Miriam Ejarque
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Inflammatory Bowel Disease
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
- Physiology 14
- Adipose Tissue and Metabolism 12
- Diet and metabolism studies 4
- Surgery 10
- Pancreatic function and diabetes 7
- Co-authors
- Sonia Fernández‐Veledo (22 shared papers)Joan Vendrell (22 shared papers)Carolina Serena (13 shared papers)Catalina Núñez‐Roa (13 shared papers)Victòria Ceperuelo‐Mallafré (9 shared papers)Noelia Keiran (5 shared papers)Elsa Maymó‐Masip (12 shared papers)Rosa Fradera (2 shared papers)
- Journals
- Scientific Reports (3 papers)Stem Cells Translational Medicine (2 papers)PLoS ONE (2 papers)Clinical Epigenetics (1 paper)Differentiation (1 paper)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Miriam Ejarque
29 papers receiving 936 citations
Peers
Comparison fields: 5 of 85
- Genetics 178
- Physiology 247
- Immunology 187
- Epidemiology 209
- Endocrinology, Diabetes and Metabolism 90
Countries citing papers authored by Miriam Ejarque
This map shows the geographic impact of Miriam Ejarque'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 Miriam Ejarque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Ejarque more than expected).
Fields of papers citing papers by Miriam Ejarque
This network shows the impact of papers produced by Miriam Ejarque. 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 Miriam Ejarque. The network helps show where Miriam Ejarque may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Ejarque, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2016 | 146 | |
| 3 | 2016 | 97 | |
| 4 | 2015 | 56 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 47 | |
| 7 | 2019 | 38 | |
| 8 | 2013 | 32 | |
| 9 | 2016 | 30 | |
| 10 | 2011 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2015 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2013 | 17 | |
| 16 | 2019 | 14 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 10 |
About Miriam Ejarque
Miriam Ejarque is a scholar working on Physiology, Surgery, Molecular Biology, Epidemiology and Genetics, having authored 29 papers that have together received 941 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Pancreatic function and diabetes (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Epigenetics and DNA Methylation (4 papers), Diet and metabolism studies (4 papers), Mesenchymal stem cell research (3 papers), Diabetes and associated disorders (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Genetics (178 citations), Physiology (247 citations), Immunology (187 citations), Epidemiology (209 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Miriam Ejarque has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Sonia Fernández‐Veledo, Joan Vendrell, Carolina Serena, Catalina Núñez‐Roa, Victòria Ceperuelo‐Mallafré, Noelia Keiran, Elsa Maymó‐Masip, Rosa Fradera, Kelly Roche and António Zorzano. Their work appears in journals such as Scientific Reports, Stem Cells Translational Medicine, PLoS ONE, Clinical Epigenetics and Differentiation.
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.