Maulikkumar Patel

462 total citations
34 papers, 299 citations indexed

About

Maulikkumar Patel is a scholar working on Molecular Biology, Cancer Research and Dermatology. According to data from OpenAlex, Maulikkumar Patel has authored 34 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Dermatology. Recurrent topics in Maulikkumar Patel's work include MicroRNA in disease regulation (9 papers), Hidradenitis Suppurativa and Treatments (5 papers) and Circular RNAs in diseases (5 papers). Maulikkumar Patel is often cited by papers focused on MicroRNA in disease regulation (9 papers), Hidradenitis Suppurativa and Treatments (5 papers) and Circular RNAs in diseases (5 papers). Maulikkumar Patel collaborates with scholars based in India, United States and Italy. Maulikkumar Patel's co-authors include Rakesh Rawal, Saumya Patel, Arpita Ghosh, Himanshu Pandya, Archana Mankad, Surendra K. Chikara, Neha Jha, Kanisha Shah, Mahesh C. Sharma and Marcello Iriti and has published in prestigious journals such as International Journal of Molecular Sciences, Human Molecular Genetics and Frontiers in Immunology.

In The Last Decade

Maulikkumar Patel

31 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maulikkumar Patel India 11 152 81 76 46 35 34 299
Xinghong Ding China 11 143 0.9× 35 0.4× 66 0.9× 11 0.2× 17 0.5× 27 337
Julia Dolores Toscano-Garibay Mexico 10 228 1.5× 57 0.7× 40 0.5× 8 0.2× 24 0.7× 23 370
Yijing Ren China 11 158 1.0× 26 0.3× 15 0.2× 8 0.2× 19 0.5× 24 323
Weifeng Yang China 11 77 0.5× 38 0.5× 53 0.7× 10 0.2× 7 0.2× 33 445
Yuna Jo South Korea 11 151 1.0× 25 0.3× 15 0.2× 18 0.4× 14 0.4× 26 343
Sung-Yeon Hwang South Korea 11 195 1.3× 32 0.4× 65 0.9× 4 0.1× 40 1.1× 14 395
Jingbo Zhou China 14 311 2.0× 47 0.6× 9 0.1× 33 0.7× 22 0.6× 27 414
Xiangzhong Liu China 12 150 1.0× 36 0.4× 83 1.1× 3 0.1× 17 0.5× 43 379
Yingxin Wei China 11 104 0.7× 21 0.3× 13 0.2× 41 0.9× 17 0.5× 27 355
Shaorong Zhang China 10 174 1.1× 145 1.8× 19 0.3× 5 0.1× 23 0.7× 20 452

