David P. Schladt
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 23
- Hepatology top 1%
- Liver Disease and Transplantation 9
- Surgery top 5%
- Organ Transplantation Techniques and Outcomes 15
- Transplantation: Methods and Outcomes 7
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 3
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
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- Pharmacological Effects and Toxicity Studies 7
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- Organ Donation and Transplantation 5
- Co-authors
- Ajay K. IsraniJon J. SnyderW. Ray KimJodi M. SmithB.L. KasiskeA.M. HarperM.A. SkeansJ.L. Wainright
- Cited by
- TransplantationHepatologySurgery
- Journals
- PLoS ONE (2 papers)Transplantation (5 papers)American Journal of Transplantation (12 papers)
- Partner nations
- United StatesNetherlandsEgypt
In The Last Decade
David P. Schladt
31 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Transplantation 604
- Hepatology 794
- Surgery 886
- Epidemiology 458
- Pharmacology 98
Countries citing papers authored by David P. Schladt
This map shows the geographic impact of David P. Schladt'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 David P. Schladt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Schladt more than expected).
Fields of papers citing papers by David P. Schladt
This network shows the impact of papers produced by David P. Schladt. 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 David P. Schladt. The network helps show where David P. Schladt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David P. Schladt, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | OPTN/SRTR 2023 Annual Data Report: Liverbreakdown → | 2025 | 15 |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 19 | |
| 7 | OPTN/SRTR 2021 Annual Data Report: Lungbreakdown → | 2023 | 93 |
| 8 | 2022 | 6 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 17 | |
| 15 | OPTN/SRTR 2016 Annual Data Report: Liverbreakdown → | 2018 | 288 |
| 16 | OPTN/SRTR 2015 Annual Data Report: Liverbreakdown → | 2017 | 225 |
| 17 | 2017 | 43 | |
| 18 | 2015 | 29 | |
| 19 | 2015 | 261 | |
| 20 | 2013 | 171 |
About David P. Schladt
David P. Schladt is a scholar working on Transplantation, Hepatology and Pharmacology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (23 papers), Organ Transplantation Techniques and Outcomes (15 papers), Liver Disease and Transplantation (9 papers), Pharmacological Effects and Toxicity Studies (7 papers), Transplantation: Methods and Outcomes (7 papers), Organ Donation and Transplantation (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Transplantation (604 citations), Hepatology (794 citations) and Surgery (886 citations). David P. Schladt has collaborated with scholars based in United States, Netherlands and Egypt. Frequent co-authors include Ajay K. Israni, Jon J. Snyder, W. Ray Kim, Jodi M. Smith, B.L. Kasiske, A.M. Harper, M.A. Skeans, J.L. Wainright, John R. Lake and Erik Edwards. Their work appears in journals such as PLoS ONE, Transplantation and American Journal of 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.