Sundaram Acharya

498 citations
7 papers · 153 indexed · h-index 4
Topics
CRISPR and Genetic Engineering (3 papers)Advanced biosensing and bioanalysis techniques (2 papers)SARS-CoV-2 and COVID-19 Research (1 paper)
Partner nations
IndiaUnited StatesNepal

In The Last Decade

Sundaram Acharya

6 papers receiving 150 citations

Peers

Sundaram Acharya
Comparison fields: 5 of 37
  • Molecular Biology 130
  • Infectious Diseases 46
  • Biomedical Engineering 20
  • Genetics 20
  • Plant Science 17
Replace Asgar Hussain Ansari with:
Asgar Hussain Ansari India
Nicolas C. Macaluso United States
Santosh R. Rananaware United States
Riya Rauthan India
Kumitaa Theva Das Malaysia
Jennifer L. Curcuru United States
Isabel Strohkendl United States
Yuya Okuzaki Japan
Martina Donadoni United States
Sundaram Acharya relative to Asgar Hussain Ansari India Asgar Hussain Ansari's profile →
Citations per field
00.5×1.5×
Asgar Hussain Ansari · 1×
Citations per year

Countries citing papers authored by Sundaram Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Sundaram Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundaram Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Sundaram Acharya. A scholar is included among the top collaborators of Sundaram Acharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sundaram Acharya. Sundaram Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 59
5 6
6 72
7 12

About Sundaram Acharya

Sundaram Acharya is a scholar working on Management, Monitoring, Policy and Law, Geophysics and Molecular Biology, having authored 7 papers that have together received 153 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Business and International Management (12 citations), Infectious Diseases (46 citations) and Molecular Biology (130 citations). Sundaram Acharya has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Souvik Maiti, Debojyoti Chakraborty, Manoj Kumar, Mohd Azhar, Asgar Hussain Ansari, Saumya Sharma, Rhythm Phutela, Riya Rauthan, Dipanjali Sinha and Namrata Sharma. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife and Natural Hazards.

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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