D S Anson

2.1k citations
35 papers · 1.8k · h-index 23

Impact in

  • Hematology top 2%
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
  • Physiology top 5%
    • Lysosomal Storage Disorders Research

Papers in

    • RNA Interference and Gene Delivery 7
    • CRISPR and Genetic Engineering 6
    • Glycosylation and Glycoproteins Research 4
    • Cancer-related gene regulation 4
    • Virus-based gene therapy research 16

D S Anson

35 papers receiving 1.7k citations

Peers

D S Anson
Comparison fields: 5 of 85
  • Hematology 445
  • Physiology 698
  • Genetics 189
  • Genetics 419
  • Molecular Biology 875
Replace Emilie H. Mules with:
Emilie H. Mules United States
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Lynne Lacomis United States
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Gary Mallinson United Kingdom
R.P. Creagan United States
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T Kojima Japan
Stefan Glaser Australia
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D S Anson relative to Emilie H. Mules United States Emilie H. Mules's profile →
Citations per field
00.5×3.3×
Emilie H. Mules · 1×
Citations per year

Countries citing papers authored by D S Anson

Since Specialization
Citations

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

Fields of papers citing papers by D S Anson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D S Anson. 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 D S Anson. The network helps show where D S Anson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984307
2 1990226
3 1991125
4 1984118
5 1996115
6 1984102
7 198575
8 199265
9 199357
10 199454
11 201044
12 200541
13 199234
14 199534
15 199633
16 200731
17 200331
18 199530
19 201228
20
Towards gene therapy for hemophilia B.
198724

About D S Anson

D S Anson is a scholar working on Molecular Biology, Genetics, Physiology, Hematology and Organic Chemistry, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Lysosomal Storage Disorders Research (12 papers), RNA Interference and Gene Delivery (7 papers), Hemophilia Treatment and Research (6 papers), CRISPR and Genetic Engineering (6 papers), Glycosylation and Glycoproteins Research (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Hematology (445 citations), Physiology (698 citations), Genetics (189 citations), Genetics (419 citations) and Molecular Biology (875 citations). D S Anson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John J. Hopwood, Julie Bielicki, G.G. Brownlee, C. Phillip Morris, K.H. Andy Choo, F. Giannelli, Peter R. Clements, Peter J. Wilson, Peter R. Winship and Joyce A. Huddleston. Their work appears in journals such as Biochemical Journal, Human Gene Therapy, Proceedings of the National Academy of Sciences, The Journal of Gene Medicine and Journal of Clinical Investigation.

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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