Daniel Gilbert Weber
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Occupational and environmental lung diseases
Papers in
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- Occupational and environmental lung diseases 25
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 3
- Carcinogens and Genotoxicity Assessment 1
- Co-authors
- Georg Johnen (31 shared papers)Thomas Brüning (28 shared papers)Beate Pesch (15 shared papers)Swaantje Casjens (18 shared papers)Oleksandr Bryk (5 shared papers)Jens Kollmeier (7 shared papers)Karl‐Heinz Jöckel (4 shared papers)Dirk Taeger (17 shared papers)
In The Last Decade
Daniel Gilbert Weber
33 papers receiving 877 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 291
- Pulmonary and Respiratory Medicine 441
- Molecular Biology 125
- Oncology 34
- Environmental Chemistry 12
Countries citing papers authored by Daniel Gilbert Weber
This map shows the geographic impact of Daniel Gilbert Weber'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 Gilbert Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gilbert Weber more than expected).
Fields of papers citing papers by Daniel Gilbert Weber
This network shows the impact of papers produced by Daniel Gilbert Weber. 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 Gilbert Weber. The network helps show where Daniel Gilbert Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gilbert Weber, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2012 | 73 | |
| 3 | 2010 | 69 | |
| 4 | 2014 | 48 | |
| 5 | 2013 | 46 | |
| 6 | 2017 | 46 | |
| 7 | 2010 | 42 | |
| 8 | 2018 | 37 | |
| 9 | 2009 | 36 | |
| 10 | 2010 | 35 | |
| 11 | 2017 | 30 | |
| 12 | 2007 | 23 | |
| 13 | 2010 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2020 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2011 | 13 |
About Daniel Gilbert Weber
Daniel Gilbert Weber is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Health, Toxicology and Mutagenesis, Oncology and Genetics, having authored 34 papers that have together received 885 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (25 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Molecular Biology Techniques and Applications (2 papers), Epigenetics and DNA Methylation (1 paper), Global Cancer Incidence and Screening (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Cancer Research (291 citations), Pulmonary and Respiratory Medicine (441 citations), Molecular Biology (125 citations), Oncology (34 citations) and Environmental Chemistry (12 citations). Daniel Gilbert Weber has collaborated with scholars based in Germany, Mexico and Australia. Frequent co-authors include Georg Johnen, Thomas Brüning, Beate Pesch, Swaantje Casjens, Oleksandr Bryk, Jens Kollmeier, Karl‐Heinz Jöckel, Dirk Taeger, Martin Lehnert and Thomas Kraus. Their work appears in journals such as PLoS ONE, BMC Cancer, Disease Markers, BMJ Open and Biomarker Insights.
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.