Kenneth P. Nephew
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Oncology top 0.5%
- Genetics top 0.5%
- Immunology top 2%
- Co-authors
- Daniela MateiPearlly S. YanCurt BalchMeiyun FanJeanne M. SchilderTim H-M. HuangRobert M. BigsbyXinghua Long
- Topics
- Epigenetics and DNA Methylation (89 papers)RNA modifications and cancer (47 papers)Cancer-related molecular mechanisms research (44 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Kenneth P. Nephew
256 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 8.8k
- Cancer Research 3.9k
- Oncology 3.0k
- Genetics 2.0k
- Immunology 1.2k
Countries citing papers authored by Kenneth P. Nephew
This map shows the geographic impact of Kenneth P. Nephew'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 Kenneth P. Nephew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth P. Nephew more than expected).
Fields of papers citing papers by Kenneth P. Nephew
This network shows the impact of papers produced by Kenneth P. Nephew. 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 Kenneth P. Nephew. The network helps show where Kenneth P. Nephew may publish in the future.
Co-authorship network of co-authors of Kenneth P. Nephew
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth P. Nephew. A scholar is included among the top collaborators of Kenneth P. Nephew 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 Kenneth P. Nephew. Kenneth P. Nephew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 21 | |
| 4 | 45 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 19 | |
| 8 | 95 | |
| 9 | 78 | |
| 10 | 81 | |
| 11 | 24 | |
| 12 | 79 | |
| 13 | 73 | |
| 14 | 20 | |
| 15 | 112 | |
| 16 | Identification and Characterization of Ovarian Cancer-Initiating Cells from Primary Human Tumorsbreakdown → | 1055 |
| 17 | 82 | |
| 18 | 194 | |
| 19 | 110 | |
| 20 | 153 |
About Kenneth P. Nephew
Kenneth P. Nephew is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 264 papers that have together received 13.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (89 papers), RNA modifications and cancer (47 papers) and Cancer-related molecular mechanisms research (44 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (8.8k citations) and Reproductive Medicine (1.0k citations). Kenneth P. Nephew has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Daniela Matei, Pearlly S. Yan, Curt Balch, Meiyun Fan, Jeanne M. Schilder, Tim H-M. Huang, Robert M. Bigsby, Xinghua Long, Yunlong Liu and Hung‐Cheng Lai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.