Pooja Kumar

1.2k total citations · 1 hit paper
8 papers, 795 citations indexed

About

Pooja Kumar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Pooja Kumar has authored 8 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Pooja Kumar's work include Cancer Genomics and Diagnostics (3 papers), DNA Repair Mechanisms (2 papers) and BRCA gene mutations in cancer (2 papers). Pooja Kumar is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), DNA Repair Mechanisms (2 papers) and BRCA gene mutations in cancer (2 papers). Pooja Kumar collaborates with scholars based in United States, Singapore and France. Pooja Kumar's co-authors include Wa Xian, Rania Dagher, Yusuke Yamamoto, Tay Seok Wei, Frank McKeon, Christopher P. Crum, Yuanyu Hu, Yan Sun, Elisabeth M. Zielonka and Dakai Mu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Pooja Kumar

8 papers receiving 782 citations

Hit Papers

Distal Airway Stem Cells Yield Alveoli In Vitro and durin... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Kumar United States 6 390 359 288 160 78 8 795
Elisabeth M. Zielonka Germany 5 296 0.8× 192 0.5× 366 1.3× 176 1.1× 84 1.1× 6 719
Jinsub Choi South Korea 14 143 0.4× 330 0.9× 317 1.1× 175 1.1× 117 1.5× 21 872
Russell Dorer United States 14 242 0.6× 281 0.8× 292 1.0× 355 2.2× 41 0.5× 33 818
Gianluca Turcatel United States 15 332 0.9× 314 0.9× 420 1.5× 89 0.6× 198 2.5× 20 854
Nour‐Al‐Dain Marzouka Sweden 16 170 0.4× 380 1.1× 263 0.9× 99 0.6× 62 0.8× 22 622
Rebecca M. Tucker United States 16 326 0.8× 609 1.7× 183 0.6× 72 0.5× 38 0.5× 22 977
Ayako Fujiwara Japan 15 444 1.1× 170 0.5× 235 0.8× 375 2.3× 117 1.5× 37 895
T Takizawa Japan 11 122 0.3× 330 0.9× 169 0.6× 352 2.2× 104 1.3× 16 702
William Watkin United States 13 175 0.4× 95 0.3× 146 0.5× 113 0.7× 104 1.3× 25 488
Elisabete Rios Portugal 13 82 0.2× 187 0.5× 302 1.0× 205 1.3× 147 1.9× 48 799

Countries citing papers authored by Pooja Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Kumar

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

All Works

8 of 8 papers shown
1.
Kumar, Pooja, David J. Mellert, Javad Noorbakhsh, et al.. (2023). High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology with Cellos. Nature Communications. 14(1). 8406–8406. 19 indexed citations
2.
Menghi, Francesca, Kalyan Banda, Pooja Kumar, et al.. (2023). Abstract PD5-01: PD5-01 Genomic and epigenomic BRCA alterations predict adaptive resistance and response to platinum-based therapy in triple negative breast cancer and ovarian carcinoma. Cancer Research. 83(5_Supplement). PD5–1. 1 indexed citations
3.
Menghi, Francesca, Kalyan Banda, Pooja Kumar, et al.. (2022). Genomic and epigenomic BRCA alterations predict adaptive resistance and response to platinum-based therapy in patients with triple-negative breast and ovarian carcinomas. Science Translational Medicine. 14(652). eabn1926–eabn1926. 33 indexed citations
4.
Kim, Hyunsoo, Pooja Kumar, Francesca Menghi, et al.. (2018). High-resolution deconstruction of evolution induced by chemotherapy treatments in breast cancer xenografts. Scientific Reports. 8(1). 17937–17937. 9 indexed citations
5.
Yao, Li‐Chin, Mingshan Cheng, Ken‐Edwin Aryee, et al.. (2018). Abstract 5676: Patient-derived tumor xenografts in humanized NSG-SGM3 mice: An improved immuno-oncology platform. Cancer Research. 78(13_Supplement). 5676–5676. 1 indexed citations
6.
Menghi, Francesca, Koichiro Inaki, Pooja Kumar, et al.. (2016). The tandem duplicator phenotype as a distinct genomic configuration in cancer. Proceedings of the National Academy of Sciences. 113(17). E2373–82. 65 indexed citations
7.
Wang, Xia, Hong Ouyang, Yusuke Yamamoto, et al.. (2011). Residual Embryonic Cells as Precursors of a Barrett's-like Metaplasia. Cell. 145(7). 1023–1035. 245 indexed citations
8.
Kumar, Pooja, Yuanyu Hu, Yusuke Yamamoto, et al.. (2011). Distal Airway Stem Cells Yield Alveoli In Vitro and during Lung Regeneration following H1N1 Influenza Infection. Cell. 147(3). 525–538. 422 indexed citations breakdown →

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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