Daniela Simian
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
-
- Microscopic Colitis
Papers in ⓘ
- Epidemiology 36
- Microscopic Colitis 29
- Liver Disease Diagnosis and Treatment 4
- Autoimmune and Inflammatory Disorders 4
- Genetics 33
- Inflammatory Bowel Disease 33
- Co-authors
- Rodrigo Quera (44 shared papers)Udo Kronberg (30 shared papers)Carolina Figueroa (17 shared papers)Karen Dubois‐Camacho (5 shared papers)Marjorie De la Fuente (7 shared papers)Glauben Landskron (4 shared papers)Beatriz Iade (1 shared paper)José G. Ferraz (2 shared papers)
- Journals
- Inflammatory Bowel Diseases (3 papers)Tumor Biology (2 papers)Cancer Research (2 papers)Revista médica de Chile (17 papers)The Pediatric Infectious Disease Journal (1 paper)
- Partner nations
- ChileUnited StatesUnited Kingdom
In The Last Decade
Daniela Simian
57 papers receiving 643 citations
Peers
Comparison fields: 5 of 92
- Genetics 270
- Epidemiology 248
- Gastroenterology 39
- Modeling and Simulation 31
- Infectious Diseases 108
Countries citing papers authored by Daniela Simian
This map shows the geographic impact of Daniela Simian'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 Daniela Simian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Simian more than expected).
Fields of papers citing papers by Daniela Simian
This network shows the impact of papers produced by Daniela Simian. 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 Daniela Simian. The network helps show where Daniela Simian may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Simian, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 118 | |
| 2 | 2018 | 99 | |
| 3 | 2020 | 63 | |
| 4 | 2016 | 47 | |
| 5 | 2019 | 39 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 31 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2020 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2018 | 7 |
About Daniela Simian
Daniela Simian is a scholar working on Epidemiology, Genetics, Surgery, Oncology and Infectious Diseases, having authored 62 papers that have together received 659 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (33 papers), Microscopic Colitis (29 papers), Eosinophilic Esophagitis (12 papers), Gastrointestinal motility and disorders (4 papers), COVID-19 Clinical Research Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Gut microbiota and health (4 papers) and Autoimmune and Inflammatory Disorders (4 papers). The work is most often cited by research in Genetics (270 citations), Epidemiology (248 citations), Gastroenterology (39 citations), Modeling and Simulation (31 citations) and Infectious Diseases (108 citations). Daniela Simian has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Rodrigo Quera, Udo Kronberg, Carolina Figueroa, Karen Dubois‐Camacho, Marjorie De la Fuente, Glauben Landskron, Beatriz Iade, José G. Ferraz, Remo Panaccione and Rogério Saad-Hossne. Their work appears in journals such as Inflammatory Bowel Diseases, Tumor Biology, Cancer Research, Revista médica de Chile and The Pediatric Infectious Disease Journal.
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.