Esha T. Shah

731 total citations
32 papers, 457 citations indexed

About

Esha T. Shah is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Esha T. Shah has authored 32 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Physiology. Recurrent topics in Esha T. Shah's work include Mathematical Biology Tumor Growth (5 papers), DNA Repair Mechanisms (4 papers) and Adipose Tissue and Metabolism (4 papers). Esha T. Shah is often cited by papers focused on Mathematical Biology Tumor Growth (5 papers), DNA Repair Mechanisms (4 papers) and Adipose Tissue and Metabolism (4 papers). Esha T. Shah collaborates with scholars based in Australia, India and United States. Esha T. Shah's co-authors include Matthew J. Simpson, Lisa K. Chopin, Scott W. McCue, Stuart T. Johnston, Wang Jin, D. L. S. McElwain, Catherine J. Penington, Mark N. Adams, Kenneth J. O’Byrne and Inge Seim and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Esha T. Shah

29 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esha T. Shah Australia 13 216 96 83 75 47 32 457
Sabine Dormann Germany 9 153 0.7× 162 1.7× 77 0.9× 112 1.5× 34 0.7× 13 431
Jarosław Śmieja Poland 12 192 0.9× 178 1.9× 96 1.2× 67 0.9× 65 1.4× 48 407
Walter de Back Germany 10 260 1.2× 86 0.9× 74 0.9× 118 1.6× 40 0.9× 19 558
Jonathan Tang United States 13 264 1.2× 50 0.5× 80 1.0× 50 0.7× 57 1.2× 20 514
Yafei Wang China 13 264 1.2× 127 1.3× 123 1.5× 72 1.0× 157 3.3× 32 586
Xiaojing Ren China 9 276 1.3× 89 0.9× 26 0.3× 42 0.6× 44 0.9× 29 535
Alexander P. Browning Australia 13 153 0.7× 133 1.4× 64 0.8× 39 0.5× 20 0.4× 29 397
Ahmadreza Ghaffarizadeh United States 10 233 1.1× 203 2.1× 113 1.4× 99 1.3× 56 1.2× 17 567
Vincent Calvez France 9 132 0.6× 172 1.8× 36 0.4× 45 0.6× 31 0.7× 10 375
Ingeborg M.M. van Leeuwen United Kingdom 15 343 1.6× 99 1.0× 245 3.0× 129 1.7× 74 1.6× 20 711

Countries citing papers authored by Esha T. Shah

Since Specialization
Citations

This map shows the geographic impact of Esha T. Shah'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 Esha T. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esha T. Shah more than expected).

Fields of papers citing papers by Esha T. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esha T. Shah. 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 Esha T. Shah. The network helps show where Esha T. Shah may publish in the future.

Co-authorship network of co-authors of Esha T. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Esha T. Shah. A scholar is included among the top collaborators of Esha T. Shah 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 Esha T. Shah. Esha T. Shah 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.
Shah, Esha T., Christopher J. Molloy, Thomas Kryza, et al.. (2024). Inhibition of Aurora B kinase (AURKB) enhances the effectiveness of 5-fluorouracil chemotherapy against colorectal cancer cells. British Journal of Cancer. 130(7). 1196–1205. 8 indexed citations
2.
Shah, Esha T., S.G. Mason, Emma Bolderson, et al.. (2024). Targeting the hSSB1-INTS3 Interface: A Computational Screening Driven Approach to Identify Potential Modulators. ACS Omega. 9(7). 8362–8373. 1 indexed citations
3.
Shah, Esha T., et al.. (2023). An Exploration of Small Molecules That Bind Human Single-Stranded DNA Binding Protein 1. Biology. 12(11). 1405–1405. 3 indexed citations
4.
Adams, Mark N., Aaron Urquhart, Anja Rockstroh, et al.. (2023). hSSB1 (NABP2/OBFC2B) modulates the DNA damage and androgen‐induced transcriptional response in prostate cancer. The Prostate. 83(7). 628–640. 6 indexed citations
5.
Shah, Esha T., et al.. (2022). Semaphorin signaling restricts neuronal regeneration in C. elegans. Frontiers in Cell and Developmental Biology. 10. 814160–814160. 1 indexed citations
6.
Gandhi, Neha S., Esha T. Shah, Eric D. Boittier, et al.. (2021). Elevating CDCA3 levels in non-small cell lung cancer enhances sensitivity to platinum-based chemotherapy. Communications Biology. 4(1). 638–638. 14 indexed citations
7.
Dave, Keyur A., Christopher J. Molloy, Neha S. Gandhi, et al.. (2021). Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer. Frontiers in Oncology. 11. 615967–615967. 6 indexed citations
8.
Baker, Ruth E., et al.. (2019). Mechanistic and experimental models of cell migration reveal the importance of cell-to-cell pushing in cell invasion. Biomedical Physics & Engineering Express. 5(4). 45009–45009. 7 indexed citations
9.
Shah, Esha T., et al.. (2019). Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features. Journal of the Indian Society of Remote Sensing. 47(12). 2113–2127. 18 indexed citations
10.
11.
Seim, Inge, Patrick B. Thomas, Esha T. Shah, et al.. (2018). No effect of unacylated ghrelin administration on subcutaneous PC3 xenograft growth or metabolic parameters in a Rag1-/- mouse model of metabolic dysfunction. PLoS ONE. 13(11). e0198495–e0198495. 3 indexed citations
12.
Thomas, Patrick B., Lisa Philp, Esha T. Shah, et al.. (2017). Insights from engraftable immunodeficient mouse models of hyperinsulinaemia. Scientific Reports. 7(1). 491–491. 14 indexed citations
13.
Jin, Wang, Esha T. Shah, Catherine J. Penington, et al.. (2017). Logistic Proliferation of Cells in Scratch Assays is Delayed. Bulletin of Mathematical Biology. 79(5). 1028–1050. 27 indexed citations
14.
Browning, Alexander P., Scott W. McCue, Rachelle N. Binny, et al.. (2017). Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data. Journal of Theoretical Biology. 437. 251–260. 27 indexed citations
15.
Shah, Esha T., Lisa Philp, Tiffany Tang, et al.. (2016). Repositioning “old” drugs for new causes: identifying new inhibitors of prostate cancer cell migration and invasion. Clinical & Experimental Metastasis. 33(4). 385–399. 18 indexed citations
16.
Škalamera, Dubravka, Alexander J. Stevenson, Esha T. Shah, et al.. (2016). Genome-wide gain-of-function screen for genes that induce epithelial-to-mesenchymal transition in breast cancer. Oncotarget. 7(38). 61000–61020. 8 indexed citations
17.
Jin, Wang, Esha T. Shah, Catherine J. Penington, et al.. (2015). Reproducibility of scratch assays is affected by the initial degree of confluence: Experiments, modelling and model selection. Journal of Theoretical Biology. 390. 136–145. 74 indexed citations
18.
Johnston, Stuart T., Esha T. Shah, Lisa K. Chopin, D. L. S. McElwain, & Matthew J. Simpson. (2015). Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model. BMC Systems Biology. 9(1). 38–38. 83 indexed citations
19.
Shah, Esha T.. (2011). Science in the Risk Politics of Bt Brinjal. Economic and political weekly. 46(31). 31–37. 17 indexed citations
20.
Stokstad, E. L. R., et al.. (1966). Effect of Thyroxine on Folic Acid Metabolism. Experimental Biology and Medicine. 123(3). 752–754. 5 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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