Collene Jeter
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in ⓘ
-
- Adenosine and Purinergic Signaling 3
- Oncology 16
- Cancer Cells and Metastasis 11
- Co-authors
- Dean G. Tang (21 shared papers)Tammy Calhoun‐Davis (9 shared papers)Can Liu (6 shared papers)Xin Chen (10 shared papers)Bigang Liu (10 shared papers)Lubna Patrawala (5 shared papers)Hangwen Li (4 shared papers)Sofia Honorio (3 shared papers)
- Journals
- Oncotarget (3 papers)Molecular Carcinogenesis (2 papers)Nature Communications (2 papers)Stem Cells (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Collene Jeter
32 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 1.4k
- Oncology 1.3k
- Molecular Biology 2.2k
- Physiology 122
- Pulmonary and Respiratory Medicine 673
Countries citing papers authored by Collene Jeter
This map shows the geographic impact of Collene Jeter'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 Collene Jeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Collene Jeter more than expected).
Fields of papers citing papers by Collene Jeter
This network shows the impact of papers produced by Collene Jeter. 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 Collene Jeter. The network helps show where Collene Jeter may publish in the future.
Co-authors
The 25 scholars most cited alongside Collene Jeter, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44 Hit paper breakdown → | 2011 | 1136 |
| 2 | 2011 | 302 | |
| 3 | 2009 | 280 | |
| 4 | 2012 | 243 | |
| 5 | 2015 | 180 | |
| 6 | 2006 | 178 | |
| 7 | 2004 | 159 | |
| 8 | 2014 | 114 | |
| 9 | 2015 | 86 | |
| 10 | 2021 | 84 | |
| 11 | 2016 | 75 | |
| 12 | 2015 | 58 | |
| 13 | 2000 | 50 | |
| 14 | 2016 | 45 | |
| 15 | 2016 | 42 | |
| 16 | 2013 | 35 | |
| 17 | 2008 | 31 | |
| 18 | 2009 | 30 | |
| 19 | 2019 | 30 | |
| 20 | 2017 | 29 |
About Collene Jeter
Collene Jeter is a scholar working on Physiology, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Prostate Cancer Treatment and Research (7 papers), Pluripotent Stem Cells Research (6 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (3 papers), Animal Genetics and Reproduction (3 papers), Renal and related cancers (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.3k citations), Molecular Biology (2.2k citations), Physiology (122 citations) and Pulmonary and Respiratory Medicine (673 citations). Collene Jeter has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dean G. Tang, Tammy Calhoun‐Davis, Can Liu, Xin Chen, Bigang Liu, Lubna Patrawala, Hangwen Li, Sofia Honorio, Jason F. Wiggins and David T. Brown. Their work appears in journals such as Oncotarget, Molecular Carcinogenesis, Nature Communications, Stem Cells and Stem Cell Reports.
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.