Daniel P. Harris
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
-
- Microbial Fuel Cells and Bioremediation
Papers in
-
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Genomics and Phylogenetic Studies 2
- Ecology 2
- Microbial Community Ecology and Physiology 2
- Co-authors
- Jason H. Mateika (1 shared paper)Belinda Willard (3 shared papers)Paul E. DiCorleto (3 shared papers)M. Safwan Badr (1 shared paper)Smarajit Bandyopadhyay (3 shared papers)Liyou Wu (2 shared papers)Yunfeng Yang (2 shared papers)Feng Luo (2 shared papers)
- Journals
- BMC Genomics (2 papers)Molecular and Cellular Biology (1 paper)Ear and Hearing (1 paper)Journal of Systems and Software (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel P. Harris
9 papers receiving 454 citations
Peers
Comparison fields: 5 of 100
- Endocrine and Autonomic Systems 105
- Environmental Engineering 49
- Molecular Biology 231
- Physiology 49
- Cognitive Neuroscience 35
Countries citing papers authored by Daniel P. Harris
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
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-authors
The 25 scholars most cited alongside Daniel P. Harris, 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 | 106 | |
| 2 | 2012 | 76 | |
| 3 | 2014 | 67 | |
| 4 | 2016 | 60 | |
| 5 | 2008 | 56 | |
| 6 | 2009 | 44 | |
| 7 | 2016 | 29 | |
| 8 | 1990 | 11 | |
| 9 | 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 | 2008 | 10 |
| 10 | 1995 | 0 |
About Daniel P. Harris
Daniel P. Harris is a scholar working on Molecular Biology, Ecology, Environmental Engineering, Occupational Therapy and Endocrine and Autonomic Systems, having authored 10 papers that have together received 459 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Neuroscience of respiration and sleep (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (105 citations), Environmental Engineering (49 citations), Molecular Biology (231 citations), Physiology (49 citations) and Cognitive Neuroscience (35 citations). Daniel P. Harris has collaborated with scholars based in United States. Frequent co-authors include Jason H. Mateika, Belinda Willard, Paul E. DiCorleto, M. Safwan Badr, Smarajit Bandyopadhyay, Liyou Wu, Yunfeng Yang, Feng Luo, Jizhong Zhou and Anthony V. Palumbo. Their work appears in journals such as BMC Genomics, Molecular and Cellular Biology, Ear and Hearing, Journal of Systems and Software and International Journal of Pharmaceutics.
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.