Sajda Ashraf

1.1k citations
52 papers · 801 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Synthesis and biological activity 17
    • Synthesis and Biological Evaluation 7
    • Synthesis and Characterization of Heterocyclic Compounds 5
    • Click Chemistry and Applications 4

Sajda Ashraf

50 papers receiving 794 citations

Peers

Sajda Ashraf
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 261
  • Organic Chemistry 272
  • Infectious Diseases 172
  • Toxicology 29
  • Pharmacology 51
Replace M. Qaiser Fatmi with:
M. Qaiser Fatmi Pakistan
Ana Carolina Rennó Sodero Brazil
Anthi Petrou Greece
Mallika Alvala India
Nataraj Sekhar Pagadala Canada
Hiroyuki Hirano Japan
Shailima Rampogu South Korea
Adrià Cereto‐Massagué Spain
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Citations per field
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M. Qaiser Fatmi · 1×
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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020278
2 201756
3 202054
4 201746
5 201529
6 202326
7 202024
8 202116
9 202216
10 201914
11 201814
12 202313
13 202012
14 202111
15 202211
16 202310
17 202310
18 201910
19 202110
20 20239

About Sajda Ashraf

Sajda Ashraf is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 801 indexed citations. Recurring topics across this work include Synthesis and biological activity (17 papers), Computational Drug Discovery Methods (9 papers), Synthesis and Biological Evaluation (7 papers), Natural Antidiabetic Agents Studies (6 papers), Synthesis and Characterization of Heterocyclic Compounds (5 papers), Receptor Mechanisms and Signaling (4 papers), Click Chemistry and Applications (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Computational Theory and Mathematics (261 citations), Organic Chemistry (272 citations), Infectious Diseases (172 citations), Toxicology (29 citations) and Pharmacology (51 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, Sarfaraz Ahmed, Mohammad Nur‐e‐Alam and Almas Jabeen. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Molecules, International Journal of Molecular Sciences and Scientific Reports.

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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