Maria Lamar
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
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- Cancer Mechanisms and Therapy
Papers in
- Hepatology 10
- Liver physiology and pathology 8
- Hepatocellular Carcinoma Treatment and Prognosis 8
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- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Brian Schwartz (14 shared papers)Armando Santoro (12 shared papers)Giovanni Abbadessa (11 shared papers)Lorenza Rimassa (8 shared papers)Matteo Simonelli (4 shared papers)Paolo Andrea Zucali (4 shared papers)Ronald E. Savage (4 shared papers)Bruno Daniele (7 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Oncotarget (2 papers)Investigational New Drugs (1 paper)European Journal of Cancer (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Maria Lamar
16 papers receiving 320 citations
Peers
Comparison fields: 5 of 26
- Hepatology 231
- Pathology and Forensic Medicine 93
- Cancer Research 45
- Oncology 81
- Epidemiology 55
Countries citing papers authored by Maria Lamar
This map shows the geographic impact of Maria Lamar'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 Maria Lamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lamar more than expected).
Fields of papers citing papers by Maria Lamar
This network shows the impact of papers produced by Maria Lamar. 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 Maria Lamar. The network helps show where Maria Lamar may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Lamar, 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 | 2013 | 67 | |
| 2 | 2016 | 51 | |
| 3 | 2014 | 49 | |
| 4 | 2017 | 33 | |
| 5 | 2012 | 25 | |
| 6 | 2017 | 20 | |
| 7 | 2012 | 15 | |
| 8 | 2010 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2011 | 8 | |
| 12 | 2016 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 4 | |
| 16 | 2014 | 2 |
About Maria Lamar
Maria Lamar is a scholar working on Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Mechanisms and Therapy (2 papers), Lung Cancer Treatments and Mutations (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Hepatology (231 citations), Pathology and Forensic Medicine (93 citations), Cancer Research (45 citations), Oncology (81 citations) and Epidemiology (55 citations). Maria Lamar has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Brian Schwartz, Armando Santoro, Giovanni Abbadessa, Lorenza Rimassa, Matteo Simonelli, Paolo Andrea Zucali, Ronald E. Savage, Bruno Daniele, Jordi Bruix and Camillo Porta. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, Investigational New Drugs, European Journal of Cancer and Annals of Oncology.
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.