Dineika Chandrananda

39 total papers · 2.5k total citations
16 papers, 647 citations indexed

About

Dineika Chandrananda is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dineika Chandrananda has authored 16 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dineika Chandrananda's work include Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (5 papers) and Genetic factors in colorectal cancer (4 papers). Dineika Chandrananda is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (5 papers) and Genetic factors in colorectal cancer (4 papers). Dineika Chandrananda collaborates with scholars based in United Kingdom, Australia and Netherlands. Dineika Chandrananda's co-authors include Nitzan Rosenfeld, Christopher G. Smith, Florent Moulière, Melanie Bahlo, Natalie Thorne, Francesco Marass, James Morris, Dana W.Y. Tsui, Kevin M. Brindle and Colin Watts and has published in prestigious journals such as The Lancet, Nature Communications and Bioinformatics.

In The Last Decade

Dineika Chandrananda

15 papers receiving 639 citations

Author Peers

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

Author Last Decade Papers Cites
Dineika Chandrananda 520 321 201 196 87 16 647
Olga Bogatyrova 279 0.5× 585 1.8× 146 0.7× 130 0.7× 78 0.9× 16 782
Hendrik F. van Essen 273 0.5× 323 1.0× 107 0.5× 276 1.4× 92 1.1× 22 767
Meng-Hong Sun 247 0.5× 517 1.6× 108 0.5× 248 1.3× 94 1.1× 20 785
T Yoshikubo 174 0.3× 168 0.5× 156 0.8× 453 2.3× 65 0.7× 16 765
Musaffe Tuna 216 0.4× 414 1.3× 115 0.6× 127 0.6× 45 0.5× 22 670
Georg Schwarzkopf 120 0.2× 248 0.8× 155 0.8× 167 0.9× 84 1.0× 16 609
Sverre Heim 175 0.3× 278 0.9× 217 1.1× 94 0.5× 47 0.5× 16 706
Mariette Renaux‐Petel 167 0.3× 255 0.8× 85 0.4× 307 1.6× 44 0.5× 12 576
Niki Agnanti 162 0.3× 266 0.8× 229 1.1× 172 0.9× 134 1.5× 18 649
Stacy Mosier 256 0.5× 273 0.9× 355 1.8× 195 1.0× 46 0.5× 9 740

Countries citing papers authored by Dineika Chandrananda

Since Specialization
Citations

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

Fields of papers citing papers by Dineika Chandrananda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dineika Chandrananda

This figure shows the co-authorship network connecting the top 25 collaborators of Dineika Chandrananda. A scholar is included among the top collaborators of Dineika Chandrananda 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 Dineika Chandrananda. Dineika Chandrananda 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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