Asim Siddiqui

18.9k citations
30 papers · 4.3k indexed · 2 hit papers · h-index 16
Topics
Genomics and Phylogenetic Studies (7 papers)Bioinformatics and Genomic Networks (5 papers)Protein Structure and Dynamics (4 papers)

In The Last Decade

Asim Siddiqui

27 papers receiving 4.2k citations

Hit Papers

mRNA-Seq whole-transcriptome analysis of a single cell20092026201420202009202050010001.5k2.0k2.5k

Peers

Asim Siddiqui
Comparison fields: 5 of 145
  • Molecular Biology 3.0k
  • Cancer Research 815
  • Pulmonary and Respiratory Medicine 601
  • Immunology 546
  • Pediatrics, Perinatology and Child Health 430
Replace Cátálin Bárbácioru with:
Cátálin Bárbácioru United States
Xinglong Wu China
Roser Vento‐Tormo United Kingdom
Iain C. Macaulay United Kingdom
Xiuli An United States
Antonio Scialdone Italy
J. Wiegant Netherlands
Wiggert A. van Cappellen Netherlands
Roger A. Schultz United States
Scott A. Weed United States
Asim Siddiqui relative to Cátálin Bárbácioru United States Cátálin Bárbácioru's profile →
Citations per field
00.5×1.5×2.5×
Cátálin Bárbácioru · 1×
Citations per year

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
#WorkIndexed citations
1 19
2 10
3 9
4 0
5
Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosisbreakdown →
704
6 224
7 205
8
mRNA-Seq whole-transcriptome analysis of a single cellbreakdown →
2536
9 8
10 37
11 48
12 20
13 2
14 137
15 14
16 3
17 23
18 42
19 2
20 129

About Asim Siddiqui

Asim Siddiqui is a scholar working on Molecular Biology, Spectroscopy and Statistical and Nonlinear Physics, having authored 30 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Cancer Research (815 citations), Biophysics (256 citations) and Molecular Biology (3.0k citations). Asim Siddiqui has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include John Bodeau, M. Azim Surani, Clarence Lee, Cátálin Bárbácioru, Xiaohui Wang, Brian B. Tuch, Fuchou Tang, Yangzhou Wang, Kaiqin Lao and Geoffrey J. Barton. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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