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)Anagha Sawant (4 shared papers)Andrew E. Armitage (4 shared papers)Edward R. LaVallie (4 shared papers)
- Journals
- Blood (4 papers)mAbs (2 papers)Nature (2 papers)Clinical Science (2 papers)Radiology (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Matthew Lambert
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Endocrinology 181
- Hematology 230
- Genetics 190
- 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 327 | |
| 2 | 2018 | 208 | |
| 3 | 2020 | 122 | |
| 4 | 2016 | 81 | |
| 5 | 2008 | 74 | |
| 6 | 2011 | 71 | |
| 7 | 2020 | 57 | |
| 8 | 2009 | 50 | |
| 9 | 2009 | 43 | |
| 10 | 2013 | 42 | |
| 11 | 2007 | 34 | |
| 12 | 2003 | 33 | |
| 13 | 2003 | 22 | |
| 14 | 1965 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2016 | 16 | |
| 19 | 2014 | 15 | |
| 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 Genetics, having authored 43 papers that have together received 1.4k 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 (181 citations), Hematology (230 citations), Genetics (190 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, Anagha Sawant, Andrew E. Armitage, Edward R. LaVallie, João Arezes and Simon J. Draper. Their work appears in journals such as Blood, mAbs, Nature, Clinical Science and Radiology.
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.