Danilo Schmidt

3.0k total citations
115 papers, 1.9k citations indexed

About

Danilo Schmidt is a scholar working on Transplantation, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danilo Schmidt has authored 115 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Transplantation, 29 papers in Surgery and 18 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danilo Schmidt's work include Renal Transplantation Outcomes and Treatments (37 papers), Organ Transplantation Techniques and Outcomes (16 papers) and Service and Product Innovation (12 papers). Danilo Schmidt is often cited by papers focused on Renal Transplantation Outcomes and Treatments (37 papers), Organ Transplantation Techniques and Outcomes (16 papers) and Service and Product Innovation (12 papers). Danilo Schmidt collaborates with scholars based in Germany, United States and Spain. Danilo Schmidt's co-authors include Klemens Budde, Lutz Liefeldt, Nils Lachmann, Birgit Rudolph, Kaiyin Wu, Petra Reinke, Fabian Halleck, Susanne Brakemeier, Petra Glander and H. H. Neumayer and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and Infection and Immunity.

In The Last Decade

Danilo Schmidt

113 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danilo Schmidt Germany 23 1.1k 646 385 357 298 115 1.9k
Marc L. Melcher United States 26 500 0.5× 652 1.0× 346 0.9× 836 2.3× 81 0.3× 102 1.9k
Ian W. Gibson Canada 31 2.8k 2.6× 1.9k 2.9× 685 1.8× 530 1.5× 1.1k 3.6× 128 4.4k
Ignacio Revuelta Spain 16 283 0.3× 279 0.4× 168 0.4× 186 0.5× 295 1.0× 77 1.4k
Michael A. Rees United States 23 458 0.4× 879 1.4× 125 0.3× 715 2.0× 78 0.3× 81 1.7k
Susan L. Saidman United States 39 3.6k 3.4× 2.6k 4.0× 543 1.4× 766 2.1× 763 2.6× 106 6.5k
Mahmoud Aljurf Saudi Arabia 36 214 0.2× 212 0.3× 384 1.0× 1.0k 2.9× 34 0.1× 234 4.3k
Johan Wallin Sweden 23 131 0.1× 558 0.9× 384 1.0× 160 0.4× 35 0.1× 84 2.6k
Raouf E. Nakhleh United States 36 410 0.4× 1.7k 2.6× 509 1.3× 378 1.1× 17 0.1× 186 4.3k
Carmen Lefaucheur France 37 4.4k 4.1× 2.7k 4.2× 631 1.6× 881 2.5× 1.6k 5.4× 94 5.7k
Richard M. Kaufman United States 31 129 0.1× 248 0.4× 182 0.5× 144 0.4× 490 1.6× 100 3.3k

Countries citing papers authored by Danilo Schmidt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danilo Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Schmidt. A scholar is included among the top collaborators of Danilo Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danilo Schmidt. Danilo Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bachmann, Friederike, Nils Lachmann, Nadine Koch, et al.. (2023). Pregnancy after Kidney Transplantation—Impact of Functional Renal Reserve, Slope of eGFR before Pregnancy, and Intensity of Immunosuppression on Kidney Function and Maternal Health. Journal of Clinical Medicine. 12(4). 1545–1545. 4 indexed citations
2.
Singer, Eugenia, Friederike Bachmann, Fabian Halleck, et al.. (2023). Plasma NGAL levels in stable kidney transplant recipients and the risk of allograft loss. Nephrology Dialysis Transplantation. 39(3). 483–495. 2 indexed citations
3.
Schapranow, Matthieu-P., Marcel G. Naik, Danilo Schmidt, et al.. (2023). NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study. JMIR Research Protocols. 12. e48892–e48892. 4 indexed citations
4.
Liefeldt, Lutz, Petra Glander, Jens Klotsche, et al.. (2022). Predictors of Serological Response to SARS-CoV-2 Vaccination in Kidney Transplant Patients: Baseline Characteristics, Immunosuppression, and the Role of IMPDH Monitoring. Journal of Clinical Medicine. 11(6). 1697–1697. 6 indexed citations
5.
Schrezenmeier, Eva, Lukas Lehner, Manuel Mayrdorfer, et al.. (2021). What happens after graft loss? A large, long‐term, single‐center observation. Transplant International. 34(4). 732–742. 5 indexed citations
6.
Zhang, Qiang, Birgit Rudolph, Mira Choi, et al.. (2020). The relationship between proteinuria and allograft survival in patients with transplant glomerulopathy: a retrospective single‐center cohort study. Transplant International. 34(2). 259–271. 3 indexed citations
7.
Halleck, Fabian, Dmytro Khadzhynov, Lukas Lehner, et al.. (2018). Impact of Pre-existing Comorbidities on Long-term Outcomes in Kidney Transplant Recipients. Transplantation Proceedings. 50(10). 3232–3241. 15 indexed citations
8.
Budde, Klemens, et al.. (2018). A Domain-adapted Dependency Parser for German Clinical Text.. 12–17. 2 indexed citations
9.
Halleck, Fabian, Dmytro Khadzhynov, Lutz Liefeldt, et al.. (2016). Immunologic outcome in elderly kidney transplant recipients: is it time for HLA-DR matching?. Nephrology Dialysis Transplantation. 31(12). 2143–2149. 22 indexed citations
10.
Roller, Roland, et al.. (2016). Negation Detection in Clinical Reports Written in German.. International Conference on Computational Linguistics. 115–124. 19 indexed citations
11.
Schmidt, Danilo, et al.. (2015). The Handling of Missing Values in Medical Domains with Respect to Pattern Mining Algorithms.. 147–154. 5 indexed citations
12.
13.
Schmidt, Danilo, et al.. (2015). Decision Methodology for Planning Product-Service Systems. 4 indexed citations
14.
Schmidt, Danilo, Sebastian Schenkl, & Maik Maurer. (2014). EVALUATION OF KNOWLEDGE TO FUTURE-PROOF THE KNOWLEDGE BASE. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1863–1872.
15.
Schenkl, Sebastian, et al.. (2013). Knowledge structure maps based on Multiple Domain Matrices. 5(1). 5–16. 4 indexed citations
16.
Niemann, Matthias, et al.. (2012). First Steps towards a Frequent Pattern Mining with Nephrology Data in the Medical Domain.. 261–268. 1 indexed citations
17.
Lachmann, Nils, Paul I. Terasaki, Klemens Budde, et al.. (2009). Anti-Human Leukocyte Antigen and Donor-Specific Antibodies Detected by Luminex Posttransplant Serve as Biomarkers for Chronic Rejection of Renal Allografts. Transplantation. 87(10). 1505–1513. 271 indexed citations
18.
Neß, Thomas, et al.. (2006). [Temporal arteritis (giant cell arteritis). Clinical picture, histology, and treatment].. Der Ophthalmologe. 103(4). 296–301. 13 indexed citations
19.
Schmidt, Danilo & Bernhard Richter. (1999). Hals-Nasen-Ohren-Befunde bei Arteriitis temporalis Horton Literaturübersicht und Falldarstellung. HNO. 47(3). 176–182. 1 indexed citations
20.
Schmidt, Danilo, et al.. (1979). [Epidemiological study of pulmonary hydatid cyst in the Ivory Coast. 3 cases].. PubMed. 71(2). 154–7. 2 indexed citations

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.

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