David M. Vock
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
-
- Renal Transplantation Outcomes and Treatments 21
-
- Advanced Causal Inference Techniques 13
- Statistical Methods and Bayesian Inference 10
- Co-authors
- Arthur J. MatasJulian WolfsonRebecca D. KehmLogan G. SpectorJenny N. PoynterTheresa L. OsypukScott M. PalmerCatherine Copeland
- Journals
- American Journal of Transplantation (8 papers)Transplantation (7 papers)Contemporary Clinical Trials (6 papers)Biostatistics (4 papers)Pediatric Transplantation (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David M. Vock
128 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 161
- Transplantation 196
- Otorhinolaryngology 132
- Statistics and Probability 127
- Hepatology 120
- Public Health, Environmental and Occupational Health 435
Countries citing papers authored by David M. Vock
This map shows the geographic impact of David M. Vock'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 M. Vock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Vock more than expected).
Fields of papers citing papers by David M. Vock
This network shows the impact of papers produced by David M. Vock. 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 M. Vock. The network helps show where David M. Vock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Vock, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 23 | |
| 15 | 2018 | 20 | |
| 16 | 2017 | 92 | |
| 17 | 2016 | 7 | |
| 18 | 2016 | 45 | |
| 19 | 2015 | 13 | |
| 20 | PREDICTING PEGINTERFERON-alpha AND RIBAVIRIN TREATMENT RESPONSE IN GENOTYPE 1 HCV PATIENTS - SIMPLE NOMOGRAMS TO SUPPORT CLINICIANS | 2011 | 1 |
About David M. Vock
David M. Vock is a scholar working on Transplantation, Statistics and Probability, Otorhinolaryngology, Hepatology and Applied Psychology, having authored 138 papers that have together received 2.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (24 papers), Renal Transplantation Outcomes and Treatments (21 papers), Organ Donation and Transplantation (17 papers), Advanced Causal Inference Techniques (13 papers), Statistical Methods and Bayesian Inference (10 papers), Renal and Vascular Pathologies (9 papers), Transplantation: Methods and Outcomes (8 papers) and Head and Neck Cancer Studies (8 papers). The work is most often cited by research in Transplantation (196 citations), Otorhinolaryngology (132 citations), Statistics and Probability (127 citations), Hepatology (120 citations) and Public Health, Environmental and Occupational Health (435 citations). David M. Vock has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Arthur J. Matas, Julian Wolfson, Rebecca D. Kehm, Logan G. Spector, Jenny N. Poynter, Theresa L. Osypuk, Scott M. Palmer, Catherine Copeland, Fang Yu and Patrick J. O’Connor. Their work appears in journals such as American Journal of Transplantation, Transplantation, Contemporary Clinical Trials, Biostatistics and Pediatric 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.