Abdul Samad
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Computational Drug Discovery Methods 22
- Co-authors
- Mohammad Shahar Yar (3 shared papers)Padma V. Devarajan (10 shared papers)Rajiv V. Gaikwad (8 shared papers)Md. Afroz Bakht (3 shared papers)Muhammad Jawad Hashim (1 shared paper)Émmanuel Stip (1 shared paper)Syed Fahad Javaid (1 shared paper)Jainendra Jain (5 shared papers)
- Journals
- Indian Journal of Pharmaceutical Sciences (6 papers)Molecules (4 papers)Journal of Biomedical Nanotechnology (3 papers)Journal of Biomolecular Structure and Dynamics (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- IndiaSaudi ArabiaIraq
In The Last Decade
Abdul Samad
83 papers receiving 1.4k citations
Abdul Samad's Hit Papers
Peers
Comparison fields: 5 of 138
- Sensory Systems 96
- Pharmaceutical Science 113
- Organic Chemistry 393
- Biomaterials 150
- Molecular Medicine 50
Countries citing papers authored by Abdul Samad
This map shows the geographic impact of Abdul Samad'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 Abdul Samad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Samad more than expected).
Fields of papers citing papers by Abdul Samad
This network shows the impact of papers produced by Abdul Samad. 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 Abdul Samad. The network helps show where Abdul Samad may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdul Samad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology of anxiety disorders: global burden and sociodemographic associations Hit paper breakdown → | 2023 | 171 |
| 2 | 2010 | 161 | |
| 3 | 2010 | 121 | |
| 4 | 2010 | 76 | |
| 5 | 2010 | 62 | |
| 6 | 2021 | 43 | |
| 7 | 2011 | 40 | |
| 8 | 2010 | 38 | |
| 9 | 2012 | 34 | |
| 10 | 2017 | 30 | |
| 11 | 2012 | 30 | |
| 12 | 1984 | 29 | |
| 13 | 2009 | 29 | |
| 14 | 2022 | 27 | |
| 15 | 2013 | 27 | |
| 16 | 2014 | 24 | |
| 17 | 2009 | 23 | |
| 18 | 2011 | 22 | |
| 19 | 2022 | 21 | |
| 20 | 2010 | 18 |
About Abdul Samad
Abdul Samad is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine and Pharmaceutical Science, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Synthesis and biological activity (13 papers), Advanced Drug Delivery Systems (8 papers), Drug Solubulity and Delivery Systems (7 papers), Complex Network Analysis Techniques (5 papers), Inhalation and Respiratory Drug Delivery (5 papers), Nanoparticle-Based Drug Delivery (5 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Sensory Systems (96 citations), Pharmaceutical Science (113 citations), Organic Chemistry (393 citations), Biomaterials (150 citations) and Molecular Medicine (50 citations). Abdul Samad has collaborated with scholars based in India, Saudi Arabia and Iraq. Frequent co-authors include Mohammad Shahar Yar, Padma V. Devarajan, Rajiv V. Gaikwad, Md. Afroz Bakht, Muhammad Jawad Hashim, Émmanuel Stip, Syed Fahad Javaid, Jainendra Jain, Magdi E. A. Zaki and Rüdiger Ettrich. Their work appears in journals such as Indian Journal of Pharmaceutical Sciences, Molecules, Journal of Biomedical Nanotechnology, Journal of Biomolecular Structure and Dynamics and International Journal of Molecular Sciences.
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.