Deepak Nathiya

700 total citations
59 papers, 280 citations indexed

About

Deepak Nathiya is a scholar working on Molecular Biology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Deepak Nathiya has authored 59 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Infectious Diseases and 8 papers in Cancer Research. Recurrent topics in Deepak Nathiya's work include Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 and Mental Health (5 papers). Deepak Nathiya is often cited by papers focused on Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 and Mental Health (5 papers). Deepak Nathiya collaborates with scholars based in India, Iraq and Saudi Arabia. Deepak Nathiya's co-authors include Balvir Singh Tomar, Preeti Raj, Swati Haldar, Anurag Varshney, Acharya Balkrishna, Deepak Bhandari, Ramesh Roop, Amit K. Mathur, Mohammad Khalid and Sandeep Tripathi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuroscience.

In The Last Decade

Deepak Nathiya

40 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Nathiya India 9 66 45 43 37 35 59 280
Negar Jamshidi Australia 10 68 1.0× 9 0.2× 58 1.3× 47 1.3× 39 1.1× 16 377
Anita Slomski United States 8 37 0.6× 25 0.6× 18 0.4× 33 0.9× 13 0.4× 109 276
Leila Hashemi United States 12 102 1.5× 12 0.3× 32 0.7× 49 1.3× 22 0.6× 32 550
Omar Gammoh Jordan 10 85 1.3× 32 0.7× 18 0.4× 59 1.6× 12 0.3× 24 303
Tzu‐Hsin Huang Taiwan 10 57 0.9× 23 0.5× 15 0.3× 42 1.1× 19 0.5× 30 355
Mihaela Mitroi Romania 9 45 0.7× 55 1.2× 20 0.5× 56 1.5× 32 0.9× 29 337
Shuangning Song China 8 106 1.6× 33 0.7× 78 1.8× 62 1.7× 28 0.8× 12 312
Jinsong Geng China 11 24 0.4× 14 0.3× 19 0.4× 59 1.6× 39 1.1× 26 372
Jan Bogers Netherlands 13 79 1.2× 28 0.6× 17 0.4× 29 0.8× 20 0.6× 35 468
John Alimamy Kabba China 12 25 0.4× 83 1.8× 12 0.3× 88 2.4× 24 0.7× 26 502

Countries citing papers authored by Deepak Nathiya

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Nathiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Nathiya

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Nathiya. A scholar is included among the top collaborators of Deepak Nathiya 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 Deepak Nathiya. Deepak Nathiya 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.
Yadav, Virendra Kumar, Seshathiri Dhanasekaran, Nisha Choudhary, et al.. (2025). Recent advances in nanotechnology for Parkinson’s disease: diagnosis, treatment, and future perspectives. Frontiers in Medicine. 12. 1535682–1535682. 11 indexed citations
2.
Kumar, Gautam, et al.. (2025). Combating Multi-drug Resistant Mycobacterium Species by Efflux Pump Inhibitors: Contemporary Trends. SHILAP Revista de lepidopterología. 6(1).
3.
Singh, Mahaveer, et al.. (2025). Neuropsychiatric manifestations of Long COVID in India: a persistent problem 2.5 years after disease onset. Frontiers in Neurology. 16. 1704801–1704801.
4.
Al-Hawary, Sulieman Ibraheem Shelash, Asokan Vasudevan, Subasini Uthirapathy, et al.. (2025). Mechanistic Interplay of Gut Microbiota and Blood–Brain Barrier Integrity in Neurodegenerative Diseases. Molecular Neurobiology. 63(1). 137–137.
5.
Jain, Rajat, Lalitkumar K. Vora, Deepak Nathiya, & Dharmendra Kumar Khatri. (2025). Nrf2–Keap1 Pathway and NLRP3 Inflammasome in Parkinson’s Disease: Mechanistic Crosstalk and Therapeutic Implications. Molecular Neurobiology. 63(1). 91–91. 1 indexed citations
6.
Saadh, Mohamed J., et al.. (2025). DFT investigation of 5-fluorouracil tautomerism and non-covalent interactions with PLGA nanoparticles for enhanced drug delivery and sensing. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 335. 125945–125945.
7.
Jardan, Yousef A. Bin, et al.. (2025). Computational investigation of drug delivery through pristine and Al/Ga-doped carbon nitride nanomaterials. Materials Chemistry and Physics. 345. 131231–131231.
8.
Hsu, Chou‐Yi, Muhammad Ikram Ullah, Suhas Ballal, et al.. (2025). MUC1 aptamer-functionalized chitosan nanoparticles: Targeted delivery platforms for synergistic cancer therapy and multidrug resistance overcoming. International Journal of Biological Macromolecules. 319(Pt 4). 145514–145514. 2 indexed citations
9.
Wal, Pranay, et al.. (2025). A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications. Current Drug Metabolism. 26(1). 12–29. 3 indexed citations
10.
Bishoyi, Ashok Kumar, et al.. (2025). Mechanistic role of FTO in cancer pathogenesis, immune evasion, chemotherapy resistance, and immunotherapy response. Seminars in Oncology. 52(3). 152368–152368.
11.
12.
Raj, Preeti, et al.. (2025). Exploring the diverse factors influencing healthcare utilization during the COVID-19 crisis. Frontiers in Public Health. 13. 1512735–1512735.
13.
Nathiya, Deepak, et al.. (2024). Exploring the regulatory framework of psychedelics in the US & Europe. Asian Journal of Psychiatry. 102. 104242–104242. 8 indexed citations
14.
Singh, Anurag, et al.. (2024). The effects of vitamin D levels on physical, mental health, and sleep quality in adults: a comprehensive investigation. Frontiers in Nutrition. 11. 1451037–1451037. 3 indexed citations
15.
Singh, S. D., Navneet Singh, Parth Sarthi Sen Gupta, et al.. (2024). Assessing the impact of MSH3 and MSH6 polymorphisms on lung cancer risk in North Indian patients undergoing platinum chemotherapy through molecular dynamics simulation. Scientific Reports. 14(1). 16164–16164. 1 indexed citations
16.
Wankhede, Nitu L., Mayur B. Kale, Deepak Nathiya, et al.. (2024). Leveraging AI for the diagnosis and treatment of autism spectrum disorder: Current trends and future prospects. Asian Journal of Psychiatry. 101. 104241–104241. 20 indexed citations
17.
Singh, Anurag, Preeti Raj, Anupama Sharma, et al.. (2024). Burden of COVID-19 pandemic on tuberculosis hospitalisation patterns at a tertiary care hospital in Rajasthan, India: a retrospective analysis. BMJ Open. 14(5). e080623–e080623. 2 indexed citations
18.
Kumar, Abhishek, et al.. (2024). Long Non-Coding RNAs in Non-Alcoholic Fatty Liver Disease; Friends or Foes?. Cell Biochemistry and Biophysics. 83(1). 279–294.
19.
20.
Tomar, Balvir Singh, et al.. (2021). Prevalence of Symptoms in Patients Discharged from COVID Care Facility of NIMS Hospital: Is RT PCR Negativity Truly Reflecting Recovery? A Single-Centre Observational Study. International Journal of General Medicine. Volume 14. 1069–1078. 9 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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