Daniel M. Bornman

920 total citations
10 papers, 724 citations indexed

About

Daniel M. Bornman is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Daniel M. Bornman has authored 10 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Daniel M. Bornman's work include Genetic factors in colorectal cancer (3 papers), Epigenetics and DNA Methylation (2 papers) and Oral microbiology and periodontitis research (1 paper). Daniel M. Bornman is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Epigenetics and DNA Methylation (2 papers) and Oral microbiology and periodontitis research (1 paper). Daniel M. Bornman collaborates with scholars based in United States, South Korea and Japan. Daniel M. Bornman's co-authors include Edward Gabrielson, James G. Herman, Ramaswamy Anbazhagan, Seema Mathew, Patrice J. Morin, Ellen S. Pizer, Wan Fang Han, James C. Johnston, Angela Minard-Smith and Brian Young and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and American Journal Of Pathology.

In The Last Decade

Daniel M. Bornman

10 papers receiving 705 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel M. Bornman United States 10 496 161 116 114 89 10 724
W Ogunkolade United Kingdom 12 230 0.5× 64 0.4× 75 0.6× 112 1.0× 41 0.5× 24 554
Xiaoya Ma China 14 343 0.7× 161 1.0× 125 1.1× 101 0.9× 54 0.6× 27 810
Arulkumaran Shanmugam United States 9 357 0.7× 80 0.5× 126 1.1× 109 1.0× 47 0.5× 14 659
Wing Yin Cheng Hong Kong 10 521 1.1× 199 1.2× 175 1.5× 40 0.4× 54 0.6× 11 720
Felix Aikhionbare United States 18 509 1.0× 79 0.5× 91 0.8× 48 0.4× 73 0.8× 37 769
Li C China 14 239 0.5× 103 0.6× 78 0.7× 68 0.6× 114 1.3× 112 572
Yifeng Lin China 12 459 0.9× 110 0.7× 168 1.4× 50 0.4× 73 0.8× 16 661
Noelia Valle Spain 13 411 0.8× 135 0.8× 152 1.3× 373 3.3× 43 0.5× 16 890

Countries citing papers authored by Daniel M. Bornman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel M. Bornman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Bornman. A scholar is included among the top collaborators of Daniel M. Bornman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel M. Bornman. Daniel M. Bornman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hasan, Nur A., Brian Young, Angela Minard-Smith, et al.. (2014). Microbial Community Profiling of Human Saliva Using Shotgun Metagenomic Sequencing. PLoS ONE. 9(5). e97699–e97699. 155 indexed citations
2.
Bornman, Daniel M., Mark E. Hester, Jared Schuetter, et al.. (2012). Short-read, high-throughput sequencing technology for STR genotyping. BioTechniques. 2012. 1–6. 73 indexed citations
3.
Rogers, James V., et al.. (2007). Transcriptional responses in spleens from mice exposed to Yersinia pestis CO92. Microbial Pathogenesis. 43(2-3). 67–77. 11 indexed citations
4.
Taube, Janis M., et al.. (2006). Langerhans cell density and high‐grade vulvar intraepithelial neoplasia in women with human immunodeficiency virus infection. Journal of Cutaneous Pathology. 34(7). 565–570. 11 indexed citations
5.
Bae, Young Kyung, Amy L. Brown, Elizabeth Garrett, et al.. (2004). Hypermethylation in Histologically Distinct Classes of Breast Cancer. Clinical Cancer Research. 10(18). 5998–6005. 92 indexed citations
6.
Morin, Patrice J., et al.. (2003). Regulation of fatty acid synthase expression in breast cancer by sterol regulatory element binding protein-1c. Experimental Cell Research. 282(2). 132–137. 128 indexed citations
7.
Fujii, Hiroaki, Ramaswamy Anbazhagan, Daniel M. Bornman, et al.. (2002). Mucinous Cancers have Fewer Genomic Alterations than More Common Classes of Breast Cancer. Breast Cancer Research and Treatment. 76(3). 255–260. 30 indexed citations
8.
Bornman, Daniel M., et al.. (2001). Methylation of the E-cadherin Gene in Bladder Neoplasia and in Normal Urothelial Epithelium from Elderly Individuals. American Journal Of Pathology. 159(3). 831–835. 104 indexed citations
9.
Anbazhagan, Ramaswamy, Tarık Tihan, Daniel M. Bornman, et al.. (1999). Classification of small cell lung cancer and pulmonary carcinoid by gene expression profiles.. PubMed. 59(20). 5119–22. 96 indexed citations
10.
Anbazhagan, Ramaswamy, Daniel M. Bornman, James C. Johnston, William H. Westra, & Edward Gabrielson. (1999). 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.. PubMed. 59(14). 3363–4. 24 indexed citations

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.

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