Sara Khan

868 citations
45 papers · 623 · h-index 16

Impact in

    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Sara Khan

43 papers receiving 610 citations

Peers

Sara Khan
Comparison fields: 5 of 106
  • Toxicology 14
  • Pollution 44
  • Pharmaceutical Science 21
  • Biochemistry 19
  • Pharmacology 25
Replace Gamal A. Gabr with:
Gamal A. Gabr Saudi Arabia
Monika Dąbrowska Poland
Marcela Cristina de Moraes Brazil
Anwar Abdelnaser Egypt
Sanaz Faramarz Iran
Preetismita Borah India
Ahmad Firoz Saudi Arabia
Abdulrahman M. Alahdal Saudi Arabia
Rohit Bhatia India
Sabina Yasmin India
Sara Khan relative to Gamal A. Gabr Saudi Arabia Gamal A. Gabr's profile →
Citations per field
00.5×10×20×30×40×46×
Gamal A. Gabr · 1×
Citations per year

Countries citing papers authored by Sara Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sara Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 201542
3 201740
4 201638
5 201737
6 201834
7 201630
8 201728
9 202026
10 202322
11 201822
12 202219
13 202018
14 202117
15 201717
16 201716
17 202215
18 202414
19 202214
20 202012

About Sara Khan

Sara Khan is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Plant Science and Computational Theory and Mathematics, having authored 45 papers that have together received 623 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Synthesis and biological activity (4 papers), Natural Antidiabetic Agents Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Enzyme function and inhibition (3 papers), Essential Oils and Antimicrobial Activity (3 papers) and Phytochemistry and Bioactivity Studies (2 papers). The work is most often cited by research in Toxicology (14 citations), Pollution (44 citations), Pharmaceutical Science (21 citations), Biochemistry (19 citations) and Pharmacology (25 citations). Sara Khan has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Umar Farooq, Ghulam Jilany Khan, Rizwana Sarwar, Maria G. Kurnikova, Li Sun, Shengtao Yuan, Sadia Naz, Mirza Muhammad Faran Ashraf Baig, Akhtar Nadhman and Sulaiman Faisal. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Biomedicine & Pharmacotherapy, PLoS ONE, Molecules and Journal of Photochemistry and Photobiology B Biology.

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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