Srikanth Perike

15 papers receiving 399 citations

Peers

Srikanth Perike
Comparison fields: 5 of 77
  • Agronomy and Crop Science 90
  • Cellular and Molecular Neuroscience 90
  • Immunology 103
  • Ecology, Evolution, Behavior and Systematics 70
  • Cardiology and Cardiovascular Medicine 66
Replace María Licursi with:
María Licursi Canada
Almudena Pacheco United States
Tim Redmond United States
Xuan He China
Ryozo Moriuchi Japan
Eiji Matsuoka Japan
Misako Hwang United States
Yuichi Tashiro Japan
Candice Brinkmeyer‐Langford United States
Georg Dreissen Germany
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Citations per year

Countries citing papers authored by Srikanth Perike

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth Perike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201572
2 200971
3 202070
4 201158
5 201535
6 201932
7 201118
8 201415
9 201614
10 200910
11 20106
12 20184
13 20111
14 20101
15 20211

About Srikanth Perike

Srikanth Perike is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Planarian Biology and Electrostimulation (6 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Plant and Biological Electrophysiology Studies (3 papers), Animal Disease Management and Epidemiology (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (90 citations), Cellular and Molecular Neuroscience (90 citations), Immunology (103 citations), Ecology, Evolution, Behavior and Systematics (70 citations) and Cardiology and Cardiovascular Medicine (66 citations). Srikanth Perike has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Richard H. W. Funk, Nurdan Özkucur, Priyanka Sharma, Thomas K. Monsees, Mark McCauley, Alix de Brogniez, Luc Willems, Malik Hamaïdia, Hélène Gazon and Alexandre Carpentier. Their work appears in journals such as Viruses, Circulation Arrhythmia and Electrophysiology, physica status solidi (a), The International Journal of Biochemistry & Cell Biology and Experimental Cell Research.

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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