Sameena Khan

42 papers receiving 993 citations

Peers

Sameena Khan
Comparison fields: 5 of 101
  • Microbiology 66
  • Molecular Biology 619
  • Molecular Medicine 40
  • Parasitology 51
  • Public Health, Environmental and Occupational Health 153
Replace Claudia Wahl with:
Claudia Wahl Germany
Tsunehiro Shimizu Japan
Kamran Kadkhoda Canada
Joydeep Ghosh United States
Deb N. Chakravarti United States
Xiaomin Guo China
Lichieh Julie Chu Taiwan
José Bernad France
Fabio R. Santori United States
Sebastiano Sansano Switzerland
Sameena Khan relative to Claudia Wahl Germany Claudia Wahl's profile →
Citations per field
00.5×3.7×
Claudia Wahl · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 200773
3 201171
4 201870
5 200960
6 201457
7 201155
8 201350
9 201241
10 201539
11 201138
12 201138
13 200738
14 201827
15 201827
16 201826
17 201622
18 201321
19 202120
20 201320

About Sameena Khan

Sameena Khan is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Cell Biology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 43 papers that have together received 1.0k 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 (4 papers), Biochemical and Molecular Research (4 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), Pesticide Exposure and Toxicity (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (66 citations), Molecular Biology (619 citations), Molecular Medicine (40 citations), Parasitology (51 citations) and Public Health, Environmental and Occupational Health (153 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, Chantal M.A.M. van der Horst, Stephen Lockett, Vinay Sharma and Prabhakar R. Gudla. Their work appears in journals such as Scientific Reports, Cochrane Database of Systematic Reviews, Molecular Nutrition & Food Research, Clinical Neurophysiology and Frontiers in Cell and Developmental 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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