Alan J. Davidson

147 papers receiving 6.4k citations

Peers

Alan J. Davidson
Comparison fields: 5 of 129
  • Cell Biology 1.4k
  • Nephrology 571
  • Molecular Biology 4.0k
  • Obstetrics and Gynecology 292
  • Hematology 414
Replace Dale R. Abrahamson with:
Dale R. Abrahamson United States
Yasuteru Muragaki Japan
Carmelo Bernabéu Spain
Sohei Kitazawa Japan
Takehiko Koji Japan
Hans-Peter Gerber United States
Daniel F. Bowen‐Pope United States
Yasufumi Sato Japan
Kyoji Ikeda Japan
Jun‐ichi Hanai United States
Alan J. Davidson relative to Dale R. Abrahamson United States Dale R. Abrahamson's profile →
Citations per field
00.5×3.7×
Dale R. Abrahamson · 1×
Citations per year

Countries citing papers authored by Alan J. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan J. Davidson. 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 Alan J. Davidson. The network helps show where Alan J. Davidson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004340
2 2005289
3 2007258
4 2011214
5 2003199
6 2018187
7 2002175
8 2008168
9 2008162
10 2013153
11 2004142
12 1990138
13 2009130
14 2010128
15 1997124
16 2004122
17 1990102
18 1993102
19 198990
20 201190

About Alan J. Davidson

Alan J. Davidson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Cell Biology and Genetics, having authored 150 papers that have together received 6.5k indexed citations. Recurring topics across this work include Renal and related cancers (52 papers), Renal cell carcinoma treatment (19 papers), Zebrafish Biomedical Research Applications (19 papers), Pluripotent Stem Cells Research (15 papers), Acute Kidney Injury Research (13 papers), Renal and Vascular Pathologies (13 papers), Genetic and Kidney Cyst Diseases (12 papers) and Birth, Development, and Health (12 papers). The work is most often cited by research in Cell Biology (1.4k citations), Nephrology (571 citations), Molecular Biology (4.0k citations), Obstetrics and Gynecology (292 citations) and Hematology (414 citations). Alan J. Davidson has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Leonard I. Zon, Rebecca A. Wingert, D S Hartman, Lee B. Talner, Neil A. Hukriede, Aneta Przepiorski, Richard W. Naylor, Veronika Sander, Kimberly Dooley and Iain A. Drummond. Their work appears in journals such as Radiology, Investigative Radiology, Developmental Biology, Pediatric Nephrology and American Journal of Physiology-Renal Physiology.

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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