Md Jasim Uddin

1.2k total citations · 1 hit paper
13 papers, 860 citations indexed

About

Md Jasim Uddin is a scholar working on Pharmaceutical Science, Immunology and Infectious Diseases. According to data from OpenAlex, Md Jasim Uddin has authored 13 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmaceutical Science, 4 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Md Jasim Uddin's work include Advancements in Transdermal Drug Delivery (7 papers), Dermatology and Skin Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Md Jasim Uddin is often cited by papers focused on Advancements in Transdermal Drug Delivery (7 papers), Dermatology and Skin Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Md Jasim Uddin collaborates with scholars based in United Kingdom, Bangladesh and Malaysia. Md Jasim Uddin's co-authors include Dennis Douroumis, Sophia N. Economidou, Nicolaos Scoutaris, Babur Z. Chowdhry, Andrew Reid, James F. C. Windmill, Dimitrios A. Lamprou, Mark R. Prausnitz, Ryan F. Donnelly and Pavlos Klepetsanis and has published in prestigious journals such as International Journal of Pharmaceutics, Sensors and Materials Science and Engineering C.

In The Last Decade

Md Jasim Uddin

13 papers receiving 840 citations

Hit Papers

Advances in artificial intelligence for drug delivery and... 2024 2026 2025 2024 20 40 60

Peers

Md Jasim Uddin
Sophia N. Economidou United Kingdom
Nicolaos Scoutaris United Kingdom
Usanee Detamornrat United Kingdom
Manita Dangol South Korea
Melissa Kirkby United Kingdom
Sophia N. Economidou United Kingdom
Md Jasim Uddin
Citations per year, relative to Md Jasim Uddin Md Jasim Uddin (= 1×) peers Sophia N. Economidou

Countries citing papers authored by Md Jasim Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md Jasim Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Jasim Uddin. 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 Md Jasim Uddin. The network helps show where Md Jasim Uddin may publish in the future.

Co-authorship network of co-authors of Md Jasim Uddin

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

All Works

13 of 13 papers shown
1.
Gholap, Amol D., et al.. (2024). Advances in artificial intelligence for drug delivery and development: A comprehensive review. Computers in Biology and Medicine. 178. 108702–108702. 72 indexed citations breakdown →
3.
Gholap, Amol D., Sagar R. Pardeshi, Md Jasim Uddin, et al.. (2024). Achieving Optimal Health With Host‐Directed Therapies (HDTs) in Infectious Diseases—A New Horizon. Advanced Therapeutics. 8(4). 9 indexed citations
4.
Uddin, Md Jasim, et al.. (2024). Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction. Sensors. 24(7). 2357–2357. 6 indexed citations
5.
Uddin, Md Jasim, Amol D. Gholap, Yahya E. Choonara, et al.. (2024). The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment. Journal of Biomedical Nanotechnology. 20(12). 1759–1790. 1 indexed citations
6.
Ahmed, Tanvir, et al.. (2022). Potential of Microneedle Systems for COVID-19 Vaccination: Current Trends and Challenges. Pharmaceutics. 14(5). 1066–1066. 22 indexed citations
7.
Pattanayek, Sudip K., et al.. (2021). Translation of Polymeric Microneedles for Treatment of Human Diseases: Recent Trends, Progress, and Challenges. Pharmaceutics. 13(8). 1132–1132. 54 indexed citations
8.
Economidou, Sophia N., Md Jasim Uddin, Dennis Douroumis, et al.. (2020). A novel 3D printed hollow microneedle microelectromechanical system for controlled, personalized transdermal drug delivery. Additive manufacturing. 38. 101815–101815. 121 indexed citations
9.
Economidou, Sophia N., Andrew Reid, Md Jasim Uddin, et al.. (2019). 3D printed microneedle patches using stereolithography (SLA) for intradermal insulin delivery. Materials Science and Engineering C. 102. 743–755. 222 indexed citations
10.
Uddin, Md Jasim, Nicolaos Scoutaris, Sophia N. Economidou, et al.. (2019). 3D printed microneedles for anticancer therapy of skin tumours. Materials Science and Engineering C. 107. 110248–110248. 185 indexed citations
11.
Uddin, Md Jasim. (2018). Inkjet printing of doxycycline loaded transdermal film for wound infection. MedCrave (MedCrave Group). 5(1). 1 indexed citations
12.
Uddin, Md Jasim, et al.. (2018). Future drug delivery technologies: benchtop to industry. 14(1). 9–20. 2 indexed citations
13.
Uddin, Md Jasim, Nicolaos Scoutaris, Pavlos Klepetsanis, et al.. (2015). Inkjet printing of transdermal microneedles for the delivery of anticancer agents. International Journal of Pharmaceutics. 494(2). 593–602. 158 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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