Shashank Jain

1.2k total citations
33 papers, 851 citations indexed

About

Shashank Jain is a scholar working on Pharmaceutical Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shashank Jain has authored 33 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmaceutical Science, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Shashank Jain's work include Advancements in Transdermal Drug Delivery (7 papers), Advanced Drug Delivery Systems (4 papers) and Atmospheric chemistry and aerosols (4 papers). Shashank Jain is often cited by papers focused on Advancements in Transdermal Drug Delivery (7 papers), Advanced Drug Delivery Systems (4 papers) and Atmospheric chemistry and aerosols (4 papers). Shashank Jain collaborates with scholars based in United States, India and South Sudan. Shashank Jain's co-authors include Niketkumar Patel, Senshang Lin, Pinak Khatri, Mansi Shah, Parshotam Madan, Giuseppe A. Petrucci, André Venter, Mohammed A. Qadeer, James Zahardis and Semere Ghebru Bairu and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and International Journal of Pharmaceutics.

In The Last Decade

Shashank Jain

32 papers receiving 809 citations

Peers

Shashank Jain

SPECT

DERMA

Marco Pintore France

Zezhi Shao United States

Naresh Pavurala United States

Yasuko Obata Japan

Zorica Djurić Serbia

Xinglong Zhang China

Manel Alcalà Spain

G. Saravanan India

Jia Woei Wong Malaysia

Samir Patel India

Marco Pintore France

Shashank Jain

35 ×0.1

99 ×0.6

63 ×0.6

SPECT

67 ×0.7

28 ×0.3

DERMA

Citations per year, relative to Shashank Jain Shashank Jain (= 1×) peers Marco Pintore

Countries citing papers authored by Shashank Jain

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Jain

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

All Works

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20 of 20 papers shown

Moon, Seungwhan, Andrea Madotto, Zhaojiang Lin, et al.. (2024). AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. 1314–1332. 14 indexed citations

Heidari, Peyman, Arash Einolghozati, Shashank Jain, et al.. (2021). Getting to Production with Few-shot Natural Language Generation Models. 66–76. 9 indexed citations

Heidari, Peyman, et al.. (2021). Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task. 136–147. 4 indexed citations

Tiwary, Mayank, et al.. (2021). AutoDBaaS: Autonomous Database as a Service for managing relational database services. Movebank. 1 indexed citations

Jain, Shashank, Peyman Heidari, Xintong Li, et al.. (2021). Building Adaptive Acceptability Classifiers for Neural NLG. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 682–697. 6 indexed citations

Jain, Shashank, et al.. (2020). Single Page Reactive Application using Angular Spring MVC and Rest API. International Journal of Engineering and Advanced Technology. 9(5). 478–480.

Khatri, Pinak, et al.. (2018). Preparation and characterization of pyrimethamine solid dispersions and an evaluation of the physical nature of pyrimethamine in solid dispersions. Journal of Drug Delivery Science and Technology. 45. 110–123. 29 indexed citations

Jain, Shashank, et al.. (2018). The Influence of Absolute Mass Loading of Secondary Organic Aerosols on Their Phase State. Atmosphere. 9(4). 131–131. 14 indexed citations

Jain, Shashank, et al.. (2016). Development of milk based malted finger millet (Ragi) porridge: effects of malting of finger millet on compositional attributes.. Haryana Veterinarian. 55(2). 155–159. 2 indexed citations

10.

Patel, Niketkumar, Shashank Jain, & Senshang Lin. (2016). Transdermal iontophoretic delivery of tacrine hydrochloride: Correlation between in vitro permeation and in vivo performance in rats. International Journal of Pharmaceutics. 513(1-2). 393–403. 9 indexed citations

11.

Jain, Shashank, et al.. (2016). Recent Advances in Lipid-Based Vesicles and Particulate Carriers for Topical and Transdermal Application. Journal of Pharmaceutical Sciences. 106(2). 423–445. 213 indexed citations

12.

Jain, Shashank, Niketkumar Patel, Parshotam Madan, & Senshang Lin. (2016). Formulation and rheological evaluation of ethosome-loaded carbopol hydrogel for transdermal application. Drug Development and Industrial Pharmacy. 42(8). 1315–1324. 48 indexed citations

13.

Jain, Shashank & Giuseppe A. Petrucci. (2015). A New Method to Measure Aerosol Particle Bounce Using a Cascade Electrical Low Pressure Impactor. Aerosol Science and Technology. 49(6). 390–399. 24 indexed citations

14.

Jain, Shashank, Niketkumar Patel, Parshotam Madan, & Senshang Lin. (2014). Quality by design approach for formulation, evaluation and statistical optimization of diclofenac-loaded ethosomes via transdermal route. Pharmaceutical Development and Technology. 20(4). 473–489. 82 indexed citations

15.

Jain, Shashank, Niketkumar Patel, & Senshang Lin. (2014). Solubility and dissolution enhancement strategies: current understanding and recent trends. Drug Development and Industrial Pharmacy. 41(6). 875–887. 118 indexed citations

16.

Patel, Niketkumar, Shashank Jain, Parshotam Madan, & Senshang Lin. (2014). Influence of electronic and formulation variables on transdermal iontophoresis of tacrine hydrochloride. Pharmaceutical Development and Technology. 20(4). 442–457. 13 indexed citations

17.

Jain, Shashank, James Zahardis, & Giuseppe A. Petrucci. (2014). Soft Ionization Chemical Analysis of Secondary Organic Aerosol from Green Leaf Volatiles Emitted by Turf Grass. Environmental Science & Technology. 48(9). 4835–4843. 22 indexed citations

18.

Jain, Shashank, et al.. (2011). Spray desorption collection: an alternative to swabbing for pharmaceutical cleaning validation. The Analyst. 136(7). 1298–1298. 23 indexed citations

19.

Venter, André, et al.. (2010). Surface Sampling by Spray-Desorption Followed by Collection for Chemical Analysis. Analytical Chemistry. 82(5). 1674–1679. 22 indexed citations

20.

Jain, Shashank, et al.. (2003). Protransfersomes For Effective Transdermal Delivery Of Norgestrel Preparation And In Vitro Characterization. Indian Journal of Pharmaceutical Sciences. 65(2). 152–160. 19 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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