Laird Bloom
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Aging 2
- Immunology 11
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 6
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- H. Robert HorvitzValérie CalabroRichard O. HynesKenneth C. InghamOrla CunninghamWilliam J.J. FinlayTheodore J. BoritzkiAmy K. Patick
- Journals
- Journal of Translational Medicine (3 papers)The Journal of Immunology (3 papers)mAbs (2 papers)PLoS Biology (2 papers)Drug Discovery Today (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Laird Bloom
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Aging 95
- Immunology and Allergy 136
- Immunology 301
- Radiology, Nuclear Medicine and Imaging 303
- Virology 60
Countries citing papers authored by Laird Bloom
This map shows the geographic impact of Laird Bloom'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 Laird Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laird Bloom more than expected).
Fields of papers citing papers by Laird Bloom
This network shows the impact of papers produced by Laird Bloom. 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 Laird Bloom. The network helps show where Laird Bloom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laird Bloom, 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 | 2024 | 0 | |
| 2 | 2020 | 5 | |
| 3 | 2016 | 9 | |
| 4 | 2016 | 10 | |
| 5 | 2013 | 17 | |
| 6 | 2013 | 42 | |
| 7 | 2012 | 72 | |
| 8 | 2010 | 3 | |
| 9 | 2010 | 6 | |
| 10 | 2010 | 30 | |
| 11 | 2010 | 33 | |
| 12 | 2010 | 2 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 97 | |
| 15 | 2009 | 38 | |
| 16 | 2008 | 16 | |
| 17 | 2006 | 74 | |
| 18 | 1999 | 121 | |
| 19 | 1997 | 46 | |
| 20 | 1997 | 1 |
About Laird Bloom
Laird Bloom is a scholar working on Aging, Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Virology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers), Advanced Biosensing Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Cell Adhesion Molecules Research (3 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Aging (95 citations), Immunology and Allergy (136 citations), Immunology (301 citations), Radiology, Nuclear Medicine and Imaging (303 citations) and Virology (60 citations). Laird Bloom has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include H. Robert Horvitz, Valérie Calabro, Richard O. Hynes, Kenneth C. Ingham, Orla Cunningham, William J.J. Finlay, Theodore J. Boritzki, Amy K. Patick, Michael E. Hurwitz and Gian Garriga. Their work appears in journals such as Journal of Translational Medicine, The Journal of Immunology, mAbs, PLoS Biology and Drug Discovery Today.
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.