Khan Asifullah

500 citations
7 papers · 438 indexed · h-index 6

Impact in

    • Nanoparticle-Based Drug Delivery
    • Supramolecular Self-Assembly in Materials
    • Hydrogels: synthesis, properties, applications

Papers in

Khan Asifullah

7 papers receiving 436 citations

Peers

Khan Asifullah
Comparison fields: 5 of 80
  • Biomaterials 191
  • Molecular Medicine 45
  • Complementary and alternative medicine 63
  • Pharmaceutical Science 26
  • Pharmacology 34
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Fushan Tang China
Akram Firouzi‐Amandi Iran
Xiaoya Hou China
Gülen Melike Demirbolat Türkiye
Ganesh Vambhurkar India
Zhichun Shen China
Towseef Amin Rafeeqi India
Mitra Korani Iran
Krushna Chandra Hembram India
Khan Asifullah relative to Fushan Tang China Fushan Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Khan Asifullah

Since Specialization
Citations

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

Fields of papers citing papers by Khan Asifullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khan Asifullah, 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 Khan Asifullah Line = papers co-authored together Khan Asifullah links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201962
2 2019163
3 20199
4 201948
5 201971
6 201884
7
ニューラルネットワークの遺伝的プログラミングに基づくアンサンブルを用いた短期風力発電の知的とロバスト予測【Powered by NICT】
20171

About Khan Asifullah

Khan Asifullah is a scholar working on Biomaterials, Complementary and alternative medicine, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 7 papers that have together received 438 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (2 papers), Cell death mechanisms and regulation (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Autophagy in Disease and Therapy (1 paper), Natural Compounds in Disease Treatment (1 paper), Phagocytosis and Immune Regulation (1 paper), Mitochondrial Function and Pathology (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Biomaterials (191 citations), Molecular Medicine (45 citations), Complementary and alternative medicine (63 citations), Pharmaceutical Science (26 citations) and Pharmacology (34 citations). Khan Asifullah has collaborated with scholars based in China and Pakistan. Frequent co-authors include Faisal Raza, Muhammad Hasnat, Xinru You, Liang Ge, Hajra Zafar, Muhammad Waseem Khan, Li Chen, Jiayuan Zhang, Ying Zhu and Jun Wu. Their work appears in journals such as International Journal of Nanomedicine, Molecular Pharmaceutics, Journal of Materials Chemistry B, Cell Biology and Toxicology and Biomaterials Science.

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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