Cotton Seed

18.6k total citations
3 papers, 181 citations indexed

About

Cotton Seed is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cotton Seed has authored 3 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Cotton Seed's work include Viral Infections and Immunology Research (1 paper), Virus-based gene therapy research (1 paper) and Genetic Associations and Epidemiology (1 paper). Cotton Seed is often cited by papers focused on Viral Infections and Immunology Research (1 paper), Virus-based gene therapy research (1 paper) and Genetic Associations and Epidemiology (1 paper). Cotton Seed collaborates with scholars based in United States and United Kingdom. Cotton Seed's co-authors include Richard Daneman, Yujia A. Chan, Benjamin E. Deverman, Christine L. Boutros, Alejandro B. Balazs, Ken Y. Chan, Qin Huang, Jonathan M. Bloom, Isabelle G. Tobey and Wei Zhou and has published in prestigious journals such as Science, Bioinformatics and PLoS ONE.

In The Last Decade

Cotton Seed

3 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cotton Seed United States	2	128	115	21	16	14	3	181
Aaron Briley United States	7	140 1.1×	88 0.8×	30 1.4×	6 0.4×	9 0.6×	9	230
Isabelle G. Tobey United States	5	204 1.6×	159 1.4×	28 1.3×	17 1.1×	27 1.9×	5	289
Denis A. Reshetov Russia	8	185 1.4×	83 0.7×	19 0.9×	15 0.9×	4 0.3×	18	237
Colin P. Florian United States	4	249 1.9×	59 0.5×	32 1.5×	14 0.9×	7 0.5×	6	298
Alicia Hawes United States	3	98 0.8×	128 1.1×	13 0.6×	8 0.5×	5 0.4×	3	190
Arjan Pm de Brouwer Netherlands	6	94 0.7×	60 0.5×	19 0.9×	16 1.0×	16 1.1×	14	209
Lucas Fares‐Taie France	8	177 1.4×	86 0.7×	16 0.8×	8 0.5×	12 0.9×	15	238
Shankaracharya United States	4	95 0.7×	57 0.5×	33 1.6×	26 1.6×	22 1.6×	4	175
Lina Lu China	8	117 0.9×	80 0.7×	20 1.0×	12 0.8×	7 0.5×	16	222
Elizabeth Barry United States	5	246 1.9×	118 1.0×	24 1.1×	16 1.0×	14 1.0×	7	304

Countries citing papers authored by Cotton Seed

Since Specialization

Citations

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

Fields of papers citing papers by Cotton Seed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cotton Seed. 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 Cotton Seed. The network helps show where Cotton Seed may publish in the future.

Co-authorship network of co-authors of Cotton Seed

This figure shows the co-authorship network connecting the top 25 collaborators of Cotton Seed. A scholar is included among the top collaborators of Cotton Seed 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 Cotton Seed. Cotton Seed 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:

3 of 3 papers shown

1.

Poterba, Timothy, Christopher Vittal, Daniel King, et al.. (2024). The scalable variant call representation: enabling genetic analysis beyond one million genomes. Bioinformatics. 41(1). 1 indexed citations

2.

Palmer, Duncan S., Wei Zhou, Liam Abbott, et al.. (2023). Analysis of genetic dominance in the UK Biobank. Science. 379(6639). 1341–1348. 23 indexed citations

3.

Huang, Qin, Ken Y. Chan, Isabelle G. Tobey, et al.. (2019). Delivering genes across the blood-brain barrier: LY6A, a novel cellular receptor for AAV-PHP.B capsids. PLoS ONE. 14(11). e0225206–e0225206. 157 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