David Barker

398 total papers · 10.7k total citations
271 papers, 8.1k citations indexed

About

David Barker is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, David Barker has authored 271 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 75 papers in Organic Chemistry and 34 papers in Biomedical Engineering. Recurrent topics in David Barker's work include Plant-derived Lignans Synthesis and Bioactivity (28 papers), Conducting polymers and applications (22 papers) and Traditional and Medicinal Uses of Annonaceae (19 papers). David Barker is often cited by papers focused on Plant-derived Lignans Synthesis and Bioactivity (28 papers), Conducting polymers and applications (22 papers) and Traditional and Medicinal Uses of Annonaceae (19 papers). David Barker collaborates with scholars based in New Zealand, United States and United Kingdom. David Barker's co-authors include Richard F. Johnston, Mark S. Chee, Lisa I. Pilkington, Richard Shen, Arnold Oliphant, R.E. Marsh, Kevin L. Gunderson, Marina Bibikova, Eugene Chudin and Edward A. Kravitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Genetics.

In The Last Decade

David Barker

257 papers receiving 7.8k citations

Hit Papers

Autoradiography using sto... 1990 2026 2002 2014 1990 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Barker 3.9k 1.4k 1.3k 955 888 271 8.1k
Bernard F. Erlanger 6.2k 1.6× 1.1k 0.8× 1.2k 1.0× 935 1.0× 594 0.7× 195 11.3k
Qun Liu 3.3k 0.8× 616 0.4× 621 0.5× 460 0.5× 507 0.6× 281 8.9k
Masahiro Shirakawa 6.7k 1.7× 1.0k 0.7× 596 0.5× 369 0.4× 510 0.6× 204 9.7k
Jason E. Gestwicki 10.7k 2.7× 614 0.4× 1.8k 1.4× 1.1k 1.1× 478 0.5× 225 14.7k
Dick Hoekstra 11.9k 3.0× 1.9k 1.4× 1.0k 0.8× 688 0.7× 1.4k 1.6× 257 16.5k
Andreas Herrmann 8.0k 2.0× 617 0.4× 753 0.6× 640 0.7× 810 0.9× 330 12.2k
Atsushi Suzuki 4.2k 1.1× 556 0.4× 1.7k 1.3× 905 0.9× 235 0.3× 269 9.0k
Alain Van Dorsselaer 4.5k 1.2× 493 0.4× 1.9k 1.5× 551 0.6× 445 0.5× 193 10.2k
Thomas Kodadek 8.6k 2.2× 935 0.7× 3.0k 2.4× 393 0.4× 622 0.7× 249 11.7k
Longping Wen 4.4k 1.1× 362 0.3× 618 0.5× 270 0.3× 1.9k 2.1× 139 9.6k

Countries citing papers authored by David Barker

Since Specialization
Citations

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

Fields of papers citing papers by David Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Barker

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026