Matthew Neely
Impact in
- Environmental Chemistry top 5%
- Arsenic contamination and mitigation
-
- Heavy Metal Exposure and Toxicity
Papers in
- Surgery 1
- Co-authors
- Subbarao V. Kala (2 shared papers)Michael W. Lieberman (2 shared papers)Jeffrey S. Rice (1 shared paper)Geeta Kala (1 shared paper)Ernest D. Lykissa (2 shared papers)W. A. Sistrunk (2 shared papers)Alan L. Buchman (1 shared paper)Luan D. Truong (1 shared paper)
- Journals
- Journal of Food Science (2 papers)Journal of Biological Chemistry (1 paper)Nutrition (1 paper)Analytical Chemistry (1 paper)Journal of Separation Science (1 paper)
- Partner nations
- United StatesHungaryAustralia
In The Last Decade
Matthew Neely
10 papers receiving 387 citations
Peers
Comparison fields: 5 of 76
- Environmental Chemistry 182
- Health, Toxicology and Mutagenesis 127
- Nutrition and Dietetics 99
- Bioengineering 27
- Electrochemistry 27
Countries citing papers authored by Matthew Neely
This map shows the geographic impact of Matthew Neely'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 Matthew Neely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Neely more than expected).
Fields of papers citing papers by Matthew Neely
This network shows the impact of papers produced by Matthew Neely. 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 Matthew Neely. The network helps show where Matthew Neely may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Neely, 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 | 2000 | 263 | |
| 2 | Low molecular weight silicones are widely distributed after a single subcutaneous injection in mice. | 1998 | 35 |
| 3 | 1980 | 26 | |
| 4 | 2005 | 26 | |
| 5 | 2001 | 25 | |
| 6 | 2009 | 17 | |
| 7 | 1979 | 4 | |
| 8 | Teaching Data Quality Concepts Through Case Studies | 1999 | 3 |
| 9 | 2024 | 2 | |
| 10 | 2019 | 1 |
About Matthew Neely
Matthew Neely is a scholar working on Electrical and Electronic Engineering, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Information Systems, having authored 10 papers that have together received 402 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Retinoids in leukemia and cellular processes (1 paper), Soybean genetics and cultivation (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Data Quality and Management (1 paper), Research Data Management Practices (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Environmental Chemistry (182 citations), Health, Toxicology and Mutagenesis (127 citations), Nutrition and Dietetics (99 citations), Bioengineering (27 citations) and Electrochemistry (27 citations). Matthew Neely has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Subbarao V. Kala, Michael W. Lieberman, Jeffrey S. Rice, Geeta Kala, Ernest D. Lykissa, W. A. Sistrunk, Alan L. Buchman, Luan D. Truong, Yehia Mechref and Chulkyun Ahn. Their work appears in journals such as Journal of Food Science, Journal of Biological Chemistry, Nutrition, Analytical Chemistry and Journal of Separation Science.
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.