Alan Bilsland

7.0k citations
37 papers · 1.0k · h-index 21

Impact in

Papers in

    • RNA Interference and Gene Delivery 9
    • Advanced biosensing and bioanalysis techniques 6
    • CRISPR and Genetic Engineering 4
    • Genomics and Chromatin Dynamics 3
    • Telomeres, Telomerase, and Senescence 18

Alan Bilsland

37 papers receiving 991 citations

Peers

Alan Bilsland
Comparison fields: 5 of 90
  • Physiology 381
  • Biotechnology 123
  • Aging 22
  • Molecular Biology 647
  • Genetics 177
Replace Anandhkumar Raju with:
Anandhkumar Raju Singapore
A. M. Burger United States
Ekaterina Bassett United States
Dawid Walerych Poland
Guikai Wu United States
Jaroslav Žák United States
Yuebo Gan United States
MV Blagosklonny United States
Zeng‐Fu Shang China
Sylvia Musto United States
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Citations per field
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Citations per year

Countries citing papers authored by Alan Bilsland

Since Specialization
Citations

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

Fields of papers citing papers by Alan Bilsland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 202296
3 200182
4 200574
5 200364
6 200951
7 201244
8 200041
9 200235
10 200432
11 200629
12 200929
13 200728
14 200328
15 200428
16 202228
17 201325
18 201024
19 201022
20 201022

About Alan Bilsland

Alan Bilsland is a scholar working on Molecular Biology, Physiology, Genetics, Biotechnology and Cancer Research, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (18 papers), RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (5 papers), Cancer Research and Treatments (4 papers), CRISPR and Genetic Engineering (4 papers), Click Chemistry and Applications (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Physiology (381 citations), Biotechnology (123 citations), Aging (22 citations), Molecular Biology (647 citations) and Genetics (177 citations). Alan Bilsland has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include W. Nicol Keith, Marta Bon, T.R. Jeffry Evans, Jiangqin Zhao, Claire J. Cairney, Justin Bower, Rosalind Glasspool, Stacey F. Hoare, Jane A. Plumb and Richard J. Knox. Their work appears in journals such as Neoplasia, Cancer Research, Oncogene, Journal of Clinical Oncology and Journal of Mammary Gland Biology and Neoplasia.

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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