Danielle K. Manning
Impact in
Papers in
-
- Renal and related cancers 6
- Congenital heart defects research 2
- Epigenetics and DNA Methylation 2
- Genetics 9
- Genetic and Kidney Cyst Diseases 6
- Co-authors
- David R. Beier (9 shared papers)Hisashi Koga (1 shared paper)Dai Shiba (1 shared paper)Takahiko Yokoyama (1 shared paper)Ying Luo (1 shared paper)Jing Zhou (1 shared paper)Eisei Sohara (1 shared paper)Jingjing Zhang (1 shared paper)
- Journals
- Journal of Molecular Diagnostics (2 papers)Frontiers in Oncology (2 papers)Journal of the American Society of Nephrology (2 papers)Molecular Cell (1 paper)European Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Danielle K. Manning
22 papers receiving 689 citations
Peers
Comparison fields: 5 of 66
- Genetics 388
- Aging 20
- Cell Biology 165
- Molecular Biology 490
- Developmental Neuroscience 17
Countries citing papers authored by Danielle K. Manning
This map shows the geographic impact of Danielle K. Manning'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 Danielle K. Manning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle K. Manning more than expected).
Fields of papers citing papers by Danielle K. Manning
This network shows the impact of papers produced by Danielle K. Manning. 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 Danielle K. Manning. The network helps show where Danielle K. Manning may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle K. Manning, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2010 | 106 | |
| 3 | 2008 | 92 | |
| 4 | 2010 | 78 | |
| 5 | 2006 | 75 | |
| 6 | 2012 | 51 | |
| 7 | 2015 | 40 | |
| 8 | 2011 | 32 | |
| 9 | 2008 | 26 | |
| 10 | 2022 | 18 | |
| 11 | 2020 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Danielle K. Manning
Danielle K. Manning is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Renal and related cancers (6 papers), Genetic and Kidney Cyst Diseases (6 papers), Genetic factors in colorectal cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Congenital heart defects research (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (388 citations), Aging (20 citations), Cell Biology (165 citations), Molecular Biology (490 citations) and Developmental Neuroscience (17 citations). Danielle K. Manning has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include David R. Beier, Hisashi Koga, Dai Shiba, Takahiko Yokoyama, Ying Luo, Jing Zhou, Eisei Sohara, Jingjing Zhang, Jennifer L. Moran and Noelle D. Dwyer. Their work appears in journals such as Journal of Molecular Diagnostics, Frontiers in Oncology, Journal of the American Society of Nephrology, Molecular Cell and European Journal of Medical Genetics.
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.