Daniel P. Harris

580 total citations
10 papers, 459 citations indexed

About

Daniel P. Harris is a scholar working on Molecular Biology, Ecology and Environmental Engineering. According to data from OpenAlex, Daniel P. Harris has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Environmental Engineering. Recurrent topics in Daniel P. Harris's work include Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers) and Microbial Community Ecology and Physiology (2 papers). Daniel P. Harris is often cited by papers focused on Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers) and Microbial Community Ecology and Physiology (2 papers). Daniel P. Harris collaborates with scholars based in United States. Daniel P. Harris's co-authors include Jason H. Mateika, Belinda Willard, Smarajit Bandyopadhyay, Paul E. DiCorleto, M. Safwan Badr, Feng Luo, Jizhong Zhou, Yunfeng Yang, Liyou Wu and Anthony V. Palumbo and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Daniel P. Harris

9 papers receiving 454 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 P. Harris United States 9 231 105 49 49 48 10 459
Takashi Eto Japan 9 95 0.4× 119 1.1× 4 0.1× 96 2.0× 61 1.3× 37 443
Daniel L. Johnson United States 11 163 0.7× 9 0.1× 9 0.2× 69 1.4× 73 1.5× 41 417
Min Pan China 13 295 1.3× 62 0.6× 2 0.0× 72 1.5× 29 0.6× 39 580
In Sun Park South Korea 10 170 0.7× 62 0.6× 3 0.1× 224 4.6× 44 0.9× 24 518
Xiaohua Liu China 12 360 1.6× 13 0.1× 3 0.1× 44 0.9× 29 0.6× 35 510
Sang‐Soon Park South Korea 14 131 0.6× 69 0.7× 14 0.3× 94 1.9× 17 0.4× 56 774
Irene Chang United States 11 111 0.5× 50 0.5× 2 0.0× 40 0.8× 62 1.3× 18 352
Natarajan India 9 68 0.3× 25 0.2× 4 0.1× 15 0.3× 7 0.1× 40 387
Patricia Wu United States 14 191 0.8× 12 0.1× 2 0.0× 22 0.4× 34 0.7× 29 656

Countries citing papers authored by Daniel P. Harris

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Harris'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 P. Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Harris more than expected).

Fields of papers citing papers by Daniel P. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Harris. 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 P. Harris. The network helps show where Daniel P. Harris may publish in the future.

Co-authorship network of co-authors of Daniel P. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Harris. A scholar is included among the top collaborators of Daniel P. Harris 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 P. Harris. Daniel P. Harris 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.
Fisher, Adam C., Sau L. Lee, Daniel P. Harris, et al.. (2016). Advancing pharmaceutical quality: An overview of science and research in the U.S. FDA’s Office of Pharmaceutical Quality. International Journal of Pharmaceutics. 515(1-2). 390–402. 60 indexed citations
2.
Harris, Daniel P., Unnikrishnan M. Chandrasekharan, Smarajit Bandyopadhyay, Belinda Willard, & Paul E. DiCorleto. (2016). PRMT5-Mediated Methylation of NF-κB p65 at Arg174 Is Required for Endothelial CXCL11 Gene Induction in Response to TNF-α and IFN-γ Costimulation. PLoS ONE. 11(2). e0148905–e0148905. 29 indexed citations
3.
4.
Bandyopadhyay, Smarajit, Daniel P. Harris, Gregory N. Adams, et al.. (2012). HOXA9 Methylation by PRMT5 Is Essential for Endothelial Cell Expression of Leukocyte Adhesion Molecules. Molecular and Cellular Biology. 32(7). 1202–1213. 76 indexed citations
5.
Yang, Yunfeng, Daniel P. Harris, Feng Luo, et al.. (2009). Snapshot of iron response in Shewanella oneidensis by gene network reconstruction. BMC Genomics. 10(1). 131–131. 44 indexed citations
6.
Harris, Daniel P.. (2008). Web 2.0 Evolution into The Intelligent Web 3.0: 100 Most Asked Questions on Transformation, Ubiquitous Connectivity, Network Computing, Open Technologies, ... Databases and Intelligent Applications. 10 indexed citations
7.
Yang, Yunfeng, Daniel P. Harris, Feng Luo, et al.. (2008). Characterization of the Shewanella oneidensis Fur gene: roles in iron and acid tolerance response. BMC Genomics. 9(Suppl 1). S11–S11. 56 indexed citations
8.
Harris, Daniel P., et al.. (2006). Long-term facilitation of ventilation and genioglossus muscle activity is evident in the presence of elevated levels of carbon dioxide in awake humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 291(4). R1111–R1119. 106 indexed citations
9.
Harris, Daniel P.. (1995). Who really owns “your” software programs?. Journal of Systems and Software. 29(2). 191–193.
10.
Harris, Daniel P. & James W. Hall. (1990). Feasibility of Auditory Event-Related Potential Measurement in Brain Injury Rehabilitation. Ear and Hearing. 11(5). 340–350. 11 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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