Deeksha Pal

2.2k total citations · 1 hit paper
44 papers, 1.3k citations indexed

About

Deeksha Pal is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deeksha Pal has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Nephrology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deeksha Pal's work include Renal Diseases and Glomerulopathies (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and Phytochemicals and Medicinal Plants (5 papers). Deeksha Pal is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and Phytochemicals and Medicinal Plants (5 papers). Deeksha Pal collaborates with scholars based in India, United States and Saudi Arabia. Deeksha Pal's co-authors include Ujjawal Sharma, Rajendra Prasad, Brent Stucker, Chendil Damodaran, Murali K. Ankem, Shrawan Kumar Singh, Rajendra Prasad, Venkatesh Kolluru, Rajeev Kapoor and J.K. Chakravartty and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Cancer Research.

In The Last Decade

Deeksha Pal

37 papers receiving 1.3k citations

Hit Papers

Alkaline Phosphatase: An Overview 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deeksha Pal India 15 438 151 149 141 137 44 1.3k
Hai Zou China 21 546 1.2× 199 1.3× 76 0.5× 179 1.3× 100 0.7× 76 1.6k
Peiyu Chen China 17 410 0.9× 61 0.4× 102 0.7× 93 0.7× 65 0.5× 57 1.3k
Yaqin Chen China 24 440 1.0× 190 1.3× 71 0.5× 183 1.3× 48 0.4× 118 1.8k
Rachel Li Australia 20 505 1.2× 326 2.2× 223 1.5× 270 1.9× 123 0.9× 61 1.9k
Linlin Jiang China 26 769 1.8× 168 1.1× 79 0.5× 268 1.9× 72 0.5× 104 2.2k
Junjie Xia China 22 521 1.2× 132 0.9× 55 0.4× 159 1.1× 49 0.4× 107 1.6k
Yifan Sun China 29 950 2.2× 85 0.6× 135 0.9× 106 0.8× 80 0.6× 102 2.4k
Lili Li China 18 517 1.2× 85 0.6× 63 0.4× 82 0.6× 58 0.4× 33 1.2k
Yuheng Zhang China 20 358 0.8× 56 0.4× 60 0.4× 139 1.0× 69 0.5× 76 1.1k

Countries citing papers authored by Deeksha Pal

Since Specialization
Citations

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

Fields of papers citing papers by Deeksha Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deeksha Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Deeksha Pal. A scholar is included among the top collaborators of Deeksha Pal 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 Deeksha Pal. Deeksha Pal 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.
Pal, Deeksha, et al.. (2025). Kolmogorov-like scaling and multifractal complexities in rainfall events. Journal of Statistical Mechanics Theory and Experiment. 2025(4). 43402–43402.
2.
Pal, Deeksha, et al.. (2025). An Overview of the Application of Neural Networks in Orbit Optimization. Journal of Computer Science. 21(3). 558–565.
3.
Verma, K.S., et al.. (2025). Precision fermentation for the next generation of food ingredients: Opportunities and challenges. Future Foods. 12. 100750–100750. 2 indexed citations
4.
Pal, Deeksha, Manphool Singhal, Anupam Lal, et al.. (2024). Augmented mannose‐binding lectin levels in primary membranous nephropathy: A pilot study. Nephrology. 29(9). 617–621.
5.
Sharma, Anil Kumar, Deeksha Pal, Mahiti Gupta, et al.. (2024). Baicalein, a natural flavonoid in gastrointestinal cancers treatment: recent trends and future perspectives. Medical Oncology. 42(1). 35–35. 1 indexed citations
6.
Pal, Deeksha, Dharambir Kashyap, Aman Sharma, et al.. (2024). Withaferin A: the potent anti-cancer agent from Ashwagandha. 36(3). 2 indexed citations
7.
Kaur, Prabhjot, Deeksha Pal, Ritambhra Nada, et al.. (2024). IL-23/IL-17 in a Paradoxical Association with Primary Membranous Nephropathy. Inflammation. 47(4). 1536–1544. 3 indexed citations
8.
Pal, Deeksha, Vinod Kumar, Ashwini Kumar, et al.. (2023). Rituximab in Patients With Primary Membranous Nephropathy With High Immunologic Risk. Kidney International Reports. 8(8). 1660–1664. 3 indexed citations
9.
Kashyap, Dharambir, Riya Sharma, Neelam Goel, et al.. (2023). Coding roles of long non-coding RNAs in breast cancer: Emerging molecular diagnostic biomarkers and potential therapeutic targets with special reference to chemotherapy resistance. Frontiers in Genetics. 13. 993687–993687. 9 indexed citations
10.
Kumar, Vinod, Deeksha Pal, Ashwini Kumar, et al.. (2023). Rituximab in Primary Membranous Nephropathy With Severe CKD. Kidney International Reports. 8(6). 1270–1271. 1 indexed citations
11.
Kumar, Vinod, et al.. (2022). Anti-PLA2R Autoantibodies and Clinical Activity in Patients With Primary Membranous Nephropathy. Journal of the American Society of Nephrology. 33(11S). 949–950.
12.
Prasad, Rajendra, et al.. (2020). Therapeutic Targets in Telomerase and Telomere Biology of Cancers. Indian Journal of Clinical Biochemistry. 35(2). 135–146. 5 indexed citations
13.
Pal, Deeksha, Ashish Tyagi, Balaji Chandrasekaran, et al.. (2018). Suppression of Notch1 and AKT mediated epithelial to mesenchymal transition by Verrucarin J in metastatic colon cancer. Cell Death and Disease. 9(8). 798–798. 34 indexed citations
14.
Pal, Deeksha, Suman Suman, Venkatesh Kolluru, et al.. (2017). Inhibition of autophagy prevents cadmium-induced prostate carcinogenesis. British Journal of Cancer. 117(1). 56–64. 31 indexed citations
15.
Akram, Javed, J.J.S. Dilip, Deeksha Pal, et al.. (2016). Microstructures of Friction Surfaced Coatings – a TEM Study. Practical Metallography. 53(5). 261–272. 3 indexed citations
16.
Pal, Deeksha, Ujjawal Sharma, Shrawan Kumar Singh, Nandita Kakkar, & Rajendra Prasad. (2015). Over-Expression of Telomere Binding Factors (TRF1 & TRF2) in Renal Cell Carcinoma and Their Inhibition by Using SiRNA Induce Apoptosis, Reduce Cell Proliferation and Migration Invitro. PLoS ONE. 10(3). e0115651–e0115651. 44 indexed citations
17.
Sharma, Ujjawal, Deeksha Pal, Shrawan Kumar Singh, Nandita Kakkar, & Rajendra Prasad. (2014). Reduced L/B/K alkaline phosphatase gene expression in renal cell carcinoma: Plausible role in tumorigenesis. Biochimie. 104. 27–35. 11 indexed citations
18.
Pal, Deeksha, Ujjawal Sharma, Shrawan Kumar Singh, & Rajendra Prasad. (2014). Association between ZIP10 gene expression and tumor aggressiveness in renal cell carcinoma. Gene. 552(1). 195–198. 26 indexed citations
19.
Sharma, Ujjawal, Deeksha Pal, & Rajendra Prasad. (2014). A novel role of alkaline phosphatase in the ERK1/2 dephosphorylation in renal cell carcinoma cell lines: A new plausible therapeutic target. Biochimie. 107. 406–409. 17 indexed citations
20.
Sharma, Ujjawal, Deeksha Pal, & Rajendra Prasad. (2013). Alkaline Phosphatase: An Overview. Indian Journal of Clinical Biochemistry. 29(3). 269–278. 679 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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