Sajda Ashraf

1.2k citations
53 papers · 872 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Synthesis and biological activity 15
    • Synthesis and Biological Evaluation 6
    • Carbohydrate Chemistry and Synthesis 4
    • Synthesis and Characterization of Heterocyclic Compounds 4

Sajda Ashraf

52 papers receiving 865 citations

Peers

Sajda Ashraf
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 260
  • Organic Chemistry 284
  • Infectious Diseases 167
  • Toxicology 28
  • Pharmacology 49
Replace Vaishali M. Patil with:
Vaishali M. Patil India
Panupong Mahalapbutr Thailand
Philip Prathipati India
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Muhammad Khattab Egypt
Ana Carolina Rennó Sodero Brazil
Shama Khan South Africa
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Citations per field
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Citations per year

Countries citing papers authored by Sajda Ashraf

Since Specialization
Citations

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

Fields of papers citing papers by Sajda Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020286
2 202057
3 201757
4 201753
5 202337
6 201531
7 202026
8 202118
9 202216
10 202316
11 201915
12 202314
13 201814
14 202013
15 202112
16 201611
17 202411
18 202311
19 202211
20 202110

About Sajda Ashraf

Sajda Ashraf is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Oncology, having authored 53 papers that have together received 872 indexed citations. Recurring topics across this work include Synthesis and biological activity (15 papers), Computational Drug Discovery Methods (8 papers), Natural Antidiabetic Agents Studies (7 papers), Synthesis and Biological Evaluation (6 papers), Receptor Mechanisms and Signaling (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers) and Microbial Applications in Construction Materials (4 papers). The work is most often cited by research in Computational Theory and Mathematics (260 citations), Organic Chemistry (284 citations), Infectious Diseases (167 citations), Toxicology (28 citations) and Pharmacology (49 citations). Sajda Ashraf has collaborated with scholars based in Pakistan, Saudi Arabia and Türkiye. Frequent co-authors include Zaheer Ul‐Haq, Komal Zia, Salman Ali Khan, Reaz Uddin, Assem Barakat, Abdullah Mohammed Al‐Majid, M. Iqbal Choudhary, Mohammad Nur‐e‐Alam, Sarfaraz Ahmed and Almas Jabeen. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecules, International Journal of Biological Macromolecules, International Journal of Molecular Sciences and Bioorganic Chemistry.

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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