Andrew Flatley

5.7k citations
29 papers · 1.8k indexed · h-index 18

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Cancer-related molecular mechanisms research

Papers in

    • Galectins and Cancer Biology 3
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • RNA Research and Splicing 8
    • Genomics and Chromatin Dynamics 5
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 5

Andrew Flatley

29 papers receiving 1.8k citations

Peers

Andrew Flatley
Comparison fields: 5 of 107
  • Neurology 416
  • Cancer Research 293
  • Molecular Biology 1.3k
  • Genetics 188
  • Neurology 81
Replace Chio Oka with:
Chio Oka Japan
Laura Corson United States
Idoia García Spain
Ross Weber United States
Stephanie McKeown United Kingdom
Ilaria Scambi Italy
Xiaoping Zhou China
Alessandro Campanella Italy
Eduard Yakubov Germany
William Eades United States
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Citations per field
00.5×3.4×
Chio Oka · 1×
Citations per year

Countries citing papers authored by Andrew Flatley

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Flatley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009445
2 2018335
3 2007250
4 2012119
5 2008119
6 201063
7 201762
8 201857
9 201640
10 200839
11 201527
12 202125
13 201123
14 201923
15 201922
16 201519
17 202018
18 201617
19 202017
20 201912

About Andrew Flatley

Andrew Flatley is a scholar working on Immunology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Galectins and Cancer Biology (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Neurology (416 citations), Cancer Research (293 citations), Molecular Biology (1.3k citations), Genetics (188 citations) and Neurology (81 citations). Andrew Flatley has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Elisabeth Kremmer, Gunter Meister, Regina Feederle, Dirk Eick, Martin Heidemann, Rob D. Chapman, John Q. Trojanowski, Manuela Neumann, Virginia M.‐Y. Lee and Linda K. Kwong. Their work appears in journals such as RNA, Journal of Biological Chemistry, Science Signaling, International Journal of Cancer and Analytical and Bioanalytical Chemistry.

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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