Sathishkumar Ramaswamy

1.6k citations
14 papers · 151 indexed · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)Genomics and Rare Diseases (4 papers)interferon and immune responses (3 papers)

In The Last Decade

Sathishkumar Ramaswamy

12 papers receiving 148 citations

Peers

Sathishkumar Ramaswamy
Comparison fields: 5 of 48
  • Infectious Diseases 95
  • Molecular Biology 36
  • Genetics 24
  • Neurology 19
  • Immunology 19
Replace Antonio Íñigo-Campos with:
Antonio Íñigo-Campos Spain
Nell Saunders France
Karthik Bharadwaj Tallapaka India
Matthew Greenig United Kingdom
Michelle Verghese United States
Helena Winstone United Kingdom
Flora Donati France
Priscilla Turelli Switzerland
Yaochang Yuan China
Animesh Singh India
Sathishkumar Ramaswamy relative to Antonio Íñigo-Campos Spain Antonio Íñigo-Campos's profile →
Citations per field
00.5×3.2×
Antonio Íñigo-Campos · 1×
Citations per year

Countries citing papers authored by Sathishkumar Ramaswamy

Since Specialization
Citations

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

Fields of papers citing papers by Sathishkumar Ramaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sathishkumar Ramaswamy

This figure shows the co-authorship network connecting the top 25 collaborators of Sathishkumar Ramaswamy. A scholar is included among the top collaborators of Sathishkumar Ramaswamy 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 Sathishkumar Ramaswamy. Sathishkumar Ramaswamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 6
3 4
4 0
5 1
6 8
7 3
8 5
9 8
10 23
11 24
12 55
13 13
14 1

About Sathishkumar Ramaswamy

Sathishkumar Ramaswamy is a scholar working on Infectious Diseases, Modeling and Simulation and Sensory Systems, having authored 14 papers that have together received 151 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Genomics and Rare Diseases (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Infectious Diseases (95 citations), Modeling and Simulation (14 citations) and Sensory Systems (7 citations). Sathishkumar Ramaswamy has collaborated with scholars based in United Arab Emirates, Austria and India. Frequent co-authors include Ahmad Abou Tayoun, Tom Loney, Alawi Alsheikh‐Ali, Norbert Nowotny, Hamda Khansaheb, Hanan Al Suwaidi, Mohammed Uddin, Abdulmajeed Alkhajeh, Ruchi Jain and Laila AlDabal. Their work appears in journals such as Nature Communications, Scientific Reports and Clinical Chemistry.

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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