Jamie A. Davies

22.7k total citations · 11 hit papers
204 papers, 15.4k citations indexed

About

Jamie A. Davies is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jamie A. Davies has authored 204 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Molecular Biology, 34 papers in Surgery and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jamie A. Davies's work include Renal and related cancers (80 papers), Pluripotent Stem Cells Research (32 papers) and Renal cell carcinoma treatment (23 papers). Jamie A. Davies is often cited by papers focused on Renal and related cancers (80 papers), Pluripotent Stem Cells Research (32 papers) and Renal cell carcinoma treatment (23 papers). Jamie A. Davies collaborates with scholars based in United Kingdom, United States and Australia. Jamie A. Davies's co-authors include Elena Faccenda, Christopher Southan, S P H Alexander, Adam J Pawson, Joanna L Sharman, Eamonn Kelly, Simon D Harding, John A. Peters, Neil V. Marrion and Anthony P. Davenport and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jamie A. Davies

200 papers receiving 15.2k citations

Hit Papers

The IUPHAR/BPS Guide to P... 2015 2026 2018 2022 2017 2015 2015 2019 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie A. Davies United Kingdom 57 8.1k 2.3k 1.8k 1.6k 1.6k 204 15.4k
Mei Lü United States 80 7.0k 0.9× 3.5k 1.5× 2.2k 1.2× 2.3k 1.4× 1.4k 0.9× 377 24.3k
Ling Li China 63 10.2k 1.3× 1.9k 0.8× 2.1k 1.2× 769 0.5× 2.5k 1.6× 519 20.7k
Chung Y. Hsu Taiwan 69 5.8k 0.7× 3.4k 1.5× 1.5k 0.8× 1.5k 0.9× 2.9k 1.8× 468 19.8k
Ying Chen China 66 7.7k 1.0× 889 0.4× 1.3k 0.7× 1.0k 0.6× 1.6k 1.0× 615 16.5k
Jian Wang China 84 11.6k 1.4× 4.3k 1.9× 2.2k 1.3× 2.6k 1.6× 2.6k 1.7× 897 30.6k
Jin Liu China 53 4.6k 0.6× 1.2k 0.5× 2.4k 1.3× 1.1k 0.7× 1.4k 0.9× 812 15.4k
Nobuya Inagaki Japan 72 8.6k 1.1× 2.2k 1.0× 6.0k 3.4× 1.3k 0.8× 3.1k 2.0× 548 21.3k
Eng H. Lo United States 97 12.1k 1.5× 4.7k 2.0× 1.2k 0.7× 2.6k 1.6× 3.7k 2.4× 470 35.9k
Alan Fine United States 59 4.7k 0.6× 4.0k 1.7× 1.5k 0.8× 1.9k 1.2× 1.0k 0.7× 214 11.9k
Seung Up Kim South Korea 85 9.8k 1.2× 5.6k 2.4× 2.7k 1.5× 1.3k 0.8× 3.5k 2.2× 839 32.8k

Countries citing papers authored by Jamie A. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Jamie A. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie A. Davies. 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 Jamie A. Davies. The network helps show where Jamie A. Davies may publish in the future.

Co-authorship network of co-authors of Jamie A. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie A. Davies. A scholar is included among the top collaborators of Jamie A. Davies 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 Jamie A. Davies. Jamie A. Davies 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.
Beyer, Hannes M., Kun Tang, Cha San Koh, et al.. (2024). Genetically-stable engineered optogenetic gene switches modulate spatial cell morphogenesis in two- and three-dimensional tissue cultures. Nature Communications. 15(1). 10470–10470. 6 indexed citations
2.
Harding, Simon D, Jane F Armstrong, Elena Faccenda, et al.. (2023). The IUPHAR/BPS Guide to PHARMACOLOGY in 2024. Nucleic Acids Research. 52(D1). D1438–D1449. 103 indexed citations breakdown →
3.
Davies, Jamie A. & Michael Levin. (2023). Synthetic morphology with agential materials. Nature Reviews Bioengineering. 1(1). 46–59. 40 indexed citations
4.
Alexander, S P H, John A. Cidlowski, Eamonn Kelly, et al.. (2021). THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: Nuclear hormone receptors. British Journal of Pharmacology. 178(S1). S246–S263. 105 indexed citations
5.
Harding, Simon D, Jane F Armstrong, Elena Faccenda, et al.. (2021). The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials. Nucleic Acids Research. 50(D1). D1282–D1294. 102 indexed citations
6.
Alexander, S P H, Alistair Mathie, John A. Peters, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology. 176(S1). S142–S228. 291 indexed citations breakdown →
7.
Alexander, S P H, Eamonn Kelly, Alistair Mathie, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Introduction and Other Protein Targets. British Journal of Pharmacology. 176(S1). S1–S20. 397 indexed citations breakdown →
8.
Alexander, S P H, Doriano Fabbro, Eamonn Kelly, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Catalytic receptors. British Journal of Pharmacology. 176(S1). S247–S296. 187 indexed citations
9.
Alexander, S P H, John A. Cidlowski, Eamonn Kelly, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Nuclear hormone receptors. British Journal of Pharmacology. 176(S1). S229–S246. 148 indexed citations
10.
Alexander, S P H, Arthur Christopoulos, Anthony P. Davenport, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein‐coupled receptors. British Journal of Pharmacology. 176(S1). S21–S141. 639 indexed citations breakdown →
11.
Alexander, S P H, Doriano Fabbro, Eamonn Kelly, et al.. (2019). THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Enzymes. British Journal of Pharmacology. 176(S1). S297–S396. 485 indexed citations breakdown →
12.
Davies, Jamie A., Patricia Murray, & Bettina Wilm. (2019). Regenerative medicine therapies: lessons from the kidney. Current Opinion in Physiology. 14. 41–47. 5 indexed citations
13.
Munro, David A. D., Chris S. Vink, Zhuan Li, et al.. (2019). Macrophages restrict the nephrogenic field and promote endothelial connections during kidney development. eLife. 8. 53 indexed citations
14.
Alexander, S P H, Eamonn Kelly, Neil V. Marrion, et al.. (2017). THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: Overview. British Journal of Pharmacology. 174(S1). S1–S16. 261 indexed citations
15.
Burn, Sally F., Anna Webb, Rachel L. Berry, et al.. (2011). Calcium/NFAT signalling promotes early nephrogenesis. Developmental Biology. 352(2). 288–298. 70 indexed citations
16.
McMahon, Andrew P., Bruce J. Aronow, Duncan Davidson, et al.. (2008). GUDMAP. Journal of the American Society of Nephrology. 19(4). 667–671. 196 indexed citations
17.
Davies, Jamie A.. (2004). Practical guide to developmental biology. BioEssays. 26. 2 indexed citations
18.
Davies, Jamie A.. (2003). Introduction to Immunocytochemistry. Journal of Anatomy. 202(2). 251. 2 indexed citations
19.
Barnett, Mark, Carolyn E. Fisher, Georgia Perona‐Wright, & Jamie A. Davies. (2002). Signalling by glial cell line-derived neurotrophic factor (GDNF) requires heparan sulphate glycosaminoglycan. Journal of Cell Science. 115(23). 4495–4503. 83 indexed citations
20.
Davies, Jamie A. & Jonathan Bard. (1998). 8 The Development of the Kidney. Current topics in developmental biology. 39. 245–301. 71 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026