Imran Shair Mohammad

1.5k citations
37 papers · 1.2k · h-index 19

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Nanoparticle-Based Drug Delivery

Papers in

Imran Shair Mohammad

35 papers receiving 1.2k citations

Peers

Imran Shair Mohammad
Comparison fields: 5 of 104
  • Pharmaceutical Science 230
  • Biomaterials 223
  • Molecular Medicine 35
  • Molecular Biology 454
  • Oncology 160
Replace Eman Alaaeldin with:
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Mohamed A. Alfaleh Saudi Arabia
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Imran Shair Mohammad relative to Eman Alaaeldin Egypt Eman Alaaeldin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Imran Shair Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Imran Shair Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imran Shair Mohammad. 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 Imran Shair Mohammad. The network helps show where Imran Shair Mohammad may publish in the future.

Co-authors

The 25 scholars most cited alongside Imran Shair Mohammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Imran Shair Mohammad Line = papers co-authored together Imran Shair Mohammad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 2019143
3 2021107
4 201888
5 201786
6 202186
7 201858
8 201854
9 201851
10 201834
11 201733
12 202328
13 202126
14 201825
15 202222
16 202021
17 201721
18 202020
19 201819
20 202117

About Imran Shair Mohammad

Imran Shair Mohammad is a scholar working on Molecular Biology, Pharmaceutical Science, Oncology, Biomaterials and Food Science, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced Drug Delivery Systems (5 papers), Salivary Gland Disorders and Functions (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Bee Products Chemical Analysis (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Hibiscus Plant Research Studies (2 papers). The work is most often cited by research in Pharmaceutical Science (230 citations), Biomaterials (223 citations), Molecular Medicine (35 citations), Molecular Biology (454 citations) and Oncology (160 citations). Imran Shair Mohammad has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Wei He, Lifang Yin, Haiyan Hu, Hafiz Muhammad Ishaq, Jiru Xu, Muhammad Shahzad, Peijie Shi, Chaofeng Ma, Hui Guo and Xiaokang Wu. Their work appears in journals such as Biomedicine & Pharmacotherapy, International Journal of Pharmaceutics, Nanoscale, Acta Pharmaceutica Sinica B and Chemistry & Biodiversity.

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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