Sandeep Arora

713 total citations
18 papers, 440 citations indexed

About

Sandeep Arora is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Sandeep Arora has authored 18 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Sandeep Arora's work include Computational Drug Discovery Methods (2 papers), Nerve injury and regeneration (2 papers) and Nuclear Receptors and Signaling (2 papers). Sandeep Arora is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Nerve injury and regeneration (2 papers) and Nuclear Receptors and Signaling (2 papers). Sandeep Arora collaborates with scholars based in India, Bangladesh and Türkiye. Sandeep Arora's co-authors include Tapan Behl, Arun Kumar, Gökhan Zengin, Ishnoor Kaur, Simona Bungău, Md. Sahab Uddin, Vineet Mehta, Lotfi Aleya, Mohamed M. Abdel‐Daim and Roxana Oancea and has published in prestigious journals such as International Journal of Molecular Sciences, Life Sciences and Environmental Science and Pollution Research.

In The Last Decade

Sandeep Arora

17 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Arora India 11 111 72 55 53 41 18 440
Thyago Moreira de Queiroz Brazil 11 104 0.9× 88 1.2× 36 0.7× 32 0.6× 20 0.5× 26 448
Diana Uivaroșan Romania 14 154 1.4× 103 1.4× 19 0.3× 39 0.7× 33 0.8× 25 674
Gehad M. Subaiea Saudi Arabia 15 131 1.2× 137 1.9× 24 0.4× 27 0.5× 39 1.0× 30 509
Juan Carlos Gómez-Verján Mexico 15 227 2.0× 98 1.4× 31 0.6× 9 0.2× 31 0.8× 49 631
Youngho Jang South Korea 13 166 1.5× 54 0.8× 20 0.4× 22 0.4× 55 1.3× 27 540
Rajendra Nath India 16 175 1.6× 55 0.8× 14 0.3× 41 0.8× 47 1.1× 58 650
Robert K. Drobitch United States 8 148 1.3× 54 0.8× 38 0.7× 31 0.6× 20 0.5× 12 478
Daisuke Furushima Japan 12 64 0.6× 63 0.9× 45 0.8× 34 0.6× 9 0.2× 31 436
Augusto Filipe Spain 10 147 1.3× 79 1.1× 31 0.6× 23 0.4× 46 1.1× 38 607
Ekramy Elmorsy Egypt 18 151 1.4× 82 1.1× 11 0.2× 39 0.7× 52 1.3× 93 742

Countries citing papers authored by Sandeep Arora

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Arora. A scholar is included among the top collaborators of Sandeep Arora 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 Sandeep Arora. Sandeep Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Arora, Sandeep, Anupama Rajesh, Richa Misra, & Gurinder Singh. (2025). Bridging technology and trust: the role of AI-driven robo-advisors in middle-class financial management. Management Decision. 1–24.
2.
Gupta, Manisha, Pawan Krishan, Amarjot Kaur, et al.. (2021). Mechanistic and physiological approaches of fecal microbiota transplantation in the management of NAFLD. Inflammation Research. 70(7). 765–776. 17 indexed citations
3.
Kaur, Ishnoor, Tapan Behl, Lotfi Aleya, et al.. (2021). Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic. Environmental Science and Pollution Research. 28(30). 40515–40532. 25 indexed citations
4.
Kaur, Ishnoor, Tapan Behl, Lotfi Aleya, et al.. (2021). Role of metallic pollutants in neurodegeneration: effects of aluminum, lead, mercury, and arsenic in mediating brain impairment events and autism spectrum disorder. Environmental Science and Pollution Research. 28(8). 8989–9001. 52 indexed citations
5.
Vishwas, Sukriti, Monica Gulati, Bhupinder Kapoor, et al.. (2020). Expanding the Arsenal Against Huntington's Disease-Herbal Drugs and Their Nanoformulations. Current Neuropharmacology. 19(7). 957–989. 37 indexed citations
6.
Badavath, Vishnu Nayak, Venkatesan Jayaprakash, Susanta Mondal, et al.. (2020). Pharmacokinetic Studies of Curcumin Based Pyrazoline MAO Inhibitors. 8(2). 85–89. 1 indexed citations
7.
Behl, Tapan, Ishnoor Kaur, Simona Bungău, et al.. (2020). The dual impact of ACE2 in COVID-19 and ironical actions in geriatrics and pediatrics with possible therapeutic solutions. Life Sciences. 257. 118075–118075. 79 indexed citations
8.
Behl, Tapan, Ishnoor Kaur, Arun Kumar, et al.. (2020). Gene Therapy in the Management of Parkinson’s Disease: Potential of GDNF as a Promising Therapeutic Strategy. Current Gene Therapy. 20(3). 207–222. 18 indexed citations
9.
Makkar, Rashita, Tapan Behl, Simona Bungău, et al.. (2020). Nutraceuticals in Neurological Disorders. International Journal of Molecular Sciences. 21(12). 4424–4424. 117 indexed citations
10.
Garg, Nidhi, et al.. (2020). Application of Mobile Technology for Disease and Treatment Monitoring of Gestational Diabetes Mellitus Among Pregnant Women: A Systematic Review. Journal of Diabetes Science and Technology. 16(2). 491–497. 19 indexed citations
11.
Behl, Tapan, et al.. (2020). Role of brain derived neurotropic factor in obesity. Obesity Medicine. 17. 100189–100189. 25 indexed citations
12.
Grewal, Amarjot Kaur, Sandeep Arora, & Thakur Gurjeet Singh. (2019). Role of Protein Kinase C in Diabetic Complications. 7(2). 87–95. 7 indexed citations
13.
Garg, Nidhi, et al.. (2019). Insights of Breast Cancer and Barriers to its Therapy. 7(2). 73–86. 2 indexed citations
14.
Makkar, Rashita, et al.. (2019). Insights into the role of endostatin in obesity. Obesity Medicine. 15. 100120–100120. 4 indexed citations
15.
Behl, Tapan, Chanchal Kumar, Roshan Kumar Singh, Taruna Arora, & Sandeep Arora. (2018). Traditional and Novel Herbal Drugs Emerging as Potent Novel Combinations for Managing Morbidities by Pharmacological and Mechanistic Studies. 6(1). 31–53. 2 indexed citations
16.
Chopra, Hitesh, Sandeep Kumar, Vandana Bharti, & Sandeep Arora. (2014). Pharmacogenomics: Applications in Drug Discovery and Pharmacotherapy. 2(1). 47–60. 1 indexed citations
17.
Pawar, Pravin, et al.. (2012). Novel drug delivery approaches on antiviral and antiretroviral agents. Journal of Advanced Pharmaceutical Technology amp Research. 3(3). 147–147. 23 indexed citations
18.
Rehni, Ashish K., Thakur Gurjeet Singh, & Sandeep Arora. (2011). SU-6656, a Selective Src Kinase Inhibitor, Attenuates Mecamylamine-Precipitated Nicotine Withdrawal Syndrome in Mice. Nicotine & Tobacco Research. 14(4). 407–414. 11 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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