Amber Khan

32 papers receiving 1.3k citations

Peers

Amber Khan
Comparison fields: 5 of 118
  • Food Science 606
  • Complementary and alternative medicine 203
  • Infectious Diseases 326
  • Pharmacology 118
  • Drug Discovery 2
Replace Keyvan Pakshir with:
Keyvan Pakshir Iran
Antonio Rosato Italy
Jayant S. Raut India
Christine Bii Kenya
Doblin Sandai Malaysia
Ramiro Mendonça Murata United States
Barbara Różalska Poland
Alexandre Meneghello Fuentefría Brazil
Sofia Costa‐de‐Oliveira Portugal
Kelly Ishida Brazil
Amber Khan relative to Keyvan Pakshir Iran Keyvan Pakshir's profile →
Citations per field
00.5×1.5×1.8×
Keyvan Pakshir · 1×
Citations per year

Countries citing papers authored by Amber Khan

Since Specialization
Citations

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

Fields of papers citing papers by Amber Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010189
2 2009152
3 2010108
4 2012107
5 2012103
6 201099
7 201093
8 201088
9 201572
10 201154
11 201545
12 201439
13 201026
14 201525
15 201524
16 201420
17 201018
18 201816
19 201316
20 201513

About Amber Khan

Amber Khan is a scholar working on Food Science, Infectious Diseases, Plant Science, Complementary and alternative medicine and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (13 papers), Antifungal resistance and susceptibility (11 papers), Phytochemistry and Biological Activities (4 papers), Phytochemicals and Medicinal Plants (4 papers), Fungal Infections and Studies (3 papers), Fungal Plant Pathogen Control (3 papers), Piperaceae Chemical and Biological Studies (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Food Science (606 citations), Complementary and alternative medicine (203 citations), Infectious Diseases (326 citations), Pharmacology (118 citations) and Drug Discovery (2 citations). Amber Khan has collaborated with scholars based in India, South Africa and United States. Frequent co-authors include Aijaz Ahmad, Nikhat Manzoor, Luqman Ahmad Khan, Feroz Akhtar, Immaculata Xess, Mohmmad Younus Wani, Ashanul Haque, Kishwar Saleem, Imran Ali and Waseem A. Wani. Their work appears in journals such as Microbial Pathogenesis, Clinical Immunology, Research in Microbiology, Canadian Journal of Microbiology and Medicinal Chemistry Research.

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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