Collene Jeter

4.5k total citations · 1 hit paper
33 papers, 3.3k citations indexed

About

Collene Jeter is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Collene Jeter has authored 33 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Collene Jeter's work include Cancer Cells and Metastasis (11 papers), Prostate Cancer Treatment and Research (7 papers) and Pluripotent Stem Cells Research (6 papers). Collene Jeter is often cited by papers focused on Cancer Cells and Metastasis (11 papers), Prostate Cancer Treatment and Research (7 papers) and Pluripotent Stem Cells Research (6 papers). Collene Jeter collaborates with scholars based in United States, China and Germany. Collene Jeter's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Collene Jeter

32 papers receiving 3.3k citations

Hit Papers

The microRNA miR-34a inhibits prostate cancer stem cells ... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Collene Jeter United States 22 2.2k 1.4k 1.3k 673 222 33 3.3k
Naoki Shinojima Japan 26 1.3k 0.6× 602 0.4× 682 0.5× 283 0.4× 177 0.8× 80 3.0k
Pedro A. Pérez–Mancera United Kingdom 24 2.1k 0.9× 935 0.7× 1.0k 0.8× 225 0.3× 295 1.3× 38 3.1k
Xiaofeng Zheng United States 22 1.7k 0.7× 917 0.7× 1.6k 1.2× 300 0.4× 272 1.2× 52 2.9k
Naoharu Takano Japan 23 1.3k 0.6× 978 0.7× 595 0.5× 159 0.2× 182 0.8× 45 2.5k
Zhenhe Suo Norway 32 1.8k 0.8× 872 0.6× 1.3k 1.0× 447 0.7× 290 1.3× 107 3.1k
Julien Wicinski France 10 1.5k 0.6× 920 0.7× 1.6k 1.2× 372 0.6× 152 0.7× 16 2.6k
Sajani S. Lakka United States 33 1.7k 0.7× 1.4k 1.0× 860 0.7× 209 0.3× 195 0.9× 56 3.0k
Baocun Sun China 38 2.1k 1.0× 1.3k 1.0× 974 0.7× 294 0.4× 197 0.9× 64 2.9k
Christopher S. Gondi United States 32 1.6k 0.7× 1.1k 0.8× 772 0.6× 176 0.3× 225 1.0× 70 2.8k

Countries citing papers authored by Collene Jeter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Collene Jeter

This figure shows the co-authorship network connecting the top 25 collaborators of Collene Jeter. A scholar is included among the top collaborators of Collene Jeter 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 Collene Jeter. Collene Jeter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Leilei, Morgan Dasovich, J.R. Horton, et al.. (2025). Nuclear poly(A)-binding protein and nucleolin utilize their RNA recognition motifs to read PAR chains. Nucleic Acids Research. 53(20).
2.
Dobrolecki, Lacey E., Xudong Zhang, Li Yang, et al.. (2024). UBA1 inhibition sensitizes cancer cells to PARP inhibitors. Cell Reports Medicine. 5(12). 101834–101834. 4 indexed citations
3.
Patel, Bhakti, Yifan Zhou, Feiyang Ma, et al.. (2024). STAT3 protects hematopoietic stem cells by preventing activation of a deleterious autocrine type-I interferon response. Leukemia. 38(5). 1143–1155. 2 indexed citations
4.
Cho, Eun Jeong, Collene Jeter, Somshuvra Mukhopadhyay, et al.. (2024). Unexpected inhibition of the lipid kinase PIKfyve reveals an epistatic role for p38 MAPKs in endolysosomal fission and volume control. Cell Death and Disease. 15(1). 80–80. 8 indexed citations
5.
Mise, Koki, Jianyin Long, Daniel L. Galvan, et al.. (2024). NDUFS4 regulates cristae remodeling in diabetic kidney disease. Nature Communications. 15(1). 1965–1965. 16 indexed citations
6.
Kumar, Rahul, et al.. (2021). Slow-cycling (dormant) cancer cells in therapy resistance, cancer relapse and metastasis. Seminars in Cancer Biology. 78. 90–103. 84 indexed citations
7.
Yang, Fen, Jianji Chen, Bin Liu, et al.. (2021). SPINDOC binds PARP1 to facilitate PARylation. Nature Communications. 12(1). 6362–6362. 14 indexed citations
8.
Zhang, Dingxiao, Collene Jeter, Shuai Gong, et al.. (2017). Histone 2B-GFP Label-Retaining Prostate Luminal Cells Possess Progenitor Cell Properties and Are Intrinsically Resistant to Castration. Stem Cell Reports. 10(1). 228–242. 29 indexed citations
9.
Wang, Li, Evangelia Koutelou, Calley Hirsch, et al.. (2017). GCN5 Regulates FGF Signaling and Activates Selective MYC Target Genes during Early Embryoid Body Differentiation. Stem Cell Reports. 10(1). 287–299. 23 indexed citations
10.
Chen, Xin, Qiuhui Li, Xin Liu, et al.. (2016). Defining a Population of Stem-like Human Prostate Cancer Cells That Can Generate and Propagate Castration-Resistant Prostate Cancer. Clinical Cancer Research. 22(17). 4505–4516. 75 indexed citations
11.
Jeter, Collene, Bigang Liu, Yue Lu, et al.. (2016). NANOG reprograms prostate cancer cells to castration resistance via dynamically repressing and engaging the AR/FOXA1 signaling axis. Cell Discovery. 2(1). 16041–16041. 42 indexed citations
12.
Gong, Shuai, et al.. (2015). Regulation of NANOG in cancer cells. Molecular Carcinogenesis. 54(9). 679–687. 86 indexed citations
13.
Liu, Xin, Xin Chen, Kiera Rycaj, et al.. (2015). Systematic dissection of phenotypic, functional, and tumorigenic heterogeneity of human prostate cancer cells. Oncotarget. 6(27). 23959–23986. 58 indexed citations
14.
Jin, Min, Tao Zhang, Can Liu, et al.. (2014). miRNA-128 Suppresses Prostate Cancer by Inhibiting BMI-1 to Inhibit Tumor-Initiating Cells. Cancer Research. 74(15). 4183–4195. 114 indexed citations
15.
Liu, Bigang, Mark Badeaux, Grace Choy, et al.. (2014). Nanog1 in NTERA-2 and Recombinant NanogP8 from Somatic Cancer Cells Adopt Multiple Protein Conformations and Migrate at Multiple M.W Species. PLoS ONE. 9(3). e90615–e90615. 13 indexed citations
16.
Liu, Can, Kevin Kelnar, Bigang Liu, et al.. (2011). The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nature Medicine. 17(2). 211–215. 1136 indexed citations breakdown →
17.
Li, Hangwen, Ming Jiang, Sofia Honorio, et al.. (2009). Methodologies in Assaying Prostate Cancer Stem Cells. Methods in molecular biology. 568. 85–138. 30 indexed citations
18.
Tang, Dean G., Lubna Patrawala, Bobby Bhatia, et al.. (2006). Prostate cancer stem/progenitor cells: Identification, characterization, and implications. Molecular Carcinogenesis. 46(1). 1–14. 178 indexed citations
19.
Jeter, Collene & Stanley J. Roux. (2006). Plant responses to extracellular nucleotides: Cellular processes and biological effects. Purinergic Signalling. 2(3). 443–9. 18 indexed citations
20.
Jeter, Collene, et al.. (2004). Evidence of a Novel Cell Signaling Role for Extracellular Adenosine Triphosphates and Diphosphates in Arabidopsis. The Plant Cell. 16(10). 2652–2664. 159 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026