Danilo Schmidt
Impact in
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
Papers in
-
- Renal Transplantation Outcomes and Treatments 24
-
- Topic Modeling 8
- Co-authors
- Klemens Budde (60 shared papers)Lutz Liefeldt (16 shared papers)Nils Lachmann (16 shared papers)Birgit Rudolph (16 shared papers)Kaiyin Wu (20 shared papers)Susanne Brakemeier (10 shared papers)Petra Glander (11 shared papers)H. H. Neumayer (5 shared papers)
- Journals
- Nephrology Dialysis Transplantation (7 papers)Transplantation (6 papers)Transplant International (5 papers)Journal of Clinical Medicine (4 papers)Clinical Transplantation (3 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Danilo Schmidt
125 papers receiving 2.0k citations
Danilo Schmidt's Hit Papers
Peers
Comparison fields: 5 of 120
- Transplantation 973
- Nephrology 214
- Health Informatics 19
- Surgery 487
- Immunology 197
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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 274 | |
| 2 | 2012 | 196 | |
| 3 | 2017 | 126 | |
| 4 | Exploring the Complexity of Death-Censored Kidney Allograft Failure Hit paper breakdown → | 2021 | 102 |
| 5 | 2006 | 58 | |
| 6 | 1994 | 50 | |
| 7 | 2016 | 48 | |
| 8 | 2008 | 46 | |
| 9 | 2014 | 46 | |
| 10 | 2019 | 43 | |
| 11 | 2010 | 41 | |
| 12 | 2021 | 38 | |
| 13 | 2012 | 35 | |
| 14 | 2015 | 34 | |
| 15 | 2015 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2016 | 28 | |
| 19 | 2016 | 27 | |
| 20 | 2014 | 25 |
About Danilo Schmidt
Danilo Schmidt is a scholar working on Transplantation, Artificial Intelligence, Molecular Biology, Marketing and Management of Technology and Innovation, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (24 papers), Service and Product Innovation (12 papers), Biomedical Text Mining and Ontologies (11 papers), Product Development and Customization (9 papers), Topic Modeling (8 papers), Organ Transplantation Techniques and Outcomes (5 papers), Electronic Health Records Systems (5 papers) and Design Education and Practice (5 papers). The work is most often cited by research in Transplantation (973 citations), Nephrology (214 citations), Health Informatics (19 citations), Surgery (487 citations) and Immunology (197 citations). Danilo Schmidt has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Klemens Budde, Lutz Liefeldt, Nils Lachmann, Birgit Rudolph, Kaiyin Wu, Susanne Brakemeier, Petra Glander, H. H. Neumayer, Oliver Staeck and C. Schönemann. Their work appears in journals such as Nephrology Dialysis Transplantation, Transplantation, Transplant International, Journal of Clinical Medicine and Clinical Transplantation.
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.