Mukul Ashtikar

847 total citations
19 papers, 689 citations indexed

About

Mukul Ashtikar is a scholar working on Pharmaceutical Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Mukul Ashtikar has authored 19 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmaceutical Science, 8 papers in Molecular Biology and 7 papers in Biomaterials. Recurrent topics in Mukul Ashtikar's work include Advancements in Transdermal Drug Delivery (6 papers), Nanoparticle-Based Drug Delivery (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Mukul Ashtikar is often cited by papers focused on Advancements in Transdermal Drug Delivery (6 papers), Nanoparticle-Based Drug Delivery (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Mukul Ashtikar collaborates with scholars based in Germany, Singapore and United States. Mukul Ashtikar's co-authors include Alfred Fahr, Matthias G. Wacker, Frank Steiniger, Qiuyi Choo, Susanne Bremer‐Hoffmann, Margareth Marques, Sanket Shah, Ankitkumar S. Jain, Rajiv P. Gude and Mangal S. Nagarsenker and has published in prestigious journals such as Advanced Drug Delivery Reviews, Langmuir and Journal of Controlled Release.

In The Last Decade

Mukul Ashtikar

19 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukul Ashtikar Germany 16 334 189 177 122 88 19 689
Parbeen Singh China 11 328 1.0× 124 0.7× 133 0.8× 148 1.2× 61 0.7× 17 570
Yating Fan China 12 276 0.8× 152 0.8× 121 0.7× 88 0.7× 43 0.5× 22 619
Rihab Osman Egypt 18 352 1.1× 153 0.8× 213 1.2× 135 1.1× 74 0.8× 38 802
Jayamanti Pandit India 12 492 1.5× 211 1.1× 152 0.9× 63 0.5× 29 0.3× 20 792
Marco Bragagni Italy 17 592 1.8× 227 1.2× 150 0.8× 67 0.5× 65 0.7× 20 850
Shaoping Yin China 14 126 0.4× 254 1.3× 326 1.8× 243 2.0× 68 0.8× 26 768
Suman Labala India 10 164 0.5× 252 1.3× 150 0.8× 119 1.0× 39 0.4× 11 568
Anja Graf New Zealand 10 285 0.9× 228 1.2× 75 0.4× 44 0.4× 38 0.4× 11 630
Ram R. Patlolla United States 11 464 1.4× 304 1.6× 139 0.8× 86 0.7× 42 0.5× 15 921
Hend Mohamed Abdel‐Bar Egypt 18 180 0.5× 235 1.2× 244 1.4× 131 1.1× 66 0.8× 37 712

Countries citing papers authored by Mukul Ashtikar

Since Specialization
Citations

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

Fields of papers citing papers by Mukul Ashtikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukul Ashtikar

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

All Works

19 of 19 papers shown
1.
Ashtikar, Mukul, et al.. (2023). How wound environments trigger the release from Rifampicin-loaded liposomes. International Journal of Pharmaceutics. 633. 122606–122606. 6 indexed citations
2.
Dhawan, Vivek, Brijesh Sutariya, Mukul Ashtikar, et al.. (2021). Polysaccharide conjugates surpass monosaccharide ligands in hepatospecific targeting – Synthesis and comparative in silico and in vitro assessment. Carbohydrate Research. 509. 108417–108417. 3 indexed citations
3.
Ashtikar, Mukul, Ge Gao, Jiong‐Wei Wang, et al.. (2020). Predicting human pharmacokinetics of liposomal temoporfin using a hybrid in silico model. European Journal of Pharmaceutics and Biopharmaceutics. 149. 121–134. 23 indexed citations
4.
Gao, Ge, et al.. (2020). Predicting drug release and degradation kinetics of long-acting microsphere formulations of tacrolimus for subcutaneous injection. Journal of Controlled Release. 329. 372–384. 30 indexed citations
5.
Ashtikar, Mukul, Ge Gao, Annegret Preuß, et al.. (2019). Advanced in silico modeling explains pharmacokinetics and biodistribution of temoporfin nanocrystals in humans. Journal of Controlled Release. 308. 57–70. 38 indexed citations
6.
Marques, Margareth, et al.. (2019). Nanomedicines - Tiny particles and big challenges. Advanced Drug Delivery Reviews. 151-152. 23–43. 80 indexed citations
7.
Klumpp, Lukas, et al.. (2019). Stability of Biorelevant Media Under Various Storage Conditions. Dissolution Technologies. 26(2). 6–18. 14 indexed citations
8.
Ashtikar, Mukul, et al.. (2018). Predictive PBPK modeling as a tool in the formulation of the drug candidate TMP-001. European Journal of Pharmaceutics and Biopharmaceutics. 134. 144–152. 15 indexed citations
9.
Ashtikar, Mukul & Matthias G. Wacker. (2018). Nanopharmaceuticals for wound healing – Lost in translation?. Advanced Drug Delivery Reviews. 129. 194–218. 65 indexed citations
10.
Feczkó, Tivadar, Albrecht Piiper, Saema Ansar, et al.. (2018). Stimulating brain recovery after stroke using theranostic albumin nanocarriers loaded with nerve growth factor in combination therapy. Journal of Controlled Release. 293. 63–72. 31 indexed citations
11.
Ashtikar, Mukul, et al.. (2017). Tip-enhanced Raman scattering for tracking of invasomes in the stratum corneum. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(11). 2630–2639. 15 indexed citations
12.
Beyer, Susanne, M. Schmidt, Natasja de Bruin, et al.. (2016). Optimizing novel implant formulations for the prolonged release of biopharmaceuticals using in vitro and in vivo imaging techniques. Journal of Controlled Release. 235. 352–364. 24 indexed citations
13.
Ashtikar, Mukul, et al.. (2016). Transdermal delivery from liposomal formulations – Evolution of the technology over the last three decades. Journal of Controlled Release. 242. 126–140. 117 indexed citations
14.
Ashtikar, Mukul, et al.. (2016). Understanding cochleate formation: insights into structural development. Soft Matter. 12(16). 3797–3809. 24 indexed citations
15.
Ashtikar, Mukul, et al.. (2016). Micro-spherical cochleate composites: method development for monodispersed cochleate system. Journal of Liposome Research. 27(1). 32–40. 17 indexed citations
16.
Shah, Sanket, Mukul Ashtikar, Ankitkumar S. Jain, et al.. (2015). LeciPlex, invasomes, and liposomes: A skin penetration study. International Journal of Pharmaceutics. 490(1-2). 391–403. 98 indexed citations
17.
Ashtikar, Mukul, Jana Thamm, Frank Steiniger, et al.. (2014). Electron Microscopy and Theoretical Modeling of Cochleates. Langmuir. 30(44). 13143–13151. 17 indexed citations
18.
Ashtikar, Mukul, Christian Matthäus, Michael Schmitt, et al.. (2013). Non-invasive depth profile imaging of the stratum corneum using confocal Raman microscopy: First insights into the method. European Journal of Pharmaceutical Sciences. 50(5). 601–608. 51 indexed citations
19.
Uzun, Ece D. Gamsiz, et al.. (2010). Predicting the Effect of Fed-State Intestinal Contents on Drug Dissolution. Pharmaceutical Research. 27(12). 2646–2656. 21 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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