Sajid Asghar

3.3k citations
102 papers · 2.6k indexed · h-index 31

Sajid Asghar

98 papers receiving 2.5k citations

Peers

Sajid Asghar
Comparison fields: 5 of 125
  • Pharmaceutical Science 691
  • Molecular Medicine 395
  • Biomaterials 901
  • Rehabilitation 142
  • Complementary and alternative medicine 165
Replace Ling Zhao with:
Ling Zhao China
Maha Nasr Egypt
Daquan Chen China
Umme Hani Saudi Arabia
Huixia Lv China
Zeenat Iqbal India
Roberta Cassano Italy
Jitender Madan India
Bizhan Malaekeh‐Nikouei Iran
Yosra S.R. Elnaggar Egypt
Sajid Asghar relative to Ling Zhao China Ling Zhao's profile →
Citations per field
00.5×1.5×1.8×
Ling Zhao · 1×
Citations per year

Countries citing papers authored by Sajid Asghar

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Asghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20251
5 20241
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7 20246
8 202414
9 20234
10 202383
11 202317
12 202212
13 202218
14 202219
15 202210
16 202130
17
Development and validation of a stability-Indicating RP-HPLC method for simultaneous estimation of sofosbuvir and velpatasvir in fixed dose combination tablets and plasma.
20197
18 201750
19 201730
20 2015141

About Sajid Asghar

Sajid Asghar is a scholar working on Pharmaceutical Science, Molecular Medicine and Biomaterials, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (38 papers), Drug Solubulity and Delivery Systems (29 papers), Nanoparticle-Based Drug Delivery (27 papers), Advancements in Transdermal Drug Delivery (18 papers), Hydrogels: synthesis, properties, applications (14 papers), Nanoplatforms for cancer theranostics (9 papers), Curcumin's Biomedical Applications (9 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Pharmaceutical Science (691 citations), Molecular Medicine (395 citations) and Biomaterials (901 citations). Sajid Asghar has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Yanyu Xiao, Qineng Ping, Ikram Ullah Khan, Syed Haroon Khalid, Zhipeng Chen, Yurui Xu, Huixia Lv, Shiya Gao, Feng Shao and Jianping Zhou. Their work appears in journals such as International Journal of Biological Macromolecules, Colloids and Surfaces B Biointerfaces, Journal of Drug Delivery Science and Technology, International Journal of Pharmaceutics and Pharmaceutics.

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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