Asim Siddiqui

18.9k total citations · 2 hit papers
30 papers, 4.3k citations indexed

About

Asim Siddiqui is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Asim Siddiqui has authored 30 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Plant Science and 4 papers in Materials Chemistry. Recurrent topics in Asim Siddiqui's work include Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Structure and Dynamics (4 papers). Asim Siddiqui is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Structure and Dynamics (4 papers). Asim Siddiqui collaborates with scholars based in Canada, United States and United Kingdom. Asim Siddiqui's co-authors include Cátálin Bárbácioru, John Bodeau, M. Azim Surani, Clarence Lee, Yangzhou Wang, Fuchou Tang, Brian B. Tuch, Kaiqin Lao, Xiaohui Wang and Geoffrey J. Barton and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Asim Siddiqui

27 papers receiving 4.2k citations

Hit Papers

mRNA-Seq whole-transcript... 2009 2026 2014 2020 2009 2020 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asim Siddiqui Canada 16 3.0k 815 601 546 430 30 4.3k
Cátálin Bárbácioru United States 19 3.7k 1.3× 1.1k 1.4× 275 0.5× 589 1.1× 173 0.4× 34 4.9k
Ferdinand von Eggeling Germany 36 1.9k 0.7× 409 0.5× 288 0.5× 346 0.6× 338 0.8× 155 3.7k
Xiuli An United States 44 2.7k 0.9× 502 0.6× 1.1k 1.8× 854 1.6× 359 0.8× 155 6.4k
Xinglong Wu China 20 3.7k 1.3× 1.2k 1.5× 142 0.2× 349 0.6× 268 0.6× 46 4.4k
Chenghang Zong United States 20 2.0k 0.7× 714 0.9× 169 0.3× 336 0.6× 148 0.3× 31 3.0k
Roser Vento‐Tormo United Kingdom 20 3.1k 1.1× 792 1.0× 271 0.5× 1.7k 3.1× 141 0.3× 35 4.6k
J. Wiegant Netherlands 42 4.4k 1.5× 630 0.8× 266 0.4× 488 0.9× 332 0.8× 103 6.6k
Iain C. Macaulay United Kingdom 35 4.4k 1.5× 1.1k 1.3× 158 0.3× 1.2k 2.1× 127 0.3× 62 5.9k
Michael R. Eccles New Zealand 41 5.1k 1.7× 944 1.2× 890 1.5× 397 0.7× 971 2.3× 153 6.6k
Roger A. Schultz United States 33 3.0k 1.0× 661 0.8× 157 0.3× 667 1.2× 199 0.5× 113 4.8k

Countries citing papers authored by Asim Siddiqui

Since Specialization
Citations

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

Fields of papers citing papers by Asim Siddiqui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asim Siddiqui

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

All Works

20 of 20 papers shown
1.
Suhre, Karsten, Guhan Venkataraman, Harendra Guturu, et al.. (2024). Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping. Nature Communications. 15(1). 989–989. 19 indexed citations
2.
Hollas, Michael A. R., Aniel Sánchez, Michael A. Caldwell, et al.. (2024). Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-Down Proteomics. Journal of Proteome Research. 23(10). 4694–4703. 10 indexed citations
3.
Donovan, Margaret K. R., Yingxiang Huang, John E. Blume, et al.. (2023). Functionally distinct BMP1 isoforms show an opposite pattern of abundance in plasma from non-small cell lung cancer subjects and controls. PLoS ONE. 18(3). e0282821–e0282821. 9 indexed citations
4.
Sharma, Monika, et al.. (2022). Observational Study on Outcomes after Radioiodine Ablation in Hyperthyroid Patients. Indian Journal of Endocrinology and Metabolism. 26(2). 149–153.
5.
Adams, Taylor, Jonas C. Schupp, Sergio Poli, et al.. (2020). Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis. Science Advances. 6(28). eaba1983–eaba1983. 704 indexed citations breakdown →
6.
Pergament, Eugene, Howard Cuckle, Bernhard Zimmermann, et al.. (2014). Single-Nucleotide Polymorphism–Based Noninvasive Prenatal Screening in a High-Risk and Low-Risk Cohort. Obstetrics and Gynecology. 124(2). 210–218. 205 indexed citations
7.
Wapner, Ronald J., Joshua Babiarz, Brynn Levy, et al.. (2014). Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes. American Journal of Obstetrics and Gynecology. 212(3). 332.e1–332.e9. 224 indexed citations
8.
Tang, Fuchou, Cátálin Bárbácioru, Yangzhou Wang, et al.. (2009). mRNA-Seq whole-transcriptome analysis of a single cell. Nature Methods. 6(5). 377–382. 2536 indexed citations breakdown →
9.
Robertson, Neil, Scott Zuyderduyn, Richard Varhol, et al.. (2007). DiscoverySpace: an interactive data analysis application. Genome biology. 8(1). R6–R6. 37 indexed citations
10.
Krzywinski, Martin, Ian Bosdet, Carrie Mathewson, et al.. (2007). A BAC clone fingerprinting approach to the detection of human genome rearrangements. Genome biology. 8(10). R224–R224. 8 indexed citations
11.
Chapman, Barbara, et al.. (2006). Sun Grid Engine Package for OSCAR - A Google Summer Of Code 2005 Project. 41–41. 2 indexed citations
12.
Siddiqui, Asim, et al.. (2006). Modeling network growth with assortative mixing. The European Physical Journal B. 50(4). 617–630. 14 indexed citations
13.
Bainbridge, Matthew N., Robin M. Warren, Martin Hirst, et al.. (2006). Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach. BMC Genomics. 7(1). 246–246. 137 indexed citations
14.
Siddiqui, Asim. (2006). Sequence biases in large scale gene expression profiling data. Nucleic Acids Research. 34(12). e83–e83. 48 indexed citations
15.
Warren, Robin M., Darren Platt, Xiaoqiu Huang, et al.. (2006). Physical map-assisted whole-genome shotgun sequence assemblies. Genome Research. 16(6). 768–775. 20 indexed citations
16.
Warren, Robin M., Yaron S.N. Butterfield, Ryan D. Morin, et al.. (2005). Management and Visualization of Whole Genome Shotgun Assemblies Using SAM. BioTechniques. 38(5). 715–720. 3 indexed citations
17.
Montgomery, Stephen B., Tamara Astakhova, Mikhail Bilenky, et al.. (2004). Sockeye: A 3D Environment for Comparative Genomics. Genome Research. 14(5). 956–962. 23 indexed citations
18.
Siddiqui, Asim, et al.. (2001). 3Dee: a database of protein structural domains. Bioinformatics. 17(2). 200–201. 42 indexed citations
19.
Siddiqui, Asim, et al.. (2001). Protein structural domains: Analysis of the 3Dee domains database. Proteins Structure Function and Bioinformatics. 42(3). 332–344. 2 indexed citations
20.
Siddiqui, Asim & Geoffrey J. Barton. (1995). Continuous and discontinuous domains: An algorithm for the automatic generation of reliable protein domain definitions. Protein Science. 4(5). 872–884. 129 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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