David Maag
- Hepatology top 2%
- Oncology top 2%
- PARP inhibition in cancer therapy 17
- Cancer Treatment and Pharmacology 8
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 10
- DNA Repair Mechanisms 7
- RNA Research and Splicing 7
- RNA modifications and cancer 6
- Cancer Research top 5%
- Infectious Diseases top 5%
-
- Advanced Breast Cancer Therapies 8
-
- BRCA gene mutations in cancer 6
- Co-authors
- Jon R. LorschMikkel A. AlgireCraig E. CameronWeidong ZhongJohnson Y. N. LauZhi HongRaul AndinoJamie J. Arnold
- Cited by
- HepatologyOncologyMolecular Biology
- Journals
- Journal of Clinical Oncology (8 papers)Journal of Thoracic Oncology (4 papers)Annals of Oncology (4 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
David Maag
57 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hepatology 423
- Oncology 1.3k
- Molecular Biology 2.7k
- Cancer Research 506
- Infectious Diseases 482
Countries citing papers authored by David Maag
This map shows the geographic impact of David Maag'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 Maag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Maag more than expected).
Fields of papers citing papers by David Maag
This network shows the impact of papers produced by David Maag. 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 Maag. The network helps show where David Maag may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Maag, 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 | 2024 | 10 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 25 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 173 | |
| 9 | 2015 | 198 | |
| 10 | 2011 | 88 | |
| 11 | 2011 | 113 | |
| 12 | 2010 | 296 | |
| 13 | 2007 | 96 | |
| 14 | 2007 | 255 | |
| 15 | 2007 | 131 | |
| 16 | 2006 | 11 | |
| 17 | 2005 | 192 | |
| 18 | 2002 | 122 | |
| 19 | 2002 | 103 | |
| 20 | 2001 | 234 |
About David Maag
David Maag is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 4.6k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (17 papers), RNA and protein synthesis mechanisms (10 papers), Advanced Breast Cancer Therapies (8 papers), Cancer Treatment and Pharmacology (8 papers), DNA Repair Mechanisms (7 papers), RNA Research and Splicing (7 papers), BRCA gene mutations in cancer (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Hepatology (423 citations), Oncology (1.3k citations), Molecular Biology (2.7k citations), Cancer Research (506 citations) and Infectious Diseases (482 citations). David Maag has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Jon R. Lorsch, Mikkel A. Algire, Craig E. Cameron, Weidong Zhong, Johnson Y. N. Lau, Zhi Hong, Raul Andino, Jamie J. Arnold, Shane Crotty and Christie A. Fekete. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Annals of Oncology, Cell and Cancer Research.
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.