Hirosha Geekiyanage

15 total papers · 994 total citations
10 papers, 804 citations indexed

About

Hirosha Geekiyanage is a scholar working on Physiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Hirosha Geekiyanage has authored 10 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Hirosha Geekiyanage's work include Alzheimer's disease research and treatments (5 papers), MicroRNA in disease regulation (3 papers) and Virology and Viral Diseases (3 papers). Hirosha Geekiyanage is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), MicroRNA in disease regulation (3 papers) and Virology and Viral Diseases (3 papers). Hirosha Geekiyanage collaborates with scholars based in United States. Hirosha Geekiyanage's co-authors include Christina Chan, Peter T. Nelson, Gregory A. Jicha, Evanthia Galanis, Shima Rayatpisheh, Victor Ambros, James A. Wohlschlegel, Robert H. Brown, Aditi Upadhye and Cheyne Kurokawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Experimental Neurology.

In The Last Decade

Hirosha Geekiyanage

10 papers receiving 790 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hirosha Geekiyanage 517 411 176 103 89 10 804
Leila R. Aminova 447 0.9× 403 1.0× 113 0.6× 116 1.1× 28 0.3× 13 790
Roger Moser 597 1.2× 385 0.9× 100 0.6× 46 0.4× 59 0.7× 7 967
Gabriela Estepa 481 0.9× 235 0.6× 204 1.2× 88 0.9× 83 0.9× 8 938
Helen E. Scott 568 1.1× 202 0.5× 123 0.7× 80 0.8× 128 1.4× 20 913
Laura Magri 741 1.4× 179 0.4× 168 1.0× 133 1.3× 145 1.6× 12 1.0k
Johnathan C. Lai 705 1.4× 191 0.5× 91 0.5× 55 0.5× 74 0.8× 17 927
Marit Pedersen Delghandi 607 1.2× 122 0.3× 105 0.6× 96 0.9× 158 1.8× 9 1.0k
Nathalie Saurat 685 1.3× 254 0.6× 150 0.9× 49 0.5× 85 1.0× 10 939
Moonkyoung Um 415 0.8× 195 0.5× 125 0.7× 57 0.6× 161 1.8× 9 846
Sripriya Ranganathan 456 0.9× 205 0.5× 313 1.8× 51 0.5× 165 1.9× 13 945

Countries citing papers authored by Hirosha Geekiyanage

Since Specialization
Citations

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

Fields of papers citing papers by Hirosha Geekiyanage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirosha Geekiyanage

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

All Works

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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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