David R. Archer
- Molecular Biology top 5%
- Genetics top 0.5%
- Physiology top 2%
- Immunology top 5%
- Developmental Neuroscience top 0.5%
- Co-authors
- Aparajita GoyalIan D. DuncanPaul C. RobertsSiddharth BalachandranGlen N. BarberMichelle C. LaPlacaMatthew C. TateDeborah A. Shear
- Topics
- Hemoglobinopathies and Related Disorders (48 papers)Iron Metabolism and Disorders (17 papers)Erythrocyte Function and Pathophysiology (16 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
David R. Archer
107 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 1.7k
- Genetics 1.1k
- Physiology 827
- Immunology 822
- Developmental Neuroscience 752
Countries citing papers authored by David R. Archer
This map shows the geographic impact of David R. Archer'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 R. Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Archer more than expected).
Fields of papers citing papers by David R. Archer
This network shows the impact of papers produced by David R. Archer. 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 R. Archer. The network helps show where David R. Archer may publish in the future.
Co-authorship network of co-authors of David R. Archer
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Archer. A scholar is included among the top collaborators of David R. Archer 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 R. Archer. David R. Archer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 21 | |
| 8 | 13 | |
| 9 | 20 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | Financing of Adult Education. | 3 |
| 14 | Writing the Wrongs: Invest in Adult Literacy Now!. | 1 |
| 15 | The Impact of the World Bank and IMF on Education Rights. | 4 |
| 16 | 10 | |
| 17 | NGO Perspectives on Adult Literacy. | 2 |
| 18 | 137 | |
| 19 | Reflect mother manual : regenerated freirean literacy through empowering community techniques : Actionaid, March 1996 | 30 |
| 20 | 48 |
About David R. Archer
David R. Archer is a scholar working on Genetics, Hematology and Developmental Neuroscience, having authored 115 papers that have together received 5.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (48 papers), Iron Metabolism and Disorders (17 papers) and Erythrocyte Function and Pathophysiology (16 papers). The work is most often cited by research in Developmental Neuroscience (752 citations), Genetics (1.1k citations) and Hematology (704 citations). David R. Archer has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Aparajita Goyal, Ian D. Duncan, Paul C. Roberts, Siddharth Balachandran, Glen N. Barber, Michelle C. LaPlaca, Matthew C. Tate, Deborah A. Shear, Donald G. Stein and Andreas Weidemann. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.