David Woo

1.2k citations
17 papers · 934 · h-index 14

Impact in

  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies

Papers in

    • Renal and related cancers 5
    • Receptor Mechanisms and Signaling 2
    • Sexual Differentiation and Disorders 2
    • Glycosylation and Glycoproteins Research 1
    • Genetic and Kidney Cyst Diseases 5
    • Estrogen and related hormone effects 2

David Woo

17 papers receiving 910 citations

Peers

David Woo
Comparison fields: 5 of 80
  • Genetics 444
  • Nephrology 96
  • Pathology and Forensic Medicine 157
  • Molecular Biology 573
  • Oncology 137
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David Woo relative to Frank Barletta United States Frank Barletta's profile →
Citations per field
00.5×1.5×2.0×
Frank Barletta · 1×
Citations per year

Countries citing papers authored by David Woo

Since Specialization
Citations

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

Fields of papers citing papers by David Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Woo. 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 Woo. The network helps show where David Woo may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1995257
2 2001172
3 1994118
4 199763
5 199160
6 200135
7 200735
8 198433
9 199729
10 198625
11 199024
12 198123
13 198620
14 200317
15 198911
16 20017
17 20015

About David Woo

David Woo is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 934 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Sexual Differentiation and Disorders (2 papers), Estrogen and related hormone effects (2 papers), Birth, Development, and Health (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (444 citations), Nephrology (96 citations), Pathology and Forensic Medicine (157 citations), Molecular Biology (573 citations) and Oncology (137 citations). David Woo has collaborated with scholars based in United States, Germany and Venezuela. Frequent co-authors include Christine M. Eischen, Martine F. Roussel, John L. Cleveland, Juan C. Pelayo, Adrian S. Woolf, Dang Khoa Nguyen, Nassim Khatibi, Colin Fox, Ira Kurtz and Jill T. Norman. Their work appears in journals such as Molecular and Cellular Endocrinology, Proceedings of the National Academy of Sciences, Physiological Genomics, New England Journal of Medicine and Journal of Applied 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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