Duncan Baker

4.1k citations
40 papers · 1.8k · h-index 19

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
  • Genetics top 10%
    • Connective tissue disorders research
    • Mesenchymal stem cell research

Papers in

    • Pluripotent Stem Cells Research 24
    • CRISPR and Genetic Engineering 17
    • Renal and related cancers 9
    • Connective tissue disorders research 12
    • Animal Genetics and Reproduction 4

Duncan Baker

39 papers receiving 1.8k citations

Peers

Duncan Baker
Comparison fields: 5 of 78
  • Molecular Biology 1.5k
  • Genetics 107
  • Genetics 283
  • Aging 17
  • Developmental Neuroscience 33
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Citations per field
00.5×3.5×
Ornella Barrandon · 1×
Citations per year

Countries citing papers authored by Duncan Baker

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007481
2 2017220
3 2008188
4 2013118
5 2016106
6 200897
7 201967
8 201056
9 200748
10 200945
11 201445
12 201039
13 201037
14 201225
15 202324
16 201021
17 201920
18 201020
19 201119
20 200918

About Duncan Baker

Duncan Baker is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Surgery and Oncology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (17 papers), Connective tissue disorders research (12 papers), Renal and related cancers (9 papers), 3D Printing in Biomedical Research (5 papers), Animal Genetics and Reproduction (4 papers), Peptidase Inhibition and Analysis (3 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Genetics (107 citations), Genetics (283 citations), Aging (17 citations) and Developmental Neuroscience (33 citations). Duncan Baker has collaborated with scholars based in United Kingdom, Canada and Switzerland. Frequent co-authors include Peter W. Andrews, H. D. M. Moore, Neil J. Harrison, Edna L. Maltby, Pamela J. Shaw, Hazel M. Holden, Paul R. Heath, Kath Smith, Mark Jones and Ivana Barbaric. Their work appears in journals such as Stem Cell Research, Stem Cell Reports, Human Reproduction, European Journal of Human Genetics and Cryobiology.

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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