Sunali Mehta

1.2k total citations
39 papers, 772 citations indexed

About

Sunali Mehta is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sunali Mehta has authored 39 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Sunali Mehta's work include Cancer-related Molecular Pathways (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer Genomics and Diagnostics (6 papers). Sunali Mehta is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer Genomics and Diagnostics (6 papers). Sunali Mehta collaborates with scholars based in New Zealand, Australia and United Kingdom. Sunali Mehta's co-authors include Noha Ahmed Nasef, Cristin G. Print, Lynnette R. Ferguson, Annette Lasham, Antony W. Braithwaite, Andrew N. Shelling, Cherie Blenkiron, Anita Muthukaruppan, George Laking and Tania L. Slatter and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sunali Mehta

39 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunali Mehta New Zealand 17 431 224 188 91 67 39 772
Di Xiao China 16 430 1.0× 190 0.8× 164 0.9× 68 0.7× 42 0.6× 57 782
Narazah Mohd Yusoff Malaysia 17 448 1.0× 244 1.1× 176 0.9× 139 1.5× 70 1.0× 79 1.0k
Daniele G. Soares France 14 439 1.0× 277 1.2× 143 0.8× 103 1.1× 38 0.6× 29 820
Shelley J. Edmunds New Zealand 13 486 1.1× 176 0.8× 216 1.1× 60 0.7× 90 1.3× 15 759
Jiege Huo China 19 403 0.9× 229 1.0× 147 0.8× 99 1.1× 44 0.7× 56 836
Victoria Palau United States 14 459 1.1× 182 0.8× 144 0.8× 65 0.7× 40 0.6× 30 860
Ángeles Carlos‐Reyes Mexico 13 549 1.3× 200 0.9× 254 1.4× 92 1.0× 44 0.7× 31 908
Sreedevi Avasarala United States 14 632 1.5× 176 0.8× 185 1.0× 106 1.2× 34 0.5× 19 967
Khurum Khan United Kingdom 10 289 0.7× 226 1.0× 128 0.7× 82 0.9× 55 0.8× 28 567

