Matthew Lambert
- Endocrinology top 2%
- Hematology top 5%
- Iron Metabolism and Disorders 4
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 4
- Molecular Medicine top 5%
- Microbiology top 10%
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- Cardiovascular Function and Risk Factors 9
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- Cardiac Imaging and Diagnostics 7
- Monoclonal and Polyclonal Antibodies Research 6
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- Protein purification and stability 4
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- Hormonal and reproductive studies 4
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- T-cell and B-cell Immunology 4
- Co-authors
- Stephen G. J. SmithRobert P. FaganVivienne MahonOrla CunninghamG. W. PenningtonSimon J. DraperJoão ArezesAndrew E. Armitage
- Cited by
- EndocrinologyHematologyGenetics
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Matthew Lambert
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 197
- Hematology 239
- Genetics 217
- Molecular Medicine 83
- Microbiology 68
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 18 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 115 | |
| 7 | 2020 | 11 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 78 | |
| 11 | 2015 | 14 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 42 | |
| 14 | 2009 | 43 | |
| 15 | 2008 | 72 | |
| 16 | 2007 | 34 | |
| 17 | 2005 | 10 | |
| 18 | 2004 | 4 | |
| 19 | 2000 | 10 | |
| 20 | 1999 | 9 |
About Matthew Lambert
Matthew Lambert is a scholar working on Endocrinology, Cardiology and Cardiovascular Medicine, Genetics, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (4 papers), Hormonal and reproductive studies (4 papers), Iron Metabolism and Disorders (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Endocrinology (197 citations), Hematology (239 citations), Genetics (217 citations), Molecular Medicine (83 citations) and Microbiology (68 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, Simon J. Draper, João Arezes, Andrew E. Armitage, Edward R. LaVallie and Doris Quinkert. Their work appears in journals such as Blood, Nature, mAbs, Radiology and Clinical Science.
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.