Cristina Mega
Impact in
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- Diabetes Treatment and Management
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
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- Vector-borne infectious diseases 4
- Parasites and Host Interactions 2
-
- Diabetes Treatment and Management 6
- Co-authors
- Rosa Fernandes (6 shared papers)Flávio Reis (6 shared papers)Edite Teixeira‐Lemos (7 shared papers)Frederico Teixeira (5 shared papers)Helena Vala (11 shared papers)Paulo Rodrigues‐Santos (3 shared papers)Jorge Oliveira (2 shared papers)Filipa Mascarenhas‐Melo (1 shared paper)
- Journals
- Experimental Diabetes Research (1 paper)Diabetology & Metabolic Syndrome (1 paper)Animals (1 paper)Transboundary and Emerging Diseases (1 paper)Vector-Borne and Zoonotic Diseases (1 paper)
- Partner nations
- PortugalUnited States
In The Last Decade
Cristina Mega
14 papers receiving 559 citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 367
- Nephrology 51
- Clinical Biochemistry 46
- Oncology 157
- Parasitology 30
Countries citing papers authored by Cristina Mega
This map shows the geographic impact of Cristina Mega'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 Cristina Mega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Mega more than expected).
Fields of papers citing papers by Cristina Mega
This network shows the impact of papers produced by Cristina Mega. 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 Cristina Mega. The network helps show where Cristina Mega may publish in the future.
Co-authors
The 25 scholars most cited alongside Cristina Mega, 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 | 2010 | 155 | |
| 2 | 2011 | 136 | |
| 3 | 2014 | 102 | |
| 4 | 2015 | 78 | |
| 5 | 2017 | 30 | |
| 6 | 2014 | 26 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2017 | 1 |
About Cristina Mega
Cristina Mega is a scholar working on Parasitology, Endocrinology, Diabetes and Metabolism, Ecology, Evolution, Behavior and Systematics, Oncology and Small Animals, having authored 14 papers that have together received 573 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Peptidase Inhibition and Analysis (4 papers), Vector-Borne Animal Diseases (4 papers), Vector-borne infectious diseases (4 papers), Helminth infection and control (3 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (367 citations), Nephrology (51 citations), Clinical Biochemistry (46 citations), Oncology (157 citations) and Parasitology (30 citations). Cristina Mega has collaborated with scholars based in Portugal and United States. Frequent co-authors include Rosa Fernandes, Flávio Reis, Edite Teixeira‐Lemos, Frederico Teixeira, Helena Vala, Paulo Rodrigues‐Santos, Jorge Oliveira, Filipa Mascarenhas‐Melo, Carlos Ribeiro and Ricardo Godinho. Their work appears in journals such as Experimental Diabetes Research, Diabetology & Metabolic Syndrome, Animals, Transboundary and Emerging Diseases and Vector-Borne and Zoonotic Diseases.
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.