Isabel Latorre
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Aging top 5%
Papers in
- Immunology 10
- Immune Cell Function and Interaction 5
- Immune cells in cancer 3
- interferon and immune responses 2
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Julie AhringerRamnik J. XavierThomas A. DownX. Shirley LiuTao LiuPaulina Kolasinska-ZwierzMukund VarmaSinéad C. Corr
- Journals
- The Journal of Immunology (2 papers)Nature Genetics (1 paper)Journal of the American Chemical Society (1 paper)Canadian Journal of Plant Pathology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Isabel Latorre
19 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 1.0k
- Aging 71
- Molecular Biology 1.8k
- Biological Psychiatry 64
- Cancer Research 343
Countries citing papers authored by Isabel Latorre
This map shows the geographic impact of Isabel Latorre'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 Isabel Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Latorre more than expected).
Fields of papers citing papers by Isabel Latorre
This network shows the impact of papers produced by Isabel Latorre. 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 Isabel Latorre. The network helps show where Isabel Latorre may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel Latorre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 134 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 46 | |
| 8 | 2016 | 25 | |
| 9 | Succinate Dehydrogenase Supports Metabolic Repurposing of Mitochondria to Drive Inflammatory Macrophages Hit paper breakdown → | 2016 | 1624 |
| 10 | 2016 | 56 | |
| 11 | 2015 | 47 | |
| 12 | 2015 | 36 | |
| 13 | 2015 | 58 | |
| 14 | 2011 | 118 | |
| 15 | Differential chromatin marking of introns and expressed exons by H3K36me3 Hit paper breakdown → | 2009 | 503 |
| 16 | 2006 | 69 | |
| 17 | 2005 | 111 | |
| 18 | 2003 | 33 | |
| 19 | 2003 | 76 | |
| 20 | 1996 | 0 |
About Isabel Latorre
Isabel Latorre is a scholar working on Immunology, Neurology, Virology, Endocrinology and Molecular Biology, having authored 20 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Autophagy in Disease and Therapy (3 papers), Immune cells in cancer (3 papers), Genomics and Chromatin Dynamics (3 papers), interferon and immune responses (2 papers), Epigenetics and DNA Methylation (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Immunology (1.0k citations), Aging (71 citations), Molecular Biology (1.8k citations), Biological Psychiatry (64 citations) and Cancer Research (343 citations). Isabel Latorre has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Julie Ahringer, Ramnik J. Xavier, Thomas A. Down, X. Shirley Liu, Tao Liu, Paulina Kolasinska-Zwierz, Mukund Varma, Sinéad C. Corr, J. Henry M. Däbritz and Eyal Gottlieb. Their work appears in journals such as The Journal of Immunology, Nature Genetics, Journal of the American Chemical Society, Canadian Journal of Plant Pathology and Cell Reports.
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.