Sakina Petiwala

864 total citations
20 papers, 648 citations indexed

About

Sakina Petiwala is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Sakina Petiwala has authored 20 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Biochemistry. Recurrent topics in Sakina Petiwala's work include Natural Compound Pharmacology Studies (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). Sakina Petiwala is often cited by papers focused on Natural Compound Pharmacology Studies (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). Sakina Petiwala collaborates with scholars based in United States and China. Sakina Petiwala's co-authors include Jeremy J. Johnson, Gongbo Li, Larisa Nonn, J.J. Johnson, Vaqar M. Adhami, Imtiaz A. Siddiqui, Hasan Mukhtar, Deeba N. Syed, Miao Yan and Jan T. Rasmussen and has published in prestigious journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Sakina Petiwala

19 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakina Petiwala United States 14 307 256 116 82 74 20 648
Shireen Chikara United States 15 465 1.5× 336 1.3× 99 0.9× 51 0.6× 38 0.5× 19 993
Keiko Sakata Japan 14 357 1.2× 131 0.5× 109 0.9× 93 1.1× 53 0.7× 25 723
Deng‐Gao Zhao China 16 258 0.8× 132 0.5× 112 1.0× 42 0.5× 58 0.8× 34 584
Linda Saxe Einbond United States 17 446 1.5× 179 0.7× 211 1.8× 58 0.7× 131 1.8× 29 925
Dailin Liu China 17 370 1.2× 175 0.7× 79 0.7× 177 2.2× 78 1.1× 61 773
Suman Kumar Samanta India 16 387 1.3× 175 0.7× 57 0.5× 45 0.5× 52 0.7× 31 714
Annelise Lobstein France 11 320 1.0× 100 0.4× 123 1.1× 72 0.9× 70 0.9× 22 732
Wilart Pompimon Thailand 18 401 1.3× 147 0.6× 40 0.3× 98 1.2× 58 0.8× 64 843
Nadia Mustapha Tunisia 15 176 0.6× 141 0.6× 97 0.8× 87 1.1× 91 1.2× 22 460
Pin-Shern Chen Taiwan 13 409 1.3× 180 0.7× 51 0.4× 97 1.2× 153 2.1× 15 816

Countries citing papers authored by Sakina Petiwala

Since Specialization
Citations

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

Fields of papers citing papers by Sakina Petiwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakina Petiwala

This figure shows the co-authorship network connecting the top 25 collaborators of Sakina Petiwala. A scholar is included among the top collaborators of Sakina Petiwala 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 Sakina Petiwala. Sakina Petiwala 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
1.
Shi, Xu, Christos Gekas, Sakina Petiwala, et al.. (2024). Building a translational cancer dependency map for The Cancer Genome Atlas. Nature Cancer. 5(8). 1176–1194. 6 indexed citations
2.
Petiwala, Sakina, Erin Murphy, Sabah Kadri, et al.. (2023). Optimization of Genomewide CRISPR Screens Using AsCas12a and Multi-Guide Arrays. The CRISPR Journal. 6(1). 75–82. 2 indexed citations
3.
4.
Sun, Ning, Sakina Petiwala, Charles Lu, et al.. (2019). VHL Synthetic Lethality Signatures Uncovered by Genotype-Specific CRISPR-Cas9 Screens. The CRISPR Journal. 2(4). 230–245. 10 indexed citations
5.
Sun, Ning, Sakina Petiwala, Rui Wang, et al.. (2019). Development of drug-inducible CRISPR-Cas9 systems for large-scale functional screening. BMC Genomics. 20(1). 225–225. 26 indexed citations
6.
Yan, Miao, et al.. (2018). Carnosol, a dietary diterpene from rosemary (Rosmarinus officinalis) activates Nrf2 leading to sestrin 2 induction in colon cells. Integrative Molecular Medicine. 5(4). 20 indexed citations
7.
Petiwala, Sakina, Gongbo Li, Maarten C. Bosland, et al.. (2016). Carnosic acid promotes degradation of the androgen receptor and is regulated by the unfolded protein response pathwayin vitroandin vivo. Carcinogenesis. 37(8). 827–838. 14 indexed citations
8.
Li, Gongbo, Sakina Petiwala, Miao Yan, et al.. (2016). Gartanin, an isoprenylated xanthone from the mangosteen fruit (Garcinia mangostana), is an androgen receptor degradation enhancer. Molecular Nutrition & Food Research. 60(6). 1458–1469. 29 indexed citations
9.
Petiwala, Sakina & Jeremy J. Johnson. (2015). Diterpenes from rosemary (Rosmarinus officinalis): Defining their potential for anti-cancer activity. Cancer Letters. 367(2). 93–102. 101 indexed citations
10.
Yan, Miao, et al.. (2015). Standardized rosemary (Rosmarinus officinalis) extract induces Nrf2/sestrin-2 pathway in colon cancer cells. Journal of Functional Foods. 13. 137–147. 38 indexed citations
12.
Petiwala, Sakina, Gongbo Li, Anoop Kumar, et al.. (2014). Pharmacokinetic characterization of mangosteen (Garcinia mangostana) fruit extract standardized to α-mangostin in C57BL/6 mice. Nutrition Research. 34(4). 336–345. 35 indexed citations
13.
Li, Gongbo, Sakina Petiwala, Larisa Nonn, & Jeremy J. Johnson. (2014). Inhibition of CHOP accentuates the apoptotic effect of α-mangostin from the mangosteen fruit (Garcinia mangostana) in 22Rv1 prostate cancer cells. Biochemical and Biophysical Research Communications. 453(1). 75–80. 34 indexed citations
14.
Li, Gongbo, Sakina Petiwala, & Jeremy J. Johnson. (2014). Abstract 4110: Gartanin from the mangosteen fruit modulates androgen receptor and ER stress proteins in prostate cancer cells leading to apoptosis. Cancer Research. 74(19_Supplement). 4110–4110. 1 indexed citations
15.
Li, Gongbo, et al.. (2013). Abstract 3676: Selective modulation of CHOP/GADD153 in prostate cancer cells by alpha-mangostin promotes cell death.. Cancer Research. 73(8_Supplement). 3676–3676. 1 indexed citations
16.
17.
Petiwala, Sakina, et al.. (2013). Polyphenols from the Mediterranean herb rosemary (Rosmarinus officinalis) for prostate cancer. Frontiers in Pharmacology. 4. 29–29. 60 indexed citations
18.
Li, Gongbo, et al.. (2012). Single Dose Oral Pharmacokinetic Profile of α-Mangostin in Mice. Current Drug Targets. 13(14). 1698–1704. 37 indexed citations
19.
Johnson, J.J., Sakina Petiwala, Deeba N. Syed, et al.. (2011).  -Mangostin, a xanthone from mangosteen fruit, promotes cell cycle arrest in prostate cancer and decreases xenograft tumor growth. Carcinogenesis. 33(2). 413–419. 125 indexed citations
20.
Araki, Hiroto, Sudhakar Baluchamy, Benjamin J. Petro, et al.. (2009). Cord blood stem cell expansion is permissive to epigenetic regulation and environmental cues. Experimental Hematology. 37(9). 1084–1095. 18 indexed citations

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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