Wikum Dinalankara

426 citations
12 papers · 262 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Epigenetics and DNA Methylation
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

    • Gene expression and cancer classification 3
    • Molecular Biology Techniques and Applications 2
    • Single-cell and spatial transcriptomics 1
    • Kruppel-like factors research 1
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 1
    • Cancer, Hypoxia, and Metabolism 1

Wikum Dinalankara

12 papers receiving 260 citations

Peers

Wikum Dinalankara
Comparison fields: 5 of 60
  • Cancer Research 100
  • Molecular Biology 186
  • Cell Biology 37
  • Oncology 51
  • Pulmonary and Respiratory Medicine 49
Replace Chunxu Yang with:
Chunxu Yang China
Zining Jin China
Kaori Yuuki Japan
Léa Meunier France
Xiaochuang Feng China
Saiyan Bian China
Lihua Ding China
Wei‐Jia Mo China
Timothy A. Dinh United States
Tiziana Monteverde United Kingdom
Wikum Dinalankara relative to Chunxu Yang China Chunxu Yang's profile →
Citations per field
00.5×1.5×
Chunxu Yang · 1×
Citations per year

Countries citing papers authored by Wikum Dinalankara

Since Specialization
Citations

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

Fields of papers citing papers by Wikum Dinalankara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201785
2 201853
3 201830
4 202122
5 201719
6 201518
7 202012
8 201810
9
The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems
20106
10 20244
11 20212
12 20231

About Wikum Dinalankara

Wikum Dinalankara is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Artificial Intelligence, having authored 12 papers that have together received 262 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (3 papers), Gene expression and cancer classification (3 papers), Molecular Biology Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Kruppel-like factors research (1 paper), MicroRNA in disease regulation (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (100 citations), Molecular Biology (186 citations), Cell Biology (37 citations), Oncology (51 citations) and Pulmonary and Respiratory Medicine (49 citations). Wikum Dinalankara has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Luigi Marchionni, Mohammad Obaidul Hoque, Akira Ooki, Héctor Corrada Bravo, George J. Netto, Maria Del Carmen Rodriguez Peña, Noah M. Hahn, Shifeng Mao, Christopher J. VandenBussche and David Sidransky. Their work appears in journals such as Molecular Cancer Research, Cytometry Part B Clinical Cytometry, iScience, PLoS Computational Biology and BMC Cancer.

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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