Sobia Raza

23 total papers · 930 total citations
17 papers, 546 citations indexed

About

Sobia Raza is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Sobia Raza has authored 17 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Sobia Raza's work include Bioinformatics and Genomic Networks (6 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (3 papers). Sobia Raza is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (3 papers). Sobia Raza collaborates with scholars based in United Kingdom, United States and Switzerland. Sobia Raza's co-authors include Tom C. Freeman, David Hume, Kim Summers, J. Kenneth Baillie, Mark Barnett, Peter Ghazal, Paul Lacaze, Lee B. Smith, Alison Hall and Kevin A. Robertson and has published in prestigious journals such as PLoS Biology, Journal of Leukocyte Biology and BMC Genomics.

In The Last Decade

Sobia Raza

17 papers receiving 541 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sobia Raza 266 191 87 48 33 17 546
Tetsuya Takagawa 174 0.7× 178 0.9× 88 1.0× 34 0.7× 17 0.5× 23 542
Alyssa Baccarella 262 1.0× 192 1.0× 49 0.6× 58 1.2× 20 0.6× 17 580
J K Spitznagel 194 0.7× 184 1.0× 34 0.4× 35 0.7× 16 0.5× 17 506
Ran Liu 174 0.7× 229 1.2× 39 0.4× 45 0.9× 24 0.7× 24 550
Timothy J. Bauler 269 1.0× 171 0.9× 44 0.5× 31 0.6× 11 0.3× 18 486
Patricia Cristofaro 171 0.6× 159 0.8× 97 1.1× 42 0.9× 12 0.4× 19 521
Gajanan D. Katkar 207 0.8× 135 0.7× 132 1.5× 40 0.8× 12 0.4× 20 496
Hui Jiang 207 0.8× 147 0.8× 30 0.3× 69 1.4× 26 0.8× 18 506
Nan-Chi A. Chang 326 1.2× 214 1.1× 29 0.3× 22 0.5× 49 1.5× 14 527
Meghan Ferguson 243 0.9× 113 0.6× 126 1.4× 28 0.6× 19 0.6× 20 553

Countries citing papers authored by Sobia Raza

Since Specialization
Citations

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

Fields of papers citing papers by Sobia Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sobia Raza

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

All Works

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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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