David Chalmers

42 total papers · 1.4k total citations
27 papers, 1.1k citations indexed

About

David Chalmers is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, David Chalmers has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in David Chalmers's work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). David Chalmers is often cited by papers focused on Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). David Chalmers collaborates with scholars based in France, United Kingdom and United States. David Chalmers's co-authors include Luc Douay, Marie‐Catherine Giarratana, Michael C. Marden, Hélène Lapillonne, Laurent Kiger, Thérèse Cynober, Henri Wajcman, Ladan Kobari, Pierre Tiberghien and Frédéric Deschaseaux and has published in prestigious journals such as Blood, Nature Biotechnology and Genetics.

In The Last Decade

David Chalmers

27 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
David Chalmers 359 278 257 240 205 27 1.1k
Shundi Ge 606 1.7× 325 1.2× 110 0.4× 172 0.7× 218 1.1× 26 1.3k
Wouter Van’t Hof 547 1.5× 468 1.7× 143 0.6× 105 0.4× 198 1.0× 44 1.2k
Glenn P. Niemeyer 385 1.1× 233 0.8× 68 0.3× 454 1.9× 205 1.0× 24 981
Brigitte Izac 655 1.8× 248 0.9× 121 0.5× 170 0.7× 156 0.8× 37 1.4k
A. A. Sandberg 471 1.3× 134 0.5× 70 0.3× 240 1.0× 337 1.6× 26 1.3k
Frédéric Aurade 703 2.0× 159 0.6× 135 0.5× 117 0.5× 183 0.9× 31 1.2k
Linda Kelley 438 1.2× 178 0.6× 135 0.5× 78 0.3× 360 1.8× 40 1.0k
Thomas Stiehl 521 1.5× 313 1.1× 97 0.4× 86 0.4× 232 1.1× 49 1.3k
Kerstin B. Kaufmann 689 1.9× 146 0.5× 92 0.4× 274 1.1× 204 1.0× 21 1.3k
Michael Mendicino 394 1.1× 325 1.2× 82 0.3× 266 1.1× 98 0.5× 23 1.3k

Countries citing papers authored by David Chalmers

Since Specialization
Citations

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

Fields of papers citing papers by David Chalmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chalmers

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

All Works

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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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