Subreen A. Khatib

84 total papers · 1.0k total citations
18 papers, 637 citations indexed

About

Subreen A. Khatib is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Subreen A. Khatib has authored 18 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Subreen A. Khatib's work include Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Subreen A. Khatib is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Subreen A. Khatib collaborates with scholars based in United States, Thailand and China. Subreen A. Khatib's co-authors include Xin Wei Wang, Lichun Ma, Dana A. Dominguez, Marshonna Forgues, Limin Wang, Laura W. Bowers, Stephen D. Hursting, Jonathan M. Hernandez, Emily L. Rossi and S. Heinrich and has published in prestigious journals such as Nature Communications, Hepatology and Cancer Research.

In The Last Decade

Subreen A. Khatib

18 papers receiving 636 citations

Hit Papers

Single-cell atlas of tumo... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Subreen A. Khatib 329 262 241 125 99 18 637
Shamir Cassim 405 1.2× 273 1.0× 146 0.6× 114 0.9× 104 1.1× 17 682
Virginie Defamie 324 1.0× 268 1.0× 210 0.9× 107 0.9× 68 0.7× 13 746
Songtao Lai 309 0.9× 165 0.6× 250 1.0× 104 0.8× 90 0.9× 21 635
Serena De Matteis 281 0.9× 178 0.7× 160 0.7× 119 1.0× 80 0.8× 33 653
Timothy Wai Ho Shuen 345 1.0× 199 0.8× 134 0.6× 75 0.6× 81 0.8× 21 557
Jian‐Yang Ao 324 1.0× 232 0.9× 175 0.7× 197 1.6× 78 0.8× 25 656
Jianguo Lu 343 1.0× 312 1.2× 180 0.7× 82 0.7× 58 0.6× 31 670
Hong Shen 308 0.9× 166 0.6× 201 0.8× 143 1.1× 150 1.5× 16 625
Chengyu Shi 378 1.1× 209 0.8× 117 0.5× 98 0.8× 63 0.6× 25 642
Guang-Ang Tian 322 1.0× 177 0.7× 164 0.7× 126 1.0× 91 0.9× 20 576

Countries citing papers authored by Subreen A. Khatib

Since Specialization
Citations

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

Fields of papers citing papers by Subreen A. Khatib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subreen A. Khatib. 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 Subreen A. Khatib. The network helps show where Subreen A. Khatib may publish in the future.

Co-authorship network of co-authors of Subreen A. Khatib

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

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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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