Danilo Schmidt
Impact in
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Renal Transplantation Outcomes and Treatments 41
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- Electronic Health Records Systems 12
- Artificial Intelligence in Healthcare 4
- Co-authors
- Klemens Budde (60 shared papers)Lutz Liefeldt (16 shared papers)Nils Lachmann (17 shared papers)Birgit D. Rudolph (16 shared papers)Kaiyin Wu (20 shared papers)Petra Reinke (5 shared papers)Susanne Brakemeier (10 shared papers)Petra Glander (10 shared papers)
- Journals
- Nephrology Dialysis Transplantation (7 papers)Transplantation (6 papers)Transplant International (5 papers)Journal of Clinical Medicine (4 papers)Journal of Visualized Experiments (4 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Danilo Schmidt
79 papers receiving 1.9k citations
Danilo Schmidt's Hit Papers
Peers
Comparison fields: 5 of 91
- Transplantation 1.2k
- Health Informatics 40
- Nephrology 107
- Health Information Management 64
- Epidemiology 129
Countries citing papers authored by Danilo Schmidt
This map shows the geographic impact of Danilo Schmidt'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 Danilo Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Schmidt more than expected).
Fields of papers citing papers by Danilo Schmidt
This network shows the impact of papers produced by Danilo Schmidt. 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 Danilo Schmidt. The network helps show where Danilo Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Schmidt, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 294 | |
| 2 | 2012 | 211 | |
| 3 | 2017 | 141 | |
| 4 | Exploring the Complexity of Death-Censored Kidney Allograft Failure Hit paper breakdown → | 2021 | 126 |
| 5 | 2016 | 52 | |
| 6 | 2014 | 51 | |
| 7 | 2019 | 48 | |
| 8 | 2008 | 47 | |
| 9 | 2010 | 47 | |
| 10 | 2021 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2015 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2015 | 33 | |
| 15 | 2020 | 32 | |
| 16 | 2015 | 28 | |
| 17 | 2016 | 28 | |
| 18 | 2016 | 26 | |
| 19 | 2013 | 25 | |
| 20 | 2015 | 25 |
About Danilo Schmidt
Danilo Schmidt is a scholar working on Transplantation, Health Information Management, Information Systems, General Health Professions and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (41 papers), Electronic Health Records Systems (12 papers), Biomedical Text Mining and Ontologies (8 papers), Mobile Health and mHealth Applications (6 papers), Artificial Intelligence in Healthcare (4 papers), Machine Learning in Healthcare (3 papers), Telemedicine and Telehealth Implementation (3 papers) and Information Retrieval and Search Behavior (3 papers). The work is most often cited by research in Transplantation (1.2k citations), Health Informatics (40 citations), Nephrology (107 citations), Health Information Management (64 citations) and Epidemiology (129 citations). Danilo Schmidt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Klemens Budde, Lutz Liefeldt, Nils Lachmann, Birgit D. Rudolph, Kaiyin Wu, Petra Reinke, Susanne Brakemeier, Petra Glander, Hans H. Neumayer and Oliver Staeck. Their work appears in journals such as Nephrology Dialysis Transplantation, Transplantation, Transplant International, Journal of Clinical Medicine and Journal of Visualized Experiments.
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.