David Chalmers

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, Hélène Lapillonne, Thérèse Cynober, Michael C. Marden, Marie‐Catherine Giarratana, Ladan Kobari, Laurent Kiger, Henri Wajcman, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Chalmers France 14 359 277 257 240 204 27 1.1k
Claude Bagnis France 21 822 2.3× 318 1.1× 215 0.8× 317 1.3× 183 0.9× 52 1.5k
Guillermo Güenechea Spain 20 1.3k 3.6× 286 1.0× 191 0.7× 586 2.4× 340 1.7× 42 1.9k
Thomas Stiehl Germany 21 528 1.5× 317 1.1× 97 0.4× 88 0.4× 233 1.1× 49 1.3k
D. Wade Clapp United States 23 1.4k 3.9× 216 0.8× 135 0.5× 432 1.8× 335 1.6× 36 2.1k
Sirous Zeinali Iran 18 794 2.2× 151 0.5× 63 0.2× 202 0.8× 142 0.7× 112 1.3k
Chiara Borsotti Italy 16 441 1.2× 321 1.2× 49 0.2× 145 0.6× 215 1.1× 39 1.2k
Maqsood A. Wani United States 18 1.1k 3.1× 189 0.7× 48 0.2× 265 1.1× 189 0.9× 22 1.6k
Armin Volz Germany 19 797 2.2× 141 0.5× 129 0.5× 163 0.7× 88 0.4× 35 2.0k
Nambirajan Sundaram United States 13 639 1.8× 138 0.5× 101 0.4× 235 1.0× 518 2.5× 18 1.5k
Chantal Cerdan France 21 1.1k 3.0× 174 0.6× 128 0.5× 91 0.4× 228 1.1× 33 1.8k

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

20 of 20 papers shown
1.
Perez, Richard, et al.. (2014). The Cost of Mitigating Short-term PV Output Variability. Energy Procedia. 57. 755–762. 17 indexed citations
2.
Perez, Richard, et al.. (2013). Mitigating Short-Term PV Output Intermittency. World Conference on Photovoltaic Energy Conversion. 3719–3726. 11 indexed citations
3.
Pallandre, Jean‐René, David Chalmers, Bernhard Ryffel, et al.. (2007). Natural killer cells prevent CD28-mediated Foxp3 transcription in CD4+CD25– T lymphocytes. Experimental Hematology. 35(3). 416–425. 42 indexed citations
4.
Davani, Siamak, et al.. (2004). Can stem cells mend a broken heart?. Cardiovascular Research. 65(2). 305–316. 50 indexed citations
5.
Deschaseaux, Frédéric, et al.. (2003). Direct selection of human bone marrow mesenchymal stem cells using an anti‐CD49a antibody reveals their CD45med,low phenotype. British Journal of Haematology. 122(3). 506–517. 107 indexed citations
6.
Deschaseaux, Frédéric, et al.. (2003). Direct selection of human bone marrow mesenchymal stem cells using an anti-CD49a antibody reveals their. 3 indexed citations
7.
Fresnay, Stéphanie, David Chalmers, Christophe Ferrand, et al.. (2002). Polybrene and interleukin‐4: two opposing factors for retroviral transduction of bone‐marrow‐derived dendritic cells. The Journal of Gene Medicine. 4(6). 601–612. 6 indexed citations
8.
Saas, Philippe, et al.. (2002). A self-defence mechanism of astrocytes against Fas-mediated death involving interleukin-8 and CXCR2. Neuroreport. 13(15). 1921–1924. 33 indexed citations
9.
Carvalho, Manoel de, Philippe Saas, Stéphanie Fresnay, et al.. (2001). Exposure to exogenous DNA can modify the sensitivity of the Fas apoptotic pathway. The Journal of Gene Medicine. 4(1). 14–24. 7 indexed citations
10.
Chalmers, David, Christophe Ferrand, Jane F. Apperley, et al.. (2001). Elimination of the Truncated Message from the Herpes Simplex Virus Thymidine Kinase Suicide Gene. Molecular Therapy. 4(2). 146–148. 42 indexed citations
11.
Loeuillet, Corinne, G. Bernard, Jean-Paul Rémy-Martin, et al.. (2001). Distinct hematopoietic support by two human stromal cell lines. Experimental Hematology. 29(6). 736–745. 26 indexed citations
12.
Campesan, Susanna, David Chalmers, Federica Sandrelli, et al.. (2001). Comparative Analysis of the nonA Region in Drosophila Identifies a Highly Diverged 5′ Gene That May Constrain nonA Promoter Evolution. Genetics. 157(2). 751–764. 13 indexed citations
13.
Garín, Marina, Pierre Tiberghien, Jane F. Apperley, et al.. (2001). Molecular mechanism for ganciclovir resistance in human T lymphocytes transduced with retroviral vectors carrying the herpes simplex virus thymidine kinase gene. Blood. 97(1). 122–129. 95 indexed citations
14.
Maddens, Stéphane, Pierre Tiberghien, Emmanuel Contassot, et al.. (2000). Development of a Competitive PCR Method for In Vitro and In Vivo Quantification of Herpes Simplex Virus Thymidine Kinase and Neomycin Resistance-Expressing Cells Used in a Clinical Trial. Journal of Hematotherapy & Stem Cell Research. 9(2). 225–236. 13 indexed citations
15.
Walker, Paul R., Thomas Calzascia, Valérie Schnüriger, et al.. (2000). Loss of Fas (CD95/APO-1) Expression by Antigen-Specific Cytotoxic T Cells Is Reversed by Inhibiting DNA Methylation. Cellular Immunology. 206(1). 51–58. 10 indexed citations
17.
Kyriacou, Charalambos P., et al.. (1996). Evolution and population biology of theperiodgene. Seminars in Cell and Developmental Biology. 7(6). 803–810. 11 indexed citations
18.
Nielsen, Jacob, Alexandre A. Peixoto, Alberto Piccin, et al.. (1994). Big flies, small repeats: the "Thr-Gly" region of the period gene in Diptera.. Molecular Biology and Evolution. 11(6). 839–53. 35 indexed citations
19.
Chalmers, David & Charalambos P. Kyriacou. (1993). What the papers say: Glowing reports on biorhythm research. BioEssays. 15(11). 755–756. 2 indexed citations
20.
Chalmers, David & Samuel Brown. (1987). Epoxide hydrolase expression in human and rodent established cell lines. Xenobiotica. 17(1). 71–77. 1 indexed citations

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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