Samander Kaushik

2.9k citations
55 papers · 1.3k · h-index 18

Impact in

Papers in

Samander Kaushik

50 papers receiving 1.2k citations

Peers

Samander Kaushik
Comparison fields: 5 of 107
  • Complementary and alternative medicine 208
  • Infectious Diseases 335
  • Pharmacology 110
  • Drug Discovery 2
  • Modeling and Simulation 46
Replace Johnson Adekunle Adeniji with:
Johnson Adekunle Adeniji Nigeria
Manju Bala India
Sulochana Kaushik India
Jules Clément Nguedia Assob Cameroon
Maria Inge Lusida Indonesia
Su‐Jin Park South Korea
Mokhtar R. Gomaa Egypt
Sadras Panchatcharam Thyagarajan India
Karla Valéria Batista Lima Brazil
Binod Rayamajhee Australia
Samander Kaushik relative to Johnson Adekunle Adeniji Nigeria Johnson Adekunle Adeniji's profile →
Citations per field
00.5×3.6×
Johnson Adekunle Adeniji · 1×
Citations per year

Countries citing papers authored by Samander Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Samander Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018208
2 2009118
3 2020101
4 202094
5 201982
6 201266
7 202063
8 202060
9 201839
10 201734
11 201534
12 202131
13 202128
14 202027
15 202126
16 201122
17 201020
18 202019
19 202215
20 202315

About Samander Kaushik

Samander Kaushik is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Plant Science and Complementary and alternative medicine, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Influenza Virus Research Studies (8 papers), Insect Pest Control Strategies (5 papers), Biosensors and Analytical Detection (5 papers), Respiratory viral infections research (5 papers), Hepatitis B Virus Studies (4 papers), Diverse Scientific Research Studies (4 papers) and Essential Oils and Antimicrobial Activity (4 papers). The work is most often cited by research in Complementary and alternative medicine (208 citations), Infectious Diseases (335 citations), Pharmacology (110 citations), Drug Discovery (2 citations) and Modeling and Simulation (46 citations). Samander Kaushik has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Sulochana Kaushik, Jaya Parkash Yadav, Vikrant Sharma, Divya Dhull, Lalit Dar, Ramesh Kumar, Yashika Sharma, Shobha Broor, Suman Nagpal and Harendra Singh Chahar. Their work appears in journals such as Influenza and Other Respiratory Viruses, PLoS ONE, Applied Microbiology and Biotechnology, Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review and Future Microbiology.

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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