Sameena Khan

1.5k citations
46 papers · 1.1k · h-index 20

Impact in

Papers in

    • RNA and protein synthesis mechanisms 9
    • Ubiquitin and proteasome pathways 6
    • Biochemical and Molecular Research 4
    • RNA modifications and cancer 4
    • Cancer Cells and Metastasis 3

Sameena Khan

44 papers receiving 1.1k citations

Peers

Sameena Khan
Comparison fields: 5 of 103
  • Microbiology 62
  • Molecular Medicine 44
  • Molecular Biology 610
  • Parasitology 47
  • Public Health, Environmental and Occupational Health 158
Replace Xiaomin Guo with:
Xiaomin Guo China
Deb N. Chakravarti United States
Kamran Kadkhoda Canada
Tsunehiro Shimizu Japan
Lichieh Julie Chu Taiwan
Hongyan Liu China
Valentyn Oksenych Norway
Joydeep Ghosh United States
Sebastiano Sansano Switzerland
Virendra K. Bajpai India
Sameena Khan relative to Xiaomin Guo China Xiaomin Guo's profile →
Citations per field
00.5×1.5×2.3×
Xiaomin Guo · 1×
Citations per year

Countries citing papers authored by Sameena Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sameena Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 200776
3 201174
4 201871
5 200962
6 201460
7 201155
8 201352
9 201244
10 201141
11 200740
12 201540
13 201139
14 201830
15 201829
16 201826
17 201323
18 201622
19 202121
20 201320

About Sameena Khan

Sameena Khan is a scholar working on Molecular Biology, Oncology, Health, Toxicology and Mutagenesis, Cell Biology and Genetics, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Ubiquitin and proteasome pathways (6 papers), Environmental Toxicology and Ecotoxicology (5 papers), Biochemical and Molecular Research (4 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), Aquaculture Nutrition and Growth (2 papers) and Pesticide and Herbicide Environmental Studies (2 papers). The work is most often cited by research in Microbiology (62 citations), Molecular Medicine (44 citations), Molecular Biology (610 citations), Parasitology (47 citations) and Public Health, Environmental and Occupational Health (158 citations). Sameena Khan has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Amit Sharma, Ishita Gupta, Kanika Singh, Frank Beier, Arvind Sharma, M. Yogavel, Stephen Lockett, Prabhakar R. Gudla, Lluı́s Ribas de Pouplana and Karen J. Meaburn. Their work appears in journals such as Cochrane Database of Systematic Reviews, Scientific Reports, Molecular Nutrition & Food Research, Molecular and Biochemical Parasitology and Toxicology 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.

Explore authors with similar magnitude of impact