Lubna Patrawala

6.0k total citations · 4 hit papers
12 papers, 4.8k citations indexed

About

Lubna Patrawala is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Lubna Patrawala has authored 12 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Lubna Patrawala's work include Cancer Cells and Metastasis (8 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Lubna Patrawala is often cited by papers focused on Cancer Cells and Metastasis (8 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Lubna Patrawala collaborates with scholars based in United States and Japan. Lubna Patrawala's co-authors include Dean G. Tang, Robin Schneider‐Broussard, Andreas G. Bader, Jason F. Wiggins, Kent Claypool, Kevin Kelnar, Tammy Calhoun‐Davis, Collene Jeter, Jianjun Zhou and David Brown and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Cancer Research.

In The Last Decade

Lubna Patrawala

12 papers receiving 4.7k citations

Hit Papers

The microRNA miR-34a inhi... 2005 2026 2012 2019 2011 2006 2005 2010 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44
    2011 1.1k citations Can Liu, Kevin Kelnar et al. Nature Medicine profile →
  2. Highly purified CD44+ prostate cancer cells from xenograft human tumors are enriched in tumorigenic and metastatic progenitor cells
    2006 770 citations Lubna Patrawala, Robin Schneider‐Broussard et al. Oncogene profile →
  3. Side Population Is Enriched in Tumorigenic, Stem-Like Cancer Cells, whereas ABCG2+ and ABCG2− Cancer Cells Are Similarly Tumorigenic
    2005 737 citations Lubna Patrawala, Robin Schneider‐Broussard et al. Cancer Research profile →
  4. Development of a Lung Cancer Therapeutic Based on the Tumor Suppressor MicroRNA-34
    2010 532 citations Jason F. Wiggins, Lynnsie Ruffino et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lubna Patrawala United States 12 3.5k 2.6k 2.1k 732 333 12 4.8k
Collene Jeter United States 22 2.2k 0.7× 1.4k 0.5× 1.3k 0.6× 673 0.9× 215 0.6× 33 3.3k
Simone Spaderna Germany 15 2.9k 0.8× 1.8k 0.7× 2.2k 1.0× 344 0.5× 252 0.8× 18 4.4k
Robert W. Cho United States 8 2.5k 0.7× 1.6k 0.6× 2.9k 1.4× 247 0.3× 296 0.9× 9 4.3k
Antonija Kreso Canada 11 2.2k 0.6× 1.3k 0.5× 1.9k 0.9× 304 0.4× 407 1.2× 11 3.7k
Tammy Calhoun‐Davis United States 16 2.0k 0.6× 1.3k 0.5× 1.4k 0.7× 745 1.0× 232 0.7× 17 3.0k
Dmitri Wiederschain United States 28 2.5k 0.7× 1.2k 0.5× 1.6k 0.8× 330 0.5× 321 1.0× 45 3.8k
Falk Hlubek Germany 25 3.4k 1.0× 1.4k 0.5× 2.5k 1.2× 447 0.6× 315 0.9× 30 5.1k
Dawn A. Kirschmann United States 29 2.6k 0.7× 1.0k 0.4× 1.2k 0.6× 325 0.4× 409 1.2× 39 3.4k
Nancy Dumont United States 23 2.5k 0.7× 735 0.3× 1.9k 0.9× 433 0.6× 545 1.6× 32 3.9k
Paul A. Berry United Kingdom 14 1.5k 0.4× 820 0.3× 2.0k 1.0× 686 0.9× 258 0.8× 24 3.0k

Countries citing papers authored by Lubna Patrawala

Since Specialization
Citations

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

Fields of papers citing papers by Lubna Patrawala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lubna Patrawala

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

All Works

12 of 12 papers shown
1.
Liu, Can, Kevin Kelnar, Bigang Liu, et al.. (2011). The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nature Medicine. 17(2). 211–215. 1136 indexed citations breakdown →
2.
Wiggins, Jason F., Lynnsie Ruffino, Kevin Kelnar, et al.. (2010). Development of a Lung Cancer Therapeutic Based on the Tumor Suppressor MicroRNA-34. Cancer Research. 70(14). 5923–5930. 532 indexed citations breakdown →
3.
Li, Hangwen, Ming Jiang, Sofia Honorio, et al.. (2009). Methodologies in Assaying Prostate Cancer Stem Cells. Methods in molecular biology. 568. 85–138. 30 indexed citations
4.
Takeshita, Fumitaka, Lubna Patrawala, Mitsuhiko Osaki, et al.. (2009). Systemic Delivery of Synthetic MicroRNA-16 Inhibits the Growth of Metastatic Prostate Tumors via Downregulation of Multiple Cell-cycle Genes. Molecular Therapy. 18(1). 181–187. 340 indexed citations
5.
Jeter, Collene, Mark Badeaux, Grace Choy, et al.. (2009). Functional Evidence that the Self-Renewal Gene NANOG Regulates Human Tumor Development. Stem Cells. 27(5). 993–1005. 280 indexed citations
6.
Esquela‐Kerscher, Aurora, Phong Trang, Jason F. Wiggins, et al.. (2008). Thelet-7microRNA reduces tumor growth in mouse models of lung cancer. Cell Cycle. 7(6). 759–764. 484 indexed citations
7.
Bhatia, Bobby, Ming Jiang, Mahipal Suraneni, et al.. (2008). Critical and Distinct Roles of p16 and Telomerase in Regulating the Proliferative Life Span of Normal Human Prostate Epithelial Progenitor Cells. Journal of Biological Chemistry. 283(41). 27957–27972. 31 indexed citations
8.
Patrawala, Lubna, Tammy Calhoun‐Davis, Robin Schneider‐Broussard, & Dean G. Tang. (2007). Hierarchical Organization of Prostate Cancer Cells in Xenograft Tumors: The CD44+α2β1+ Cell Population Is Enriched in Tumor-Initiating Cells. Cancer Research. 67(14). 6796–6805. 279 indexed citations
9.
Bhatia, Bobby, Asha S. Multani, Lubna Patrawala, et al.. (2007). Evidence that senescent human prostate epithelial cells enhance tumorigenicity: Cell fusion as a potential mechanism and inhibition by p16INK4a and hTERT. International Journal of Cancer. 122(7). 1483–1495. 38 indexed citations
10.
Tang, Dean G., Lubna Patrawala, Bobby Bhatia, et al.. (2006). Prostate cancer stem/progenitor cells: Identification, characterization, and implications. Molecular Carcinogenesis. 46(1). 1–14. 178 indexed citations
11.
Patrawala, Lubna, Robin Schneider‐Broussard, Heng Li, et al.. (2006). Highly purified CD44+ prostate cancer cells from xenograft human tumors are enriched in tumorigenic and metastatic progenitor cells. Oncogene. 25(12). 1696–1708. 770 indexed citations breakdown →
12.
Patrawala, Lubna, et al.. (2005). Side Population Is Enriched in Tumorigenic, Stem-Like Cancer Cells, whereas ABCG2+ and ABCG2− Cancer Cells Are Similarly Tumorigenic. Cancer Research. 65(14). 6207–6219. 737 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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