Varun Garg

2.8k total citations · 1 hit paper
66 papers, 2.1k citations indexed

About

Varun Garg is a scholar working on Hepatology, Pharmaceutical Science and Infectious Diseases. According to data from OpenAlex, Varun Garg has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hepatology, 17 papers in Pharmaceutical Science and 10 papers in Infectious Diseases. Recurrent topics in Varun Garg's work include Hepatitis C virus research (18 papers), Drug Solubulity and Delivery Systems (9 papers) and HIV/AIDS drug development and treatment (9 papers). Varun Garg is often cited by papers focused on Hepatitis C virus research (18 papers), Drug Solubulity and Delivery Systems (9 papers) and HIV/AIDS drug development and treatment (9 papers). Varun Garg collaborates with scholars based in United States, India and Belgium. Varun Garg's co-authors include William J. Jusko, Natalie Dayneka, Sachin Kumar Singh, Monica Gulati, Katia Alves, Rolf van Heeswijk, Harmanpreet Singh, Yogyata Vaidya, Jee Eun Lee and Xia Luo and has published in prestigious journals such as Annals of Internal Medicine, Hepatology and Langmuir.

In The Last Decade

Varun Garg

59 papers receiving 2.1k citations

Hit Papers

Comparison of four basic models of indirect pharmacodynam... 1993 2026 2004 2015 1993 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
Varun Garg United States 22 600 482 435 387 287 66 2.1k
Weimin Cai China 26 199 0.3× 327 0.7× 183 0.4× 681 1.8× 89 0.3× 162 2.6k
Xiaoning Wang China 35 364 0.6× 799 1.7× 154 0.4× 1.4k 3.5× 85 0.3× 120 3.4k
Ali Alqahtani Saudi Arabia 28 66 0.1× 173 0.4× 300 0.7× 906 2.3× 157 0.5× 176 2.8k
Manish Gupta India 39 176 0.3× 352 0.7× 53 0.1× 1.4k 3.6× 215 0.7× 228 4.4k
Alex Hui Hong Kong 34 1.7k 2.8× 2.1k 4.3× 263 0.6× 409 1.1× 90 0.3× 83 3.2k
Seung Hyun Oh South Korea 30 127 0.2× 233 0.5× 87 0.2× 1.4k 3.6× 70 0.2× 100 2.6k
Jun Yao China 29 419 0.7× 657 1.4× 39 0.1× 1.0k 2.6× 158 0.6× 185 3.2k
Jie Fu China 26 52 0.1× 299 0.6× 309 0.7× 1.1k 2.7× 98 0.3× 133 2.8k
Theresa May Chin Tan Singapore 31 166 0.3× 383 0.8× 33 0.1× 1.2k 3.0× 209 0.7× 76 2.9k