Countries citing papers authored by Maulikkumar Patel

Since Specialization
Citations

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

Fields of papers citing papers by Maulikkumar Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maulikkumar Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Maulikkumar Patel. A scholar is included among the top collaborators of Maulikkumar Patel 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 Maulikkumar Patel. Maulikkumar Patel 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.
Ghazaleh, Sami, Maulikkumar Patel, Wade Lee‐Smith, et al.. (2025). Sodium-Glucose Cotransporter-2 Inhibitors in Liver Cirrhosis: A Systematic Review of Their Role in Ascites Management, Slowing Disease Progression, and Safety. International Journal of Molecular Sciences. 26(10). 4781–4781. 3 indexed citations
2.
Jones, William G., et al.. (2025). A Hard Problem: Managing Constipation in the Geriatric Population. HCA Healthcare Journal of Medicine. 6(4). 303–309.
4.
Radhakrishna, Uppala, Devendrasinh Jhala, Maulikkumar Patel, et al.. (2024). DNA methylation patterns of circadian and ultradian genes are altered in the peripheral blood of patients with hidradenitis suppurativa. Frontiers in Immunology. 15. 1475424–1475424. 2 indexed citations
5.
Radhakrishna, Uppala, Uppala Ratnamala, Devendrasinh Jhala, et al.. (2024). Deregulated Long Non-Coding RNAs (lncRNA) as Promising Biomarkers in Hidradenitis Suppurativa. Journal of Clinical Medicine. 13(10). 3016–3016. 7 indexed citations
6.
Hyland, James, et al.. (2024). Review of Attributes and Outcomes of Hospitalized Patients with Alcohol Withdrawal. Journal of Community Hospital Internal Medicine Perspectives. 14(6). 35–42.
7.
Radhakrishna, Uppala, Devendrasinh Jhala, Maulikkumar Patel, et al.. (2023). Hidradenitis suppurativa associated telomere‐methylome dysregulations in blood. Journal of the European Academy of Dermatology and Venereology. 38(2). 393–403. 8 indexed citations
8.
Radhakrishna, Uppala, Devendrasinh Jhala, Maulikkumar Patel, et al.. (2023). Hidradenitis suppurativa presents a methylome dysregulation capable to explain the pro‐inflammatory microenvironment: Are theseDNAmethylations potential therapeutic targets?. Journal of the European Academy of Dermatology and Venereology. 37(10). 2109–2123. 13 indexed citations
9.
Kumar, Sivakumar Prasanth, et al.. (2023). Targeting leukemic stem cell subpopulation in AML using phytochemicals: An in-silico and in-vitro approach. Computers in Biology and Medicine. 155. 106644–106644. 2 indexed citations
10.
Patel, Maulikkumar, et al.. (2023). MicroRNAs from Holarrhena pubescens stems: Identification by small RNA Sequencing and their Potential Contribution to Human Gene Targets. Functional & Integrative Genomics. 23(2). 149–149. 6 indexed citations
11.
Patel, Maulikkumar, et al.. (2023). Small RNA sequencing and identification of Andrographis paniculata miRNAs with potential cross‑kingdom human gene targets. Functional & Integrative Genomics. 23(1). 55–55. 3 indexed citations
12.
Mishra, Birendra Kumar, et al.. (2022). Genomic and probiotic attributes of Lactobacillus strains from rice-based fermented foods of North Eastern India. Journal of Food Science and Technology. 60(2). 504–516. 4 indexed citations
13.
Jha, Neha, et al.. (2022). Small RNA sequencing and identification of papaya (Carica papaya L.) miRNAs with potential cross-kingdom human gene targets. Molecular Genetics and Genomics. 297(4). 981–997. 11 indexed citations
14.
Patel, Maulikkumar, et al.. (2021). Targeting Bone Metastases Signaling Pathway Using Moringa oleifera Seed Nutri-miRs: A Cross Kingdom Approach. Nutrition and Cancer. 74(7). 2522–2539. 5 indexed citations
15.
Patel, Maulikkumar, et al.. (2021). A predictive biomarker panel for bone metastases: Liquid biopsy approach. Journal of bone oncology. 29. 100374–100374. 10 indexed citations
16.
Djahanshahi, H., et al.. (2020). Single-Event Effects Characterization of LC-VCO PLLs in a 28-nm CMOS Technology. IEEE Transactions on Nuclear Science. 67(9). 2042–2050. 10 indexed citations
17.
Patel, Maulikkumar, Shanaya Patel, Saumya Patel, et al.. (2018). Ocimum basilicum miRNOME revisited: A cross kingdom approach. Genomics. 111(4). 772–785. 16 indexed citations
18.
Gupta, Hemant, et al.. (2015). An approach to identify the novel miRNA encoded from H. Annuus EST sequences. Genomics Data. 6. 139–144. 16 indexed citations
19.
Patel, Maulikkumar, et al.. (2014). Comparative de novo transcriptome analysis and metabolic pathway studies of Citrus paradisi flavedo from naive stage to ripened stage. Molecular Biology Reports. 41(5). 3071–3080. 7 indexed citations
20.
Patel, Maulikkumar, et al.. (2013). Miniaturisation Method to Reduce the Size of Microstrip Antenna for Lower Frequency. IJSRD : international journal for scientific research and development. 1(1). 26–28. 3 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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