Thamara Hewavitharana

2.1k citations
12 papers · 1.8k indexed · h-index 12

Thamara Hewavitharana

12 papers receiving 1.7k citations

Peers

Thamara Hewavitharana
Comparison fields: 5 of 81
  • Sensory Systems 1.2k
  • Biochemistry 297
  • Cellular and Molecular Neuroscience 555
  • Physiology 105
  • Molecular Biology 873
Replace Maria A. Spassova with:
Maria A. Spassova United States
Petra Eder Austria
Christof Zitt Germany
Yanhong Liao China
Iskandar F. Abdullaev United States
Claudia Trost Germany
Anthony P. Albert United Kingdom
Loïc Lemonnier France
Wayne I. DeHaven United States
Rosemary E. Kelsell United Kingdom
Thamara Hewavitharana relative to Maria A. Spassova United States Maria A. Spassova's profile →
Citations per field
00.5×1.5×
Maria A. Spassova · 1×
Citations per year

Countries citing papers authored by Thamara Hewavitharana

Since Specialization
Citations

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

Fields of papers citing papers by Thamara Hewavitharana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Thamara Hewavitharana, 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 Thamara Hewavitharana Line = papers co-authored together Thamara Hewavitharana links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201514
2 201181
3 200893
4 200841
5 200738
6 2007149
7 200716
8 2006207
9 2006463
10 2006387
11 2005183
12 200487

About Thamara Hewavitharana

Thamara Hewavitharana is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion Channels and Receptors (10 papers), Ion channel regulation and function (7 papers), Neurobiology and Insect Physiology Research (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Respiratory and Cough-Related Research (2 papers), Ion Transport and Channel Regulation (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Sensory Systems (1.2k citations), Biochemistry (297 citations) and Cellular and Molecular Neuroscience (555 citations). Thamara Hewavitharana has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Donald L. Gill, Jonathan Soboloff, Maria A. Spassova, Wen Xu, Xiang D. Tang, Xiaoxiang Deng, Philip Wedegaertner, Marie Dziadek, Youjun Wang and Kartik Venkatachalam. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Current 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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