Ben Nie
Impact in
- Toxicology top 10%
Papers in
-
- DNA Repair Mechanisms 4
-
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Robert D. Arnold (14 shared papers)Mutsuo Sekiguchi (4 shared papers)Wei Gan (4 shared papers)Jian‐Ping Cai (4 shared papers)Brian S. Cummings (3 shared papers)Hiroshi Hayakawa (4 shared papers)Fei Shi (4 shared papers)Jack D. Henion (2 shared papers)
- Journals
- American Journal of Veterinary Research (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Cancer Biomarkers (1 paper)The FASEB Journal (1 paper)Free Radical Research (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ben Nie
25 papers receiving 698 citations
Peers
Comparison fields: 5 of 112
- Aging 13
- Toxicology 20
- Internal Medicine 12
- Molecular Biology 260
- Physiology 89
Countries citing papers authored by Ben Nie
This map shows the geographic impact of Ben Nie'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 Ben Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Nie more than expected).
Fields of papers citing papers by Ben Nie
This network shows the impact of papers produced by Ben Nie. 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 Ben Nie. The network helps show where Ben Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Nie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 94 | |
| 2 | 2016 | 90 | |
| 3 | 2017 | 86 | |
| 4 | 2012 | 82 | |
| 5 | 2013 | 69 | |
| 6 | 2015 | 53 | |
| 7 | 2019 | 46 | |
| 8 | 2012 | 37 | |
| 9 | 2015 | 35 | |
| 10 | 2016 | 29 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2016 | 13 | |
| 15 | 2015 | 10 | |
| 16 | 2015 | 6 | |
| 17 | 2016 | 4 | |
| 18 | 2020 | 3 | |
| 19 | Analysis of Veterinary Hemp-Based Oils for Product Integrity by LC/MS | 2019 | 3 |
| 20 | 2021 | 2 |
About Ben Nie
Ben Nie is a scholar working on Molecular Biology, Cancer Research, Rehabilitation, Cell Biology and Electrical and Electronic Engineering, having authored 27 papers that have together received 719 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (3 papers), Metal and Thin Film Mechanics (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). The work is most often cited by research in Aging (13 citations), Toxicology (20 citations), Internal Medicine (12 citations), Molecular Biology (260 citations) and Physiology (89 citations). Ben Nie has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert D. Arnold, Mutsuo Sekiguchi, Wei Gan, Jian‐Ping Cai, Brian S. Cummings, Hiroshi Hayakawa, Fei Shi, Jack D. Henion, Imelda Ryona and Yasumitsu Takagi. Their work appears in journals such as American Journal of Veterinary Research, Journal of the American Society for Mass Spectrometry, Cancer Biomarkers, The FASEB Journal and Free Radical 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.