Anna‐Liisa Prabhu

1.9k citations
5 papers · 1.0k indexed · 1 hit paper · h-index 5
Topics
MicroRNA in disease regulation (3 papers)RNA modifications and cancer (2 papers)Cancer-related molecular mechanisms research (2 papers)
Journals
Genome ResearchBioTechniquesMethods in molecular biology
Partner nations
Canada

In The Last Decade

Anna‐Liisa Prabhu

5 papers receiving 1.0k citations

Hit Papers

Application of massively parallel sequencing to microRNA ...20082026201420202008250500750

Peers

Anna‐Liisa Prabhu
Comparison fields: 5 of 73
  • Molecular Biology 890
  • Cancer Research 777
  • Plant Science 94
  • Immunology 52
  • Genetics 39
Replace Mayuko Yoda with:
Mayuko Yoda Japan
Yoshinari Ando Japan
David Jee United States
Cora Mund Germany
Jessica Sheu‐Gruttadauria United States
Matthew G. Schwartz United States
Kenneth J. Finn United States
Roman Spektor United States
Noa Gil Israel
Geneva Young United States
Anna‐Liisa Prabhu relative to Mayuko Yoda Japan Mayuko Yoda's profile →
Citations per field
00.5×1.6×
Mayuko Yoda · 1×
Citations per year

Countries citing papers authored by Anna‐Liisa Prabhu

Since Specialization
Citations

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

Fields of papers citing papers by Anna‐Liisa Prabhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna‐Liisa Prabhu. 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 Anna‐Liisa Prabhu. The network helps show where Anna‐Liisa Prabhu may publish in the future.

Co-authorship network of co-authors of Anna‐Liisa Prabhu

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 16
2 9
3 143
4
Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cellsbreakdown →
874
5 5

About Anna‐Liisa Prabhu

Anna‐Liisa Prabhu is a scholar working on Cancer Research, Molecular Biology and Ecology, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (777 citations), Molecular Biology (890 citations) and Plant Science (94 citations). Anna‐Liisa Prabhu has collaborated with scholars based in Canada. Frequent co-authors include Marco A. Marra, Martin Hirst, Helen McDonald, Allen Delaney, Yongjun Zhao, Thomas Zeng, Ryan D. Morin, Malachi Griffith, Florian Kuchenbauer and Connie J. Eaves. Their work appears in journals such as Genome Research, BioTechniques and Methods in molecular 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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