Eva Lau
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Physiology top 10%
- Diet and metabolism studies
Papers in
-
- Gut microbiota and health 5
- Surgery 12
- Bariatric Surgery and Outcomes 8
- Co-authors
- Davide Carvalho (24 shared papers)Paula Freitas (23 shared papers)Antony Bacic (1 shared paper)Diogo Pestana (1 shared paper)Conceição Calhau (1 shared paper)Cláudia Marques (1 shared paper)Donald A. Vessey (7 shared papers)João Sérgio Neves (11 shared papers)
- Journals
- Journal of Biochemical and Molecular Toxicology (5 papers)Obesity Surgery (5 papers)Diabetology & Metabolic Syndrome (2 papers)Scientific Reports (1 paper)Nutrition & Metabolism (1 paper)
- Partner nations
- PortugalUnited StatesAustralia
In The Last Decade
Eva Lau
37 papers receiving 742 citations
Peers
Comparison fields: 5 of 89
- Hepatology 71
- Physiology 210
- Endocrinology, Diabetes and Metabolism 122
- Biological Psychiatry 14
- Epidemiology 177
Countries citing papers authored by Eva Lau
This map shows the geographic impact of Eva Lau'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 Eva Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Lau more than expected).
Fields of papers citing papers by Eva Lau
This network shows the impact of papers produced by Eva Lau. 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 Eva Lau. The network helps show where Eva Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Lau, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2015 | 64 | |
| 3 | 2015 | 54 | |
| 4 | 2019 | 44 | |
| 5 | 2015 | 41 | |
| 6 | 2017 | 41 | |
| 7 | 2016 | 40 | |
| 8 | 1993 | 40 | |
| 9 | 2005 | 37 | |
| 10 | Monoclonal antibodies against partially deglycosylated colon cancer mucin that recognize Tn antigen. | 1993 | 27 |
| 11 | 2003 | 26 | |
| 12 | 2021 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 1998 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 1993 | 17 | |
| 17 | 2006 | 16 | |
| 18 | 2015 | 13 | |
| 19 | 2016 | 13 | |
| 20 | 2015 | 13 |
About Eva Lau
Eva Lau is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 41 papers that have together received 760 indexed citations. Recurring topics across this work include Diet and metabolism studies (9 papers), Bariatric Surgery and Outcomes (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Gut microbiota and health (5 papers), Hepatitis B Virus Studies (3 papers), Metabolism and Genetic Disorders (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Hepatology (71 citations), Physiology (210 citations), Endocrinology, Diabetes and Metabolism (122 citations), Biological Psychiatry (14 citations) and Epidemiology (177 citations). Eva Lau has collaborated with scholars based in Portugal, United States and Australia. Frequent co-authors include Davide Carvalho, Paula Freitas, Antony Bacic, Diogo Pestana, Conceição Calhau, Cláudia Marques, Donald A. Vessey, João Sérgio Neves, Michael S. P. Kelley and Manuel Ferreira‐Magalhães. Their work appears in journals such as Journal of Biochemical and Molecular Toxicology, Obesity Surgery, Diabetology & Metabolic Syndrome, Scientific Reports and Nutrition & Metabolism.
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.