Michael de Vera
Impact in
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Fungal Infections and Studies 2
- Liver Disease Diagnosis and Treatment 2
- Cytomegalovirus and herpesvirus research 2
- Surgery 5
- Organ Transplantation Techniques and Outcomes 4
- Co-authors
- Charles K. Brown (1 shared paper)Timothy R. Billiar (1 shared paper)Michael T. Lotze (1 shared paper)Anna Rubartelli (1 shared paper)Herbert J. Zeh (1 shared paper)Shahid Husain (2 shared papers)Thomas V. Cacciarelli (2 shared papers)Timothy Gayowski (2 shared papers)
- Journals
- Transplantation (4 papers)Clinical Cancer Research (1 paper)Journal of Endourology (1 paper)Medicine (1 paper)Clinical Kidney Journal (1 paper)
- Partner nations
- United StatesItalyEgypt
In The Last Decade
Michael de Vera
17 papers receiving 666 citations
Peers
Comparison fields: 5 of 78
- Clinical Biochemistry 183
- Transplantation 71
- Equine 35
- Immunology 147
- Infectious Diseases 128
Countries citing papers authored by Michael de Vera
This map shows the geographic impact of Michael de Vera'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 Michael de Vera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael de Vera more than expected).
Fields of papers citing papers by Michael de Vera
This network shows the impact of papers produced by Michael de Vera. 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 Michael de Vera. The network helps show where Michael de Vera may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael de Vera, 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 | 2007 | 307 | |
| 2 | 2004 | 80 | |
| 3 | 2007 | 62 | |
| 4 | 2007 | 57 | |
| 5 | 2010 | 44 | |
| 6 | 2008 | 38 | |
| 7 | 2005 | 23 | |
| 8 | 2012 | 19 | |
| 9 | 2010 | 19 | |
| 10 | 2004 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2025 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2000 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 1998 | 1 |
About Michael de Vera
Michael de Vera is a scholar working on Epidemiology, Surgery, Public Health, Environmental and Occupational Health, Transplantation and Pharmacology, having authored 19 papers that have together received 683 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Organ Donation and Transplantation (3 papers), Liver Disease and Transplantation (3 papers), Fungal Infections and Studies (2 papers), Cannabis and Cannabinoid Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Clinical Biochemistry (183 citations), Transplantation (71 citations), Equine (35 citations), Immunology (147 citations) and Infectious Diseases (128 citations). Michael de Vera has collaborated with scholars based in United States, Italy and Egypt. Frequent co-authors include Charles K. Brown, Timothy R. Billiar, Michael T. Lotze, Anna Rubartelli, Herbert J. Zeh, Shahid Husain, Thomas V. Cacciarelli, Timothy Gayowski, Nina Singh and Andrea DiMartini. Their work appears in journals such as Transplantation, Clinical Cancer Research, Journal of Endourology, Medicine and Clinical Kidney Journal.
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.