Matthew J. Lazzara
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 4
- Molecular Biology top 10%
- Protein Tyrosine Phosphatases 8
- Glycosylation and Glycoproteins Research 6
- Melanoma and MAPK Pathways 4
- Oncology top 10%
- HER2/EGFR in Cancer Research 7
- Cancer Cells and Metastasis 6
- Cell Biology top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- William M. DeenJanine M. BuonatoBryan D. MyersGlen BoltonNisha SosaleDouglas A. LauffenburgerAustin W. BoeschAlice M. Walsh
- Cited by
- NephrologyMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Matthew J. Lazzara
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Nephrology 275
- Molecular Biology 805
- Oncology 319
- Cell Biology 163
- Cancer Research 137
Countries citing papers authored by Matthew J. Lazzara
This map shows the geographic impact of Matthew J. Lazzara'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 J. Lazzara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Lazzara more than expected).
Fields of papers citing papers by Matthew J. Lazzara
This network shows the impact of papers produced by Matthew J. Lazzara. 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 J. Lazzara. The network helps show where Matthew J. Lazzara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Lazzara, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 10 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 3 | |
| 11 | 2014 | 42 | |
| 12 | 2013 | 135 | |
| 13 | 2012 | 34 | |
| 14 | 2012 | 26 | |
| 15 | 2010 | 49 | |
| 16 | 2008 | 22 | |
| 17 | 2006 | 58 | |
| 18 | 2006 | 30 | |
| 19 | 2004 | 7 | |
| 20 | 2003 | 26 |
About Matthew J. Lazzara
Matthew J. Lazzara is a scholar working on Nephrology, Oncology and Molecular Biology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Cancer Cells and Metastasis (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Nephrology (275 citations), Molecular Biology (805 citations) and Oncology (319 citations). Matthew J. Lazzara has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include William M. Deen, Janine M. Buonato, Bryan D. Myers, Glen Bolton, Nisha Sosale, Douglas A. Lauffenburger, Austin W. Boesch, Alice M. Walsh, Deepak Nihalani and Daniel Blankschtein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular 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.