Andrew Baird

331 papers receiving 20.9k citations

Hit Papers

Distribution of basic fibroblast growth factor in the 18-day rat fetus: localization in the basement membranes of diverse tissues. 1990 · 475 citations
4751984202619982012200400600

Peers

Andrew Baird
Comparison fields: 5 of 174
  • Developmental Neuroscience 1.9k
  • Cell Biology 4.3k
  • Cellular and Molecular Neuroscience 3.6k
  • Molecular Biology 12.5k
  • Immunology and Allergy 992
Replace András Nagy with:
András Nagy Canada
Makoto M. Taketo Japan
Yasuo Uchiyama Japan
David M. Valenzuela United States
Carmen Birchmeier Germany
David J. Glass United States
Erwin F. Wagner Austria
Daniel Metzger France
Urban Lendahl Sweden
Philippe Soriano United States
Andrew Baird relative to András Nagy Canada András Nagy's profile →
Citations per field
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András Nagy · 1×
Citations per year

Countries citing papers authored by Andrew Baird

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202121
2 20164
3 20164
4 20156
5 201455
6 201254
7 201224
8 201210
9 201123
10 201155
11 201050
12 201045
13 201091
14
Immunohistochemical evidence that Argillin, the product of the ECRG4 gene, encodes a novel neuroendocrine peptide
20094
15 199441
16 199114
17 1991184
18 1991307
19 19864
20 198137

About Andrew Baird

Andrew Baird is a scholar working on Neurology, Behavioral Neuroscience, Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 333 papers that have together received 21.8k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (90 papers), Growth Hormone and Insulin-like Growth Factors (34 papers), Proteoglycans and glycosaminoglycans research (34 papers), Cancer-related gene regulation (19 papers), Cancer, Hypoxia, and Metabolism (19 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Nerve injury and regeneration (18 papers) and Virus-based gene therapy research (17 papers). The work is most often cited by research in Developmental Neuroscience (1.9k citations), Cell Biology (4.3k citations), Cellular and Molecular Neuroscience (3.6k citations), Molecular Biology (12.5k citations) and Immunology and Allergy (992 citations). Andrew Baird has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nicholas Ling, Roger Guillemin, Peter Böhlen, Denis Gospodarowicz, Patricia A. Walicke, Frederick Esch, Sally A. Frautschy, Naoto Ueno, Ann Logan and Brian P. Eliceiri. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences and Regulatory Peptides.

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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