Countries citing papers authored by Sunali Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Sunali Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunali Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Sunali Mehta. A scholar is included among the top collaborators of Sunali Mehta 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 Sunali Mehta. Sunali Mehta 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.
2.
Delahunt, Brett, Annette Lasham, Kunyu Li, et al.. (2024). Combining TP53 mutation and isoform has the potential to improve clinical practice. Pathology. 56(4). 473–483. 2 indexed citations
3.
Wang, David, Sunali Mehta, Ziad Thotathil, et al.. (2023). Increased Expression of the Δ133p53β Isoform Enhances Brain Metastasis. International Journal of Molecular Sciences. 24(2). 1267–1267. 5 indexed citations
4.
Wiles, Anna, Sunali Mehta, Adele G. Woolley, et al.. (2023). Activated CD90/Thy-1 fibroblasts co-express the Δ133p53β isoform and are associated with highly inflamed rheumatoid arthritis. Arthritis Research & Therapy. 25(1). 62–62. 1 indexed citations
5.
Arsic, Nikola, Tania L. Slatter, Gilles Gadéa, et al.. (2021). Δ133p53β isoform pro-invasive activity is regulated through an aggregation-dependent mechanism in cancer cells. Nature Communications. 12(1). 5463–5463. 20 indexed citations
6.
Ali, Ajmol, Sunali Mehta, Carlene Starck, et al.. (2021). Effect of SunGold Kiwifruit and Vitamin C Consumption on Ameliorating Exercise‐Induced Stress Response in Women. Molecular Nutrition & Food Research. 65(10). e2001219–e2001219. 5 indexed citations
7.
Mehta, Sunali, Cushla McKinney, Chandra Verma, et al.. (2020). Dephosphorylation of YB-1 is Required for Nuclear Localisation During G2 Phase of the Cell Cycle. Cancers. 12(2). 315–315. 16 indexed citations
8.
Weeks, Robert J., Sunali Mehta, Gail Williams, et al.. (2020). Silencing of Testin expression is a frequent event in spontaneous lymphomas from Trp53-mutant mice. Scientific Reports. 10(1). 16255–16255. 2 indexed citations
9.
Mehta, Sunali, Grégory Gimenez, Hamish G. Campbell, et al.. (2019). The Δ133p53β isoform promotes an immunosuppressive environment leading to aggressive prostate cancer. Cell Death and Disease. 10(9). 631–631. 32 indexed citations
10.
Johnson, Thomas G., Karin Schelch, Sunali Mehta, Andrew Burgess, & Glen Reid. (2019). Why Be One Protein When You Can Affect Many? The Multiple Roles of YB-1 in Lung Cancer and Mesothelioma. Frontiers in Cell and Developmental Biology. 7. 221–221. 25 indexed citations
11.
Lasham, Annette, Sandra Fitzgerald, Nicholas Knowlton, et al.. (2019). A Predictor of Early Disease Recurrence in Patients With Breast Cancer Using a Cell-free RNA and Protein Liquid Biopsy. Clinical Breast Cancer. 20(2). 108–116. 15 indexed citations
12.
Hung, Noelyn, Sunali Mehta, Alison M. Rich, et al.. (2017). Tumor protein 53 mutations are enriched in diffuse large B-cell lymphoma with irregular CD19 marker expression. Scientific Reports. 7(1). 1566–1566. 8 indexed citations
13.
14.
Nasef, Noha Ahmed, Sunali Mehta, & Lynnette R. Ferguson. (2017). Susceptibility to chronic inflammation: an update. Archives of Toxicology. 91(3). 1131–1141. 72 indexed citations
15.
Mehta, Sunali, Peter Tsai, Annette Lasham, et al.. (2016). A Study of TP53 RNA Splicing Illustrates Pitfalls of RNA-seq Methodology. Cancer Research. 76(24). 7151–7159. 28 indexed citations
16.
Nasef, Noha Ahmed, Sunali Mehta, Penny P. Powell, et al.. (2015). Extracts of Feijoa Inhibit Toll-Like Receptor 2 Signaling and Activate Autophagy Implicating a Role in Dietary Control of IBD. PLoS ONE. 10(6). e0130910–e0130910. 12 indexed citations
17.
Nasef, Noha Ahmed, Sunali Mehta, & Lynnette R. Ferguson. (2014). Dietary interactions with the bacterial sensing machinery in the intestine: the plant polyphenol case. Frontiers in Genetics. 5. 64–64. 20 indexed citations
18.
Richter, Susan, Sunali Mehta, Andrew J. Sutherland‐Smith, et al.. (2012). Expression and role in glycolysis of human ADP-dependent glucokinase. Molecular and Cellular Biochemistry. 364(1-2). 131–145. 28 indexed citations
19.
Tercel, Moana, Ho H. Lee, Shangjin Yang, et al.. (2011). Preparation and Antitumour Properties of the Enantiomers of a Hypoxia‐Selective Nitro Analogue of the Duocarmycins. ChemMedChem. 6(10). 1860–1871. 10 indexed citations
20.
Tercel, Moana, Graham J. Atwell, Shangjin Yang, et al.. (2011). Selective Treatment of Hypoxic Tumor Cells In Vivo: Phosphate Pre‐Prodrugs of Nitro Analogues of the Duocarmycins. Angewandte Chemie International Edition. 50(11). 2606–2609. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Di Xiao Breakdown of academic impact, for papers by Narazah Mohd Yusoff Breakdown of academic impact, for papers by Daniele G. Soares Breakdown of academic impact, for papers by Shelley J. Edmunds Breakdown of academic impact, for papers by Jiege Huo Breakdown of academic impact, for papers by Victoria Palau Breakdown of academic impact, for papers by Ángeles Carlos‐Reyes Breakdown of academic impact, for papers by Sreedevi Avasarala Breakdown of academic impact, for papers by Khurum Khan
Rankless by CCL
2026