonomous immune dysfunction driven by disrupted autophagy in C9orf72 -ALS iPSC-derived microglia contributes to neurodegeneration. Science Advances. 9(16). eabq0651–eabq0651. 27 indexed citations

Pal, Rakhi, James D. Cooper, Bhuvaneish T. Selvaraj, et al.. (2023). Astrocytes mediate cell non-autonomous correction of aberrant firing in human FXS neurons. Cell Reports. 42(4). 112344–112344. 11 indexed citations

Willems, Ariane, Kerstin Hasenpusch‐Theil, James D. Cooper, et al.. (2022). The ciliary gene INPP5E confers dorsal telencephalic identity to human cortical organoids by negatively regulating Sonic hedgehog signaling. Cell Reports. 39(7). 110811–110811. 8 indexed citations

Granata, Alessandra, Felipe Serrano, James D. Cooper, et al.. (2022). The Histone Deacetylase 9 Stroke-Risk Variant Promotes Apoptosis and Inflammation in a Human iPSC-Derived Smooth Muscle Cells Model. Frontiers in Cardiovascular Medicine. 9. 849664–849664. 8 indexed citations

Snijders, Kirsten E, James D. Cooper, Ludovic Vallier, & Alessandro Bertero. (2019). Conditional Gene Knockout in Human Cells with Inducible CRISPR/Cas9. Methods in molecular biology. 1961. 185–209. 4 indexed citations

Bertero, Alessandro, Matthias Pawlowski, Daniel Ortmann, et al.. (2016). Optimized inducible shRNA and CRISPR/Cas9 platforms for in vitro studies of human development using hPSCs. Development. 143(23). 4405–4418. 57 indexed citations

Prosser, Haydn M., Hiroko Koike-Yusa, James D. Cooper, Frances Law, & Allan Bradley. (2011). A resource of vectors and ES cells for targeted deletion of microRNAs in mice. Nature Biotechnology. 29(9). 840–845. 71 indexed citations

Schnieke, Angelika, et al.. (1994). Use of double-replacement gene targeting to replace the murine alpha-lactalbumin gene with its human counterpart in embryonic stem cells and mice.. Molecular and Cellular Biology. 14(2). 1009–1016. 91 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.

Explore authors with similar magnitude of impact