Isabel DeLaura
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Virus-based gene therapy research
Papers in
- Surgery 20
- Transplantation: Methods and Outcomes 6
- Organ Transplantation Techniques and Outcomes 5
- Xenotransplantation and immune response 4
- Co-authors
- Imran J. Anwar (16 shared papers)Qimeng Gao (10 shared papers)Joseph M. Ladowski (11 shared papers)Carlos F. Narváez (4 shared papers)Vivek Bhaskaran (1 shared paper)William F. Goins (1 shared paper)Sean Lawler (1 shared paper)Eric McLaughlin (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)Science Translational Medicine (3 papers)Xenotransplantation (2 papers)American Journal of Transplantation (2 papers)Cytokine (1 paper)
- Partner nations
- United StatesColombia
In The Last Decade
Isabel DeLaura
32 papers receiving 303 citations
Peers
Comparison fields: 5 of 57
- Transplantation 45
- Genetics 106
- Immunology 70
- Oncology 89
- Surgery 117
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | 2023 | 26 | |
| 3 | 2019 | 20 | |
| 4 | 2023 | 19 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 3 |
About Isabel DeLaura
Isabel DeLaura is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Transplantation, Epidemiology and Immunology, having authored 35 papers that have together received 308 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Transplantation: Methods and Outcomes (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Complement system in diseases (4 papers), Xenotransplantation and immune response (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Virus-based gene therapy research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Transplantation (45 citations), Genetics (106 citations), Immunology (70 citations), Oncology (89 citations) and Surgery (117 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, Vivek Bhaskaran, William F. Goins, Sean Lawler, Eric McLaughlin, Carmela Passaro and Marco Mineo. Their work appears in journals such as Frontiers in Immunology, Science Translational Medicine, Xenotransplantation, American Journal of Transplantation and Cytokine.
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.