Countries citing papers authored by Varun Garg

Since Specialization
Citations

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

Fields of papers citing papers by Varun Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Garg. A scholar is included among the top collaborators of Varun Garg 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 Varun Garg. Varun Garg 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
2.
Roy, Anindita, et al.. (2021). Methods for the Production of Recombinant Heparosan, a Critical Heparin Precursor, from Nonpathogenic E. coli Strains. Methods in molecular biology. 2303. 151–161. 3 indexed citations
3.
Kumar, Bimlesh, Sachin Kumar Singh, Amit Bhatia, et al.. (2020). Pharmacokinetic and pharmacodynamic evaluation of Solid self-nanoemulsifying delivery system (SSNEDDS) loaded with curcumin and duloxetine in attenuation of neuropathic pain in rats. Neurological Sciences. 42(5). 1785–1797. 12 indexed citations
5.
Wadhwa, Sheetu, Varun Garg, Monica Gulati, et al.. (2019). Nanovesicles for Nanomedicine: Theory and Practices. Methods in molecular biology. 2000. 1–17. 18 indexed citations
6.
Gulati, Monica, et al.. (2017). Novel biorelevant dissolution medium as a prognostic tool for polysaccharide-based colon-targeted drug delivery system. Journal of Advanced Pharmaceutical Technology amp Research. 8(4). 150–150. 7 indexed citations
7.
Garg, Varun, Puneet Kaur, Sachin Kumar Singh, et al.. (2017). Solid self-nanoemulsifying drug delivery systems for oral delivery of polypeptide-k: Formulation, optimization, in-vitro and in-vivo antidiabetic evaluation. European Journal of Pharmaceutical Sciences. 109. 297–315. 73 indexed citations
8.
Garg, Varun, Shruti Chopra, Sachin Kumar Singh, et al.. (2017). A comparative study of common technical document in different regulated market. Journal of Pharmacy Research. 1015–1024. 3 indexed citations
9.
Singh, Sachin Kumar, et al.. (2016). Nanosuspension: Principles, Perspectives and Practices. Current Drug Delivery. 13(8). 1222–1246. 35 indexed citations
10.
Garg, Varun, Harmanpreet Singh, Amit Bhatia, et al.. (2016). Systematic Development of Transethosomal Gel System of Piroxicam: Formulation Optimization, In Vitro Evaluation, and Ex Vivo Assessment. AAPS PharmSciTech. 18(1). 58–71. 136 indexed citations
11.
Morelli, Giuseppe, Roberto J. Firpi, Joy Peter, et al.. (2015). Open-Label Study to Evaluate the Safety & Tolerability of Telaprevir in Combination with Sofosbuvir in Naive Subjects with HCV Genotype 1 Short Title: Telaprevir & Sofosbuvir in HCV Genotype 1. Journal of Gastroenterology and Hepatology Research. 4(5). 1599–1604. 2 indexed citations
12.
Morelli, Giuseppe, Roberto J. Firpi, Lucy Akushevich, et al.. (2015). Open-Label Study to Evaluate the Safety & Tolerability of Telaprevir in Combination With Sofosbuvir in Naive Subjects Infected With Hepatitis C Virus Genotype 1. Journal of Gastroenterology and Hepatology Research. 4(5). 1599–1604. 1 indexed citations
13.
Gulati, Ajay, et al.. (2013). A unique case of cervical osteochondroma causing dysphagia. The Turkish Journal of Ear Nose and Throat. 23(4). 246–248. 9 indexed citations
14.
Heeswijk, Rolf van, Pieter Verboven, Jan Snoeys, et al.. (2013). Pharmacokinetic Interaction between Telaprevir and Methadone. Antimicrobial Agents and Chemotherapy. 57(5). 2304–2309. 22 indexed citations
15.
Garg, Varun, Gurudatt Chandorkar, Yijun Yang, et al.. (2012). The effect of CYP3A inhibitors and inducers on the pharmacokinetics of telaprevir in healthy volunteers. British Journal of Clinical Pharmacology. 75(2). 431–439. 35 indexed citations
16.
Garg, Varun, et al.. (2011). Effect of Telaprevir on the Pharmacokinetics of Midazolam and Digoxin. The Journal of Clinical Pharmacology. 52(10). 1566–1573. 49 indexed citations
18.
Garg, Varun & William J. Jusko. (1994). Effects of Indomethacin on the Pharmacokinetics and Pharmacodynamics of Prednisolone in Rats. Journal of Pharmaceutical Sciences. 83(5). 747–750. 4 indexed citations
19.
Dayneka, Natalie, Varun Garg, & William J. Jusko. (1993). Comparison of four basic models of indirect pharmacodynamic responses. Journal of Pharmacokinetics and Biopharmaceutics. 21(4). 457–478. 612 indexed citations breakdown →
20.
Garg, Varun & William J. Jusko. (1991). Simultaneous analysis of prednisone, prednisolone and their major hydroxylated metabolites in urine by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 567(1). 39–47. 45 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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