Daniel A. Peiffer
Impact in
Papers in
-
- Developmental Biology and Gene Regulation 5
- Congenital heart defects research 4
- Gene expression and cancer classification 3
- TGF-β signaling in diseases 3
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
- Genetics 8
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- Kevin L. Gunderson (10 shared papers)Sau Wai Cheung (4 shared papers)Richard Shen (3 shared papers)Weihua Chang (1 shared paper)David Barker (1 shared paper)Jiangzhen Li (1 shared paper)John W. Belmont (1 shared paper)Chad A. Shaw (1 shared paper)
- Journals
- Developmental Dynamics (3 papers)PLoS Genetics (2 papers)Development (1 paper)Equine Veterinary Journal (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Daniel A. Peiffer
19 papers receiving 914 citations
Peers
Comparison fields: 5 of 86
- Genetics 432
- Equine 13
- Cancer Research 103
- Molecular Biology 473
- Aging 7
Countries citing papers authored by Daniel A. Peiffer
This map shows the geographic impact of Daniel A. Peiffer'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 A. Peiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Peiffer more than expected).
Fields of papers citing papers by Daniel A. Peiffer
This network shows the impact of papers produced by Daniel A. Peiffer. 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 A. Peiffer. The network helps show where Daniel A. Peiffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Peiffer, 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 | 2006 | 376 | |
| 2 | 2007 | 74 | |
| 3 | 2007 | 62 | |
| 4 | 2005 | 56 | |
| 5 | 2008 | 55 | |
| 6 | 2006 | 50 | |
| 7 | 2008 | 49 | |
| 8 | 2005 | 49 | |
| 9 | 2010 | 36 | |
| 10 | 2004 | 28 | |
| 11 | 2004 | 24 | |
| 12 | 2002 | 20 | |
| 13 | 2007 | 15 | |
| 14 | 2008 | 14 | |
| 15 | 2009 | 8 | |
| 16 | 2003 | 6 | |
| 17 | 2005 | 3 | |
| 18 | SNP-CGH technologies for genomic profiling of LOH and copy number | 2006 | 3 |
| 19 | 2005 | 1 |
About Daniel A. Peiffer
Daniel A. Peiffer is a scholar working on Molecular Biology, Genetics, Surgery, Cancer Research and Genetics, having authored 19 papers that have together received 929 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers), Gene expression and cancer classification (3 papers), TGF-β signaling in diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related gene regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (432 citations), Equine (13 citations), Cancer Research (103 citations), Molecular Biology (473 citations) and Aging (7 citations). Daniel A. Peiffer has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kevin L. Gunderson, Sau Wai Cheung, Richard Shen, Weihua Chang, David Barker, Jiangzhen Li, John W. Belmont, Chad A. Shaw, Francisco Garcia‐García and Jennie Le. Their work appears in journals such as Developmental Dynamics, PLoS Genetics, Development, Equine Veterinary Journal and Mechanisms of Development.
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.