D. Hiller
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Aging top 2%
Papers in
- Surgery 22
- Transplantation: Methods and Outcomes 18
- Organ Transplantation Techniques and Outcomes 4
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- Renal Transplantation Outcomes and Treatments 16
- Co-authors
- Haoqiang Ying (3 shared papers)Ronald A. DePinho (3 shared papers)Hongwu Zheng (3 shared papers)Keith L. Ligon (3 shared papers)Wing H. Wong (3 shared papers)Zhihu Ding (2 shared papers)Lynda Chin (2 shared papers)James Yee (8 shared papers)
- Journals
- The Journal of Heart and Lung Transplantation (13 papers)The American Surgeon (3 papers)Journal of Surgical Research (2 papers)Nature (2 papers)Surgery (1 paper)
- Partner nations
- United StatesSpainAustria
In The Last Decade
D. Hiller
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Transplantation 453
- Aging 106
- Developmental Neuroscience 159
- Cancer Research 451
- Genetics 272
Countries citing papers authored by D. Hiller
This map shows the geographic impact of D. Hiller'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 D. Hiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Hiller more than expected).
Fields of papers citing papers by D. Hiller
This network shows the impact of papers produced by D. Hiller. 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 D. Hiller. The network helps show where D. Hiller may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Hiller, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 and Pten control neural and glioma stem/progenitor cell renewal and differentiation Hit paper breakdown → | 2008 | 573 |
| 2 | 2009 | 364 | |
| 3 | 2016 | 165 | |
| 4 | 2019 | 151 | |
| 5 | 2008 | 103 | |
| 6 | 2018 | 89 | |
| 7 | 2009 | 40 | |
| 8 | 2016 | 33 | |
| 9 | 2015 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2011 | 24 | |
| 12 | 2011 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2015 | 19 | |
| 15 | 2019 | 17 | |
| 16 | 2012 | 12 | |
| 17 | 2009 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2017 | 8 | |
| 20 | 2010 | 7 |
About D. Hiller
D. Hiller is a scholar working on Surgery, Transplantation, Oncology, Molecular Biology and Cancer Research, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (18 papers), Renal Transplantation Outcomes and Treatments (16 papers), Viral Infections and Immunology Research (5 papers), Cancer Genomics and Diagnostics (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Cancer Cells and Metastasis (3 papers), Immunotherapy and Immune Responses (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Transplantation (453 citations), Aging (106 citations), Developmental Neuroscience (159 citations), Cancer Research (451 citations) and Genetics (272 citations). D. Hiller has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Haoqiang Ying, Ronald A. DePinho, Hongwu Zheng, Keith L. Ligon, Wing H. Wong, Zhihu Ding, Lynda Chin, James Yee, Alec C. Kimmelman and Samuel R. Perry. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The American Surgeon, Journal of Surgical Research, Nature and Surgery.
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.