David P. Schladt
- Surgery top 5%
- Hepatology top 1%
- Transplantation top 0.5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Ajay K. IsraniJon J. SnyderW. Ray KimJodi M. SmithB.L. KasiskeA.M. HarperM.A. SkeansJ.L. Wainright
- Topics
- Renal Transplantation Outcomes and Treatments (23 papers)Organ Transplantation Techniques and Outcomes (15 papers)Liver Disease and Transplantation (9 papers)
- Cited by
- TransplantationHepatologySurgery
- 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
- Surgery 886
- Hepatology 794
- Transplantation 604
- Epidemiology 458
- Public Health, Environmental and Occupational Health 215
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 of co-authors of David P. Schladt
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Schladt. A scholar is included among the top collaborators of David P. Schladt 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 David P. Schladt. David P. Schladt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | OPTN/SRTR 2023 Annual Data Report: Liverbreakdown → | 15 |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | OPTN/SRTR 2021 Annual Data Report: Lungbreakdown → | 93 |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 19 | |
| 13 | 8 | |
| 14 | 17 | |
| 15 | OPTN/SRTR 2016 Annual Data Report: Liverbreakdown → | 288 |
| 16 | OPTN/SRTR 2015 Annual Data Report: Liverbreakdown → | 225 |
| 17 | 43 | |
| 18 | 29 | |
| 19 | 261 | |
| 20 | 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) and Liver Disease and Transplantation (9 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.