Esperanza Font–Montgomery
- Genetics top 10%
- Molecular Biology
- Surgery
- Pediatrics, Perinatology and Child Health
- Renewable Energy, Sustainability and the Environment
- Co-authors
- William A. GahlJoy BryantMeral Gunay‐AygunM. TuchmanTheo HellerPeter L. ChoykeKailash DaryananiParvathi Mohan
- Topics
- Genetic and Kidney Cyst Diseases (4 papers)Renal and related cancers (4 papers)Lysosomal Storage Disorders Research (4 papers)
- Journals
- The LancetJournal of Pediatric Gastroenterology and NutritionMolecular Genetics and Metabolism
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Esperanza Font–Montgomery
14 papers receiving 329 citations
Peers
Comparison fields: 5 of 56
- Genetics 193
- Molecular Biology 183
- Surgery 60
- Pediatrics, Perinatology and Child Health 59
- Renewable Energy, Sustainability and the Environment 47
Countries citing papers authored by Esperanza Font–Montgomery
This map shows the geographic impact of Esperanza Font–Montgomery'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 Esperanza Font–Montgomery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esperanza Font–Montgomery more than expected).
Fields of papers citing papers by Esperanza Font–Montgomery
This network shows the impact of papers produced by Esperanza Font–Montgomery. 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 Esperanza Font–Montgomery. The network helps show where Esperanza Font–Montgomery may publish in the future.
Co-authorship network of co-authors of Esperanza Font–Montgomery
This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Font–Montgomery. A scholar is included among the top collaborators of Esperanza Font–Montgomery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esperanza Font–Montgomery. Esperanza Font–Montgomery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 99 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 66 | |
| 12 | 69 | |
| 13 | 22 | |
| 14 | 10 |
About Esperanza Font–Montgomery
Esperanza Font–Montgomery is a scholar working on Clinical Biochemistry, Genetics and Physiology, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (4 papers), Renal and related cancers (4 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Genetics (193 citations), Clinical Biochemistry (37 citations) and Pediatrics, Perinatology and Child Health (59 citations). Esperanza Font–Montgomery has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include William A. Gahl, Joy Bryant, Meral Gunay‐Aygun, M. Tuchman, Theo Heller, Peter L. Choyke, Kailash Daryanani, Parvathi Mohan, Barış Türkbey and Hailey Edwards. Their work appears in journals such as The Lancet, Journal of Pediatric Gastroenterology and Nutrition and Molecular Genetics and 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.