Daan van Poll
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
- Co-authors
- Martin L. Yarmush (9 shared papers)Arno W. Tilles (6 shared papers)Biju Parekkadan (5 shared papers)François Berthiaume (5 shared papers)Yaakov Nahmias (3 shared papers)Cheul H. Cho (2 shared papers)Edward A. Carter (1 shared paper)Kazuhiro Suganuma (1 shared paper)
- Journals
- Tissue Engineering (2 papers)Hepatology (2 papers)Journal of Pediatric Surgery (2 papers)Biochemical and Biophysical Research Communications (1 paper)Pancreas (1 paper)
- Partner nations
- NetherlandsUnited StatesJapan
In The Last Decade
Daan van Poll
19 papers receiving 1.6k citations
Daan van Poll's Hit Papers
Peers
Comparison fields: 5 of 96
- Hepatology 528
- Genetics 681
- Surgery 636
- Cancer Research 134
- Orthopedics and Sports Medicine 67
Countries citing papers authored by Daan van Poll
This map shows the geographic impact of Daan van Poll'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 Daan van Poll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daan van Poll more than expected).
Fields of papers citing papers by Daan van Poll
This network shows the impact of papers produced by Daan van Poll. 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 Daan van Poll. The network helps show where Daan van Poll may publish in the future.
Co-authors
The 25 scholars most cited alongside Daan van Poll, 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 | 2007 | 452 | |
| 2 | Mesenchymal stem cell–derived molecules directly modulate hepatocellular death and regeneration in vitro and in vivo Hit paper breakdown → | 2008 | 441 |
| 3 | 2008 | 229 | |
| 4 | 2007 | 221 | |
| 5 | 2005 | 67 | |
| 6 | 2001 | 60 | |
| 7 | 2001 | 53 | |
| 8 | 2008 | 41 | |
| 9 | 2007 | 29 | |
| 10 | 2006 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2007 | 22 | |
| 13 | 2007 | 16 | |
| 14 | 2012 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2016 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2015 | 3 | |
| 19 | 2018 | 1 | |
| 20 | [Mechanical ileus in children with no prior history of abdominal surgery]. | 2015 | 1 |
About Daan van Poll
Daan van Poll is a scholar working on Surgery, Genetics, Hepatology, Oncology and Molecular Biology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Liver physiology and pathology (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Esophageal and GI Pathology (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Hepatology (528 citations), Genetics (681 citations), Surgery (636 citations), Cancer Research (134 citations) and Orthopedics and Sports Medicine (67 citations). Daan van Poll has collaborated with scholars based in Netherlands, United States and Japan. Frequent co-authors include Martin L. Yarmush, Arno W. Tilles, Biju Parekkadan, François Berthiaume, Yaakov Nahmias, Cheul H. Cho, Edward A. Carter, Kazuhiro Suganuma, Raymond T. Chung and Naoya Kobayashi. Their work appears in journals such as Tissue Engineering, Hepatology, Journal of Pediatric Surgery, Biochemical and Biophysical Research Communications and Pancreas.
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.