Inés Santisteban
- Molecular Biology
- Genetics top 5%
- Immunology top 10%
- Epidemiology top 10%
- Oncology
- Co-authors
- Michael S. HershfieldFrancisco X. Arredondo-VegaF X Arredondo-VegaSusan J. KellySue PoveyHoward M. LedermanIan PhillipsElizabeth A. Shephard
- Topics
- Cytomegalovirus and herpesvirus research (19 papers)Immunodeficiency and Autoimmune Disorders (17 papers)Virus-based gene therapy research (11 papers)
- Cited by
- PhysiologyImmunologyGenetics
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Inés Santisteban
37 papers receiving 976 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 378
- Genetics 347
- Immunology 342
- Epidemiology 314
- Oncology 221
Countries citing papers authored by Inés Santisteban
This map shows the geographic impact of Inés Santisteban'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 Inés Santisteban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inés Santisteban more than expected).
Fields of papers citing papers by Inés Santisteban
This network shows the impact of papers produced by Inés Santisteban. 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 Inés Santisteban. The network helps show where Inés Santisteban may publish in the future.
Co-authorship network of co-authors of Inés Santisteban
This figure shows the co-authorship network connecting the top 25 collaborators of Inés Santisteban. A scholar is included among the top collaborators of Inés Santisteban 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 Inés Santisteban. Inés Santisteban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 22 | |
| 3 | 17 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 54 | |
| 10 | 83 | |
| 11 | 77 | |
| 12 | 45 | |
| 13 | 16 | |
| 14 | 72 | |
| 15 | 27 | |
| 16 | 32 | |
| 17 | 6 | |
| 18 | 16 | |
| 19 | 24 | |
| 20 | 47 |
About Inés Santisteban
Inés Santisteban is a scholar working on Physiology, Immunology and Epidemiology, having authored 38 papers that have together received 1000 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (19 papers), Immunodeficiency and Autoimmune Disorders (17 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Physiology (150 citations), Immunology (342 citations) and Genetics (347 citations). Inés Santisteban has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Michael S. Hershfield, Francisco X. Arredondo-Vega, F X Arredondo-Vega, Susan J. Kelly, Sue Povey, Howard M. Lederman, Ian Phillips, Elizabeth A. Shephard, S Kelly and Eva Richard. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.