Nicholas Donovan

403 citations
5 papers · 316 · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Melanoma and MAPK Pathways

Papers in

    • Angiogenesis and VEGF in Cancer 1
    • Epigenetics and DNA Methylation 1
    • Cancer Genomics and Diagnostics 2
    • Cancer-related molecular mechanisms research 2

Nicholas Donovan

5 papers receiving 313 citations

Peers

Nicholas Donovan
Comparison fields: 5 of 44
  • Cancer Research 134
  • Molecular Biology 219
  • Oncology 67
  • Endocrinology 10
  • Cell Biology 27
Replace Callie R. Merry with:
Callie R. Merry United States
Wang Hu China
Heping Kan China
Masahisa Ishibashi Japan
Xinhong Pei China
Guillaume Davidson France
Celine Everaert Belgium
Xiaowei Xi China
Changkun Huang China
Nicholas Donovan relative to Callie R. Merry United States Callie R. Merry's profile →
Citations per field
00.5×1.7×
Callie R. Merry · 1×
Citations per year

Countries citing papers authored by Nicholas Donovan

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201590
2 201385
3 201473
4 201447
5 201521

About Nicholas Donovan

Nicholas Donovan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Allergy and Immunology, having authored 5 papers that have together received 316 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related molecular mechanisms research (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer-related Molecular Pathways (1 paper), Immunotherapy and Immune Responses (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (219 citations), Oncology (67 citations), Endocrinology (10 citations) and Cell Biology (27 citations). Nicholas Donovan has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Dave S.�B. Hoon, Diego M. Marzese, Eiji Kiyohara, Kelly K. Chong, Donald L. Morton, Hajime Hirose, Daniel F. Kelly, Jinhua Wang, James S. Wilmott and Richard A. Scolyer. Their work appears in journals such as Pigment Cell & Melanoma Research, Human Molecular Genetics, Cancer Microenvironment, Journal of Clinical Investigation and Journal of Investigative Dermatology.

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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