David Chalmers

1.4k citations
27 papers · 1.1k · h-index 14

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

David Chalmers

27 papers receiving 1.1k citations

Peers

David Chalmers
Comparison fields: 5 of 93
  • Genetics 256
  • Hematology 164
  • Physiology 241
  • Endocrine and Autonomic Systems 58
  • Immunology 184
Replace Kevin M. Pawlik with:
Kevin M. Pawlik United States
Maqsood A. Wani United States
Bryan E. Strauss Brazil
Armin Volz Germany
Claude Bagnis France
Loretta Cerruti Australia
Carlos‐Filipe Pereira Portugal
Kan Saito Japan
Steven C. Miller United States
Andreas Reik United States
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Citations per field
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Kevin M. Pawlik · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004445
2 2003108
3 200195
4 200450
5 200246
6 200142
7 200742
8 200040
9 199435
10 200233
11 200126
12 198226
13 201417
14 200013
15 200113
16 201311
17 199611
18 200010
19
Preservation of the myofibroblastic phenotype of human papilloma virus 16 E6/E7 immortalized human bone marrow cells using the lineage limited alpha-smooth muscle actin promoter.
20019
20 20017

About David Chalmers

David Chalmers is a scholar working on Genetics, Molecular Biology, Epidemiology, Genetics and Oncology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Herpesvirus Infections and Treatments (3 papers), CAR-T cell therapy research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Mesenchymal stem cell research (3 papers), Solar Thermal and Photovoltaic Systems (2 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Genetics (256 citations), Hematology (164 citations), Physiology (241 citations), Endocrine and Autonomic Systems (58 citations) and Immunology (184 citations). David Chalmers has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Luc Douay, Henri Wajcman, Marie‐Catherine Giarratana, Ladan Kobari, Thérèse Cynober, Michael C. Marden, Hélène Lapillonne, Laurent Kiger, Pierre Tiberghien and Frédéric Deschaseaux. Their work appears in journals such as Experimental Hematology, Genetics, Blood, The Journal of Gene Medicine and Biochemical and Biophysical Research Communications.

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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