Anna Novials
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Surgery 49
- Pancreatic function and diabetes 47
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- Diabetes Management and Research 20
- Diabetes Treatment and Management 11
- Co-authors
- Marcelina Párrizas (16 shared papers)Carlos Castaño (17 shared papers)Ramón Gomis (22 shared papers)Susana G. Kalko (3 shared papers)Sílvia Canivell (11 shared papers)Joel Montané (9 shared papers)Antonio Ceriello (8 shared papers)Ana Chico (5 shared papers)
- Journals
- PLoS ONE (7 papers)Diabetologia (7 papers)Diabetes (6 papers)Diabetes Research and Clinical Practice (5 papers)Diabetes Care (4 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Anna Novials
109 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 883
- Cancer Research 514
- Physiology 663
- Surgery 876
- Cell Biology 337
Countries citing papers authored by Anna Novials
This map shows the geographic impact of Anna Novials'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 Anna Novials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Novials more than expected).
Fields of papers citing papers by Anna Novials
This network shows the impact of papers produced by Anna Novials. 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 Anna Novials. The network helps show where Anna Novials may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Novials, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 326 | |
| 2 | 2004 | 187 | |
| 3 | 2003 | 187 | |
| 4 | 2013 | 174 | |
| 5 | 2012 | 171 | |
| 6 | 2014 | 138 | |
| 7 | 2014 | 131 | |
| 8 | 2012 | 126 | |
| 9 | 2007 | 115 | |
| 10 | 2020 | 114 | |
| 11 | 2016 | 112 | |
| 12 | 2008 | 102 | |
| 13 | 2018 | 94 | |
| 14 | 2012 | 69 | |
| 15 | 2014 | 67 | |
| 16 | 2016 | 62 | |
| 17 | 2013 | 59 | |
| 18 | 2016 | 58 | |
| 19 | 2014 | 55 | |
| 20 | 2018 | 55 |
About Anna Novials
Anna Novials is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Physiology, having authored 115 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (47 papers), Diabetes and associated disorders (22 papers), Diabetes Management and Research (20 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Diabetes Treatment and Management (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Extracellular vesicles in disease (9 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (883 citations), Cancer Research (514 citations), Physiology (663 citations), Surgery (876 citations) and Cell Biology (337 citations). Anna Novials has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Marcelina Párrizas, Carlos Castaño, Ramón Gomis, Susana G. Kalko, Sílvia Canivell, Joel Montané, Antonio Ceriello, Ana Chico, Gemma Pujadas and Lucia La Sala. Their work appears in journals such as PLoS ONE, Diabetologia, Diabetes, Diabetes Research and Clinical Practice and Diabetes Care.
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.