David Chalmers

1.3k citations
27 papers · 1.1k · h-index 13

Impact in

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

Papers in

David Chalmers

26 papers receiving 1.1k citations

Peers

David Chalmers
Comparison fields: 5 of 75
  • Hematology 349
  • Genetics 210
  • Endocrine and Autonomic Systems 69
  • Biochemistry 81
  • Genetics 191
Replace Christopher Walsh with:
Christopher Walsh United States
Gino Doria Italy
Stewart A. Fabb Australia
Dianne C. Skelton United States
Sam Ackroyd United Kingdom
Barry Heavey Austria
Zahra Mamdouh United States
DE Van Epps United States
Shizue Tani‐ichi Japan
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Citations per field
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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 2004469
2 2003115
3 2001101
4 200455
5 200246
6 200144
7 200743
8 200040
9 199438
10 200234
11 198229
12 200126
13 200014
14 200113
15 199612
16 200010
17
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
18 20099
19 20017
20 20026

About David Chalmers

David Chalmers is a scholar working on Endocrine and Autonomic Systems, Hematology, Genetics, Genetics and Pharmacology, 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 (5 papers), Circadian rhythm and melatonin (4 papers), Mesenchymal stem cell research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), T-cell and B-cell Immunology (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Hematology (349 citations), Genetics (210 citations), Endocrine and Autonomic Systems (69 citations), Biochemistry (81 citations) and Genetics (191 citations). David Chalmers has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Luc Douay, Laurent Kiger, Hélène Lapillonne, Ladan Kobari, Michael C. Marden, Marie‐Catherine Giarratana, Thérèse Cynober, Henri Wajcman, Pierre Tiberghien and Frédéric Deschaseaux. Their work appears in journals such as Blood, Genetics, Experimental Hematology, The Journal of Gene Medicine and BioEssays.

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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