Deepak Chitkara

3.4k total citations · 1 hit paper
87 papers, 2.7k citations indexed

About

Deepak Chitkara is a scholar working on Molecular Biology, Biomaterials and Pharmaceutical Science. According to data from OpenAlex, Deepak Chitkara has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 25 papers in Biomaterials and 23 papers in Pharmaceutical Science. Recurrent topics in Deepak Chitkara's work include Nanoparticle-Based Drug Delivery (22 papers), RNA Interference and Gene Delivery (21 papers) and Advanced Drug Delivery Systems (16 papers). Deepak Chitkara is often cited by papers focused on Nanoparticle-Based Drug Delivery (22 papers), RNA Interference and Gene Delivery (21 papers) and Advanced Drug Delivery Systems (16 papers). Deepak Chitkara collaborates with scholars based in India, United States and Japan. Deepak Chitkara's co-authors include Anupama Mittal, Ram I. Mahato, Shubham A. Salunkhe, Neeraj Kumar, Saurabh Singh, Saurabh Sharma, Deepak Kumar Sahel, Stephen W. Behrman, Tushar Date and Ariella Shikanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Deepak Chitkara

86 papers receiving 2.6k citations

Hit Papers

Surface functionalization of exosomes for target-specific... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Chitkara India 29 1.4k 755 519 510 395 87 2.7k
Hui Xue China 27 1.6k 1.2× 726 1.0× 434 0.8× 570 1.1× 263 0.7× 101 2.9k
Anupama Mittal India 25 1.1k 0.8× 565 0.7× 409 0.8× 434 0.9× 272 0.7× 85 2.2k
George Mattheolabakis United States 23 1.5k 1.1× 685 0.9× 722 1.4× 574 1.1× 181 0.5× 58 2.5k
Mingji Jin China 29 1.5k 1.1× 778 1.0× 249 0.5× 615 1.2× 267 0.7× 106 3.0k
Wenquan Liang China 31 1.4k 1.0× 635 0.8× 365 0.7× 346 0.7× 645 1.6× 124 2.9k
João Nuno Moreira Portugal 34 2.1k 1.5× 974 1.3× 339 0.7× 664 1.3× 518 1.3× 104 3.5k
Shu‐Fen Peng Taiwan 31 1.8k 1.3× 537 0.7× 307 0.6× 270 0.5× 416 1.1× 109 3.4k
Xianhuo Wang China 30 1.0k 0.8× 697 0.9× 249 0.5× 387 0.8× 284 0.7× 101 3.0k
Jianping Zhou China 29 907 0.7× 801 1.1× 212 0.4× 674 1.3× 274 0.7× 62 2.2k
Hae Yun Nam South Korea 22 1.1k 0.8× 835 1.1× 212 0.4× 497 1.0× 272 0.7× 32 2.2k

Countries citing papers authored by Deepak Chitkara

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Chitkara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Chitkara

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Chitkara. A scholar is included among the top collaborators of Deepak Chitkara 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 Chitkara. Deepak Chitkara 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.
Chitkara, Deepak, et al.. (2024). Downregulation of microRNA-29b in cancer and fibrosis: molecular insights and clinical implications. Drug Discovery Today. 29(11). 104190–104190. 5 indexed citations
2.
Salunkhe, Shubham A., et al.. (2024). Macrophage derived Exosomal Docetaxel (Exo-DTX) for pro-metastasis suppression: QbD driven formulation development, validation, in-vitro and pharmacokinetic investigation. European Journal of Pharmaceutics and Biopharmaceutics. 195. 114175–114175. 3 indexed citations
3.
Sahel, Deepak Kumar, Vivek Singh, Manu Dalela, et al.. (2024). cRGD-modified hybrid lipopolymeric nanoplexes for gene editing in the posterior segment of the eye. International Journal of Biological Macromolecules. 271(Pt 2). 132426–132426. 4 indexed citations
5.
Salunkhe, Shubham A., et al.. (2024). Potent anti-inflammatory and anti-apoptotic activities of electrostatically complexed C-peptide nanospheres ameliorate diabetic nephropathy. Biomaterials Advances. 163. 213935–213935. 3 indexed citations
6.
Sahel, Deepak Kumar, et al.. (2024). Lipo-polymeric nano-complexes for dermal delivery of a model protein. RSC Advances. 14(28). 20351–20364. 2 indexed citations
7.
Kumar, Prashant, Rohan Dhiman, Vijay Kumar Prajapati, et al.. (2023). Lanosterol elevates cytoprotective response through induced-proteasomal degradation of aberrant proteins. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(2). 119631–119631. 2 indexed citations
8.
Mandal, Sanjay K., et al.. (2023). Synthesis of modified bile acids via palladium-catalyzed C(sp3)–H (hetero)arylation. Organic & Biomolecular Chemistry. 21(33). 6719–6729.
9.
Chitkara, Deepak, et al.. (2023). Enhanced anti-tumor efficacy and tumor accumulation of Tamoxifen through cRGD functionalized cholesterol based lipopolymeric nanoparticles for targeted breast cancer therapy. Journal of Drug Delivery Science and Technology. 90. 105173–105173. 3 indexed citations
10.
Kathuria, Himanshu, et al.. (2023). Self-Assembled Lecithin-Chitosan Nanoparticles Improved Rotigotine Nose-to-Brain Delivery and Brain Targeting Efficiency. Pharmaceutics. 15(3). 851–851. 27 indexed citations
11.
Sharma, Saurabh, et al.. (2022). Preclinical safety of tetrahydrocurcumin loaded lipidic nanoparticles incorporated into tacrolimus ointment: In vitro and in vivo evaluation. Food and Chemical Toxicology. 167. 113260–113260. 3 indexed citations
13.
Mittal, Anupama, et al.. (2021). Opportunities and challenges of fatty acid conjugated therapeutics. Chemistry and Physics of Lipids. 236. 105053–105053. 19 indexed citations
14.
Thotakura, Nagarani, Saurabh Sharma, Rajneet Kaur Khurana, et al.. (2019). Aspartic acid tagged carbon nanotubols as a tool to deliver docetaxel to breast cancer cells: Reduced hemotoxicity with improved cytotoxicity. Toxicology in Vitro. 59. 126–134. 13 indexed citations
15.
Sharma, Saurabh, et al.. (2018). Self-assembling lisofylline-fatty acid conjugate for effective treatment of diabetes mellitus. Nanomedicine Nanotechnology Biology and Medicine. 15(1). 175–187. 15 indexed citations
17.
Chitkara, Deepak & Neeraj Kumar. (2013). BSA-PLGA-Based Core-Shell Nanoparticles as Carrier System for Water-Soluble Drugs. Pharmaceutical Research. 30(9). 2396–2409. 59 indexed citations
18.
Mittal, Anupama, et al.. (2011). In vitro release behavior of paclitaxel and carboplatin from poly(l-lactide) microspheres dispersed in thermosensitive biodegradable gel for combination therapy. International Journal of Phytomedicine. 3(2). 245–259. 3 indexed citations
19.
Jain, Jay Prakash, Deepak Chitkara, & Neeraj Kumar. (2008). Polyanhydrides as localized drug delivery carrier: an update. Expert Opinion on Drug Delivery. 5(8). 889–907. 38 indexed citations
20.
Chitkara, Deepak, Ariella Shikanov, Neeraj Kumar, & Abraham J. Domb. (2006). Biodegradable Injectable In Situ Depot‐Forming Drug Delivery Systems. Macromolecular Bioscience. 6(12). 977–990. 83 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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