Dan Baird
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
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- Cell Adhesion Molecules Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- Protein Degradation and Inhibitors 1
- Fungal and yeast genetics research 1
- Glycosylation and Glycoproteins Research 1
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Qiyu Feng (5 shared papers)Richard A. Cerione (4 shared papers)Christopher J. Stefan (1 shared paper)Scott D. Emr (1 shared paper)Sabine Weys (1 shared paper)Anjon Audhya (1 shared paper)Jianbin Wang (1 shared paper)Jun‐Lin Guan (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)The EMBO Journal (1 paper)Nature Cell Biology (1 paper)Current Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Dan Baird
6 papers receiving 443 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 209
- Immunology and Allergy 40
- Molecular Biology 301
- Physiology 19
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Dan Baird
This map shows the geographic impact of Dan 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 Dan Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Baird more than expected).
Fields of papers citing papers by Dan Baird
This network shows the impact of papers produced by Dan 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 Dan Baird. The network helps show where Dan Baird may publish in the future.
Co-authors
The 17 scholars most cited alongside Dan Baird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 141 | |
| 2 | 2008 | 121 | |
| 3 | 2006 | 87 | |
| 4 | 2007 | 55 | |
| 5 | 2010 | 40 | |
| 6 | signal transduction Novel regulatory mechanisms for the Dbl family guanine nucleotide exchange factor Cool-2/alpha-Pix | 2004 | 6 |
About Dan Baird
Dan Baird is a scholar working on Molecular Biology, Surgery, Oncology, Management Science and Operations Research and Cell Biology, having authored 6 papers that have together received 450 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Pancreatic function and diabetes (1 paper), Protein Degradation and Inhibitors (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Cell Adhesion Molecules Research (1 paper), Fungal and yeast genetics research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (209 citations), Immunology and Allergy (40 citations), Molecular Biology (301 citations), Physiology (19 citations) and Cellular and Molecular Neuroscience (45 citations). Dan Baird has collaborated with scholars based in United States and France. Frequent co-authors include Qiyu Feng, Richard A. Cerione, Christopher J. Stefan, Scott D. Emr, Sabine Weys, Anjon Audhya, Jianbin Wang, Jun‐Lin Guan, Peng Xu and Thi Ly. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal, Nature Cell Biology, Current Biology and Journal of Biological Chemistry.
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.