Daniel M. Bornman
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Periodontics top 10%
Papers in
-
- Epigenetics and DNA Methylation 2
- Peroxisome Proliferator-Activated Receptors 1
- Gene expression and cancer classification 1
- Genetics 3
- Forensic and Genetic Research 1
- Co-authors
- Edward Gabrielson (5 shared papers)James G. Herman (2 shared papers)Ramaswamy Anbazhagan (3 shared papers)Seema Mathew (1 shared paper)Patrice J. Morin (1 shared paper)James C. Johnston (2 shared papers)Ellen S. Pizer (1 shared paper)Yixue Yang (1 shared paper)
- Journals
- Journal of Cutaneous Pathology (1 paper)BioTechniques (1 paper)Clinical Cancer Research (1 paper)American Journal Of Pathology (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Daniel M. Bornman
10 papers receiving 759 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 152
- Periodontics 34
- Molecular Biology 471
- Oncology 110
- Genetics 112
Countries citing papers authored by Daniel M. Bornman
This map shows the geographic impact of Daniel M. Bornman'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 M. Bornman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Bornman more than expected).
Fields of papers citing papers by Daniel M. Bornman
This network shows the impact of papers produced by Daniel M. Bornman. 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 M. Bornman. The network helps show where Daniel M. Bornman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Bornman, 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 | 2014 | 169 | |
| 2 | 2003 | 135 | |
| 3 | 2001 | 110 | |
| 4 | Classification of small cell lung cancer and pulmonary carcinoid by gene expression profiles. | 1999 | 110 |
| 5 | 2004 | 96 | |
| 6 | 2012 | 82 | |
| 7 | 2002 | 36 | |
| 8 | The S387Y mutations of the transforming growth factor-beta receptor type I gene is uncommon in metastases of breast cancer and other common types of adenocarcinoma. | 1999 | 27 |
| 9 | 2006 | 13 | |
| 10 | 2007 | 13 |
About Daniel M. Bornman
Daniel M. Bornman is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 10 papers that have together received 791 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Genetic factors in colorectal cancer (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Research Studies (1 paper), Salivary Gland Disorders and Functions (1 paper), Gene expression and cancer classification (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Cancer Research (152 citations), Periodontics (34 citations), Molecular Biology (471 citations), Oncology (110 citations) and Genetics (112 citations). Daniel M. Bornman has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Edward Gabrielson, James G. Herman, Ramaswamy Anbazhagan, Seema Mathew, Patrice J. Morin, James C. Johnston, Ellen S. Pizer, Yixue Yang, Wan Fang Han and M L Dickens. Their work appears in journals such as Journal of Cutaneous Pathology, BioTechniques, Clinical Cancer Research, American Journal Of Pathology and Experimental Cell 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.