Isabel DeLaura
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Virus-based gene therapy research
Papers in
- Surgery 17
- Xenotransplantation and immune response 5
- Transplantation: Methods and Outcomes 4
- Organ Transplantation Techniques and Outcomes 4
- Anesthesia and Pain Management 3
- Co-authors
- Imran J. Anwar (16 shared papers)Qimeng Gao (11 shared papers)Joseph M. Ladowski (12 shared papers)Carlos F. Narváez (4 shared papers)Jean Kwun (11 shared papers)Stuart J. Knechtle (11 shared papers)Eric McLaughlin (1 shared paper)John A. McNulty (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)Science Translational Medicine (3 papers)Xenotransplantation (3 papers)American Journal of Transplantation (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesColombia
In The Last Decade
Isabel DeLaura
33 papers receiving 344 citations
Peers
Comparison fields: 5 of 51
- Transplantation 40
- Genetics 102
- Oncology 87
- Immunology 65
- Surgery 111
Countries citing papers authored by Isabel DeLaura
This map shows the geographic impact of Isabel DeLaura'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 DeLaura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel DeLaura more than expected).
Fields of papers citing papers by Isabel DeLaura
This network shows the impact of papers produced by Isabel DeLaura. 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 DeLaura. The network helps show where Isabel DeLaura may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel DeLaura, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2023 | 35 | |
| 3 | 2019 | 21 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2025 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 5 |
About Isabel DeLaura
Isabel DeLaura is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Transplantation, Genetics and Immunology, having authored 36 papers that have together received 347 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Xenotransplantation and immune response (5 papers), Transplantation: Methods and Outcomes (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Anesthesia and Pain Management (3 papers), Virus-based gene therapy research (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Transplantation (40 citations), Genetics (102 citations), Oncology (87 citations), Immunology (65 citations) and Surgery (111 citations). Isabel DeLaura has collaborated with scholars based in United States and Colombia. Frequent co-authors include Imran J. Anwar, Qimeng Gao, Joseph M. Ladowski, Carlos F. Narváez, Jean Kwun, Stuart J. Knechtle, Eric McLaughlin, John A. McNulty, Carmela Passaro and Hiroshi Nakashima. Their work appears in journals such as Frontiers in Immunology, Science Translational Medicine, Xenotransplantation, American Journal of Transplantation and Clinical Cancer Research.
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.