Daniel S. Wagner
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
Papers in
-
- Developmental Biology and Gene Regulation 7
- Pluripotent Stem Cells Research 4
- Retinal Development and Disorders 3
- Cell Biology 12
- Zebrafish Biomedical Research Applications 8
- Co-authors
- Roberto Montes de Oca Luna (1 shared paper)Guillermina Lozano (1 shared paper)Mary C. Mullins (9 shared papers)Roland Dosch (6 shared papers)William H. Klein (6 shared papers)Anthony P. Wiemelt (2 shared papers)Lin Gan (4 shared papers)Keith A. Mintzer (2 shared papers)
- Journals
- Developmental Biology (6 papers)Developmental Cell (2 papers)Development (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biomaterials (2 papers)
- Partner nations
- United StatesGermanyBelarus
In The Last Decade
Daniel S. Wagner
47 papers receiving 4.1k citations
Daniel S. Wagner's Hit Papers
Peers
Comparison fields: 5 of 150
- Oncology 1.2k
- Cell Biology 631
- Molecular Biology 2.5k
- Biotechnology 292
- Cancer Research 325
Countries citing papers authored by Daniel S. Wagner
This map shows the geographic impact of Daniel S. Wagner'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 Daniel S. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Wagner more than expected).
Fields of papers citing papers by Daniel S. Wagner
This network shows the impact of papers produced by Daniel S. Wagner. 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 Daniel S. Wagner. The network helps show where Daniel S. Wagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Wagner, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rescue of early embryonic lethality in mdm2-deficient mice by deletion of p53 Hit paper breakdown → | 1995 | 1172 |
| 2 | 2004 | 365 | |
| 3 | 1996 | 289 | |
| 4 | 2001 | 258 | |
| 5 | 2004 | 195 | |
| 6 | 2013 | 175 | |
| 7 | 2017 | 132 | |
| 8 | 2004 | 116 | |
| 9 | 2012 | 102 | |
| 10 | 1999 | 85 | |
| 11 | 2010 | 83 | |
| 12 | 2005 | 83 | |
| 13 | 2016 | 80 | |
| 14 | 2011 | 79 | |
| 15 | 2012 | 68 | |
| 16 | 2002 | 62 | |
| 17 | 2015 | 61 | |
| 18 | 2010 | 53 | |
| 19 | 2011 | 52 | |
| 20 | 2002 | 49 |
About Daniel S. Wagner
Daniel S. Wagner is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Computer Networks and Communications, having authored 47 papers that have together received 4.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Developmental Biology and Gene Regulation (7 papers), Pluripotent Stem Cells Research (4 papers), Plant responses to elevated CO2 (3 papers), Climate change impacts on agriculture (3 papers), Advanced Database Systems and Queries (3 papers), Retinal Development and Disorders (3 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Oncology (1.2k citations), Cell Biology (631 citations), Molecular Biology (2.5k citations), Biotechnology (292 citations) and Cancer Research (325 citations). Daniel S. Wagner has collaborated with scholars based in United States, Germany and Belarus. Frequent co-authors include Roberto Montes de Oca Luna, Guillermina Lozano, Mary C. Mullins, Roland Dosch, William H. Klein, Anthony P. Wiemelt, Lin Gan, Keith A. Mintzer, Jeremy Nathans and Mengqing Xiang. Their work appears in journals such as Developmental Biology, Developmental Cell, Development, Proceedings of the National Academy of Sciences and Biomaterials.
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.