Matthew Lambert
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in
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- Protein purification and stability 4
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- Monoclonal and Polyclonal Antibodies Research 6
- Cardiac Imaging and Diagnostics 4
- Co-authors
- Stephen G. J. Smith (4 shared papers)Robert P. Fagan (2 shared papers)Vivienne Mahon (1 shared paper)Orla Cunningham (11 shared papers)G. W. Pennington (3 shared papers)Kirsty McHugh (4 shared papers)Andrew E. Armitage (4 shared papers)Edward R. LaVallie (4 shared papers)
- Journals
- Blood (4 papers)Radiology (2 papers)mAbs (2 papers)Clinical Science (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Matthew Lambert
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Endocrinology 187
- Hematology 239
- Genetics 201
- Molecular Medicine 77
- Microbiology 66
Countries citing papers authored by Matthew Lambert
This map shows the geographic impact of Matthew Lambert'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 Matthew Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lambert more than expected).
Fields of papers citing papers by Matthew Lambert
This network shows the impact of papers produced by Matthew Lambert. 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 Matthew Lambert. The network helps show where Matthew Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 331 | |
| 2 | 2018 | 216 | |
| 3 | 2020 | 122 | |
| 4 | 2016 | 88 | |
| 5 | 2008 | 80 | |
| 6 | 2011 | 73 | |
| 7 | 2020 | 57 | |
| 8 | 2009 | 53 | |
| 9 | 2009 | 46 | |
| 10 | 2013 | 42 | |
| 11 | 2007 | 35 | |
| 12 | 2003 | 33 | |
| 13 | 1965 | 25 | |
| 14 | 2003 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2022 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2014 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2015 | 14 |
About Matthew Lambert
Matthew Lambert is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Hematology and Immunology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Hormonal and reproductive studies (4 papers), Protein purification and stability (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers), Cardiac Imaging and Diagnostics (4 papers), T-cell and B-cell Immunology (4 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Endocrinology (187 citations), Hematology (239 citations), Genetics (201 citations), Molecular Medicine (77 citations) and Microbiology (66 citations). Matthew Lambert has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Stephen G. J. Smith, Robert P. Fagan, Vivienne Mahon, Orla Cunningham, G. W. Pennington, Kirsty McHugh, Andrew E. Armitage, Edward R. LaVallie, João Arezes and Anagha Sawant. Their work appears in journals such as Blood, Radiology, mAbs, Clinical Science and Journal of Molecular Biology.
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.