David Klinkebiel

2.3k total citations
35 papers, 1.1k citations indexed

About

David Klinkebiel is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, David Klinkebiel has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in David Klinkebiel's work include Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (11 papers) and RNA modifications and cancer (7 papers). David Klinkebiel is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (11 papers) and RNA modifications and cancer (7 papers). David Klinkebiel collaborates with scholars based in United States, China and Hong Kong. David Klinkebiel's co-authors include Adam R. Karpf, Kunle Odunsi, Wa Zhang, Judith K. Christman, Javeed Iqbal, Carter J. Barger, Huimin Geng, Edward Seto, Jana Opavska and Abdulelah A. Alqarzaee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

David Klinkebiel

34 papers receiving 1.1k citations

Peers

David Klinkebiel
James Pan United States
David Klinkebiel
Citations per year, relative to David Klinkebiel David Klinkebiel (= 1×) peers James Pan

Countries citing papers authored by David Klinkebiel

Since Specialization
Citations

This map shows the geographic impact of David Klinkebiel'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 David Klinkebiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Klinkebiel more than expected).

Fields of papers citing papers by David Klinkebiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Klinkebiel. 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 David Klinkebiel. The network helps show where David Klinkebiel may publish in the future.

Co-authorship network of co-authors of David Klinkebiel

This figure shows the co-authorship network connecting the top 25 collaborators of David Klinkebiel. A scholar is included among the top collaborators of David Klinkebiel 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 David Klinkebiel. David Klinkebiel 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.
Kour, Smit, Sandeep Rana, Smitha Kizhake, et al.. (2022). Spirocyclic dimer SpiD7 activates the unfolded protein response to selectively inhibit growth and induce apoptosis of cancer cells. Journal of Biological Chemistry. 298(5). 101890–101890. 8 indexed citations
2.
Perumal, Naveenkumar, Ranjana Kanchan, Pranita Atri, et al.. (2021). MiR-212-3p functions as a tumor suppressor gene in group 3 medulloblastoma via targeting nuclear factor I/B (NFIB). Acta Neuropathologica Communications. 9(1). 195–195. 12 indexed citations
3.
Heim, Cortney E., Megan E. Bosch, Kelsey J. Yamada, et al.. (2020). Lactate production by Staphylococcus aureus biofilm inhibits HDAC11 to reprogramme the host immune response during persistent infection. Nature Microbiology. 5(10). 1271–1284. 168 indexed citations
4.
LeVan, Tricia D., Kevin Kupzyk, Fang Qiu, et al.. (2019). Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer. SHILAP Revista de lepidopterología. 17(1). 6–6. 6 indexed citations
5.
Barger, Carter J., Wa Zhang, Ashok Sharma, et al.. (2018). Expression of the POTE gene family in human ovarian cancer. Scientific Reports. 8(1). 17136–17136. 23 indexed citations
6.
Wang, Zhan, Xingcheng Chen, Shuping Yang, et al.. (2018). Cyclin-dependent kinase 1-mediated phosphorylation of YES links mitotic arrest and apoptosis during antitubulin chemotherapy. Cellular Signalling. 52. 137–146. 14 indexed citations
7.
Ruegsegger, Gregory N., Terese M. Zidon, Thomas E. Childs, et al.. (2017). Maternal Western diet age‐specifically alters female offspring voluntary physical activity and dopamine‐ and leptin‐related gene expression. The FASEB Journal. 31(12). 5371–5383. 19 indexed citations
8.
Klinkebiel, David, Wa Zhang, Stacey N. Akers, Kunle Odunsi, & Adam R. Karpf. (2016). DNA Methylome Analyses Implicate Fallopian Tube Epithelia as the Origin for High-Grade Serous Ovarian Cancer. Molecular Cancer Research. 14(9). 787–794. 36 indexed citations
9.
Haney, Staci L., Jana Opavska, David Klinkebiel, et al.. (2016). Promoter Hypomethylation and Expression Is Conserved in Mouse Chronic Lymphocytic Leukemia Induced by Decreased or Inactivated Dnmt3a. Cell Reports. 15(6). 1190–1201. 28 indexed citations
10.
Haney, Staci L., Jana Opavska, David Klinkebiel, et al.. (2016). Dnmt3a Is a Haploinsufficient Tumor Suppressor in CD8+ Peripheral T Cell Lymphoma. PLoS Genetics. 12(9). e1006334–e1006334. 32 indexed citations
11.
Haney, Staci L., Jana Opavska, David Klinkebiel, et al.. (2016). Loss of Dnmt3a induces CLL and PTCL with distinct methylomes and transcriptomes in mice. Scientific Reports. 6(1). 34222–34222. 12 indexed citations
12.
Baccaglini, Lorena, et al.. (2016). Epigenetic Dysregulation of Insulin-like Growth Factor (IGF)-related Genes and Adverse Pregnancy Outcomes: A Systematic Review. The Journal of Maternal-Fetal & Neonatal Medicine. 29(21). 1–26. 9 indexed citations
13.
Küçük, Can, Xiaozhou Hu, Bei Jiang, et al.. (2015). Global Promoter Methylation Analysis Reveals Novel Candidate Tumor Suppressor Genes in Natural Killer Cell Lymphoma. Clinical Cancer Research. 21(7). 1699–1711. 81 indexed citations
14.
Haney, Staci L., Ryan A. Hlady, Jana Opavska, et al.. (2015). Methylation-independent repression of Dnmt3b contributes to oncogenic activity of Dnmt3a in mouse MYC-induced T-cell lymphomagenesis. Oncogene. 34(43). 5436–5446. 20 indexed citations
15.
Tian, Changhai, Qiang Liu, Yongxiang Wang, et al.. (2013). Characterization of Induced Neural Progenitors from Skin Fibroblasts by a Novel Combination of Defined Factors. Scientific Reports. 3(1). 1345–1345. 14 indexed citations
16.
Küçük, Can, Xiaozhou Hu, Javeed Iqbal, et al.. (2012). HACE1 Is a Tumor Suppressor Gene Candidate in Natural Killer Cell Neoplasms. American Journal Of Pathology. 182(1). 49–55. 46 indexed citations
17.
Chachadi, Vishwanath B., Helen Cheng, David Klinkebiel, Judith K. Christman, & Pi-Wan Cheng. (2010). 5-Aza-2′-deoxycytidine increases sialyl Lewis X on MUC1 by stimulating β-galactoside:α2,3-sialyltransferase 6 gene. The International Journal of Biochemistry & Cell Biology. 43(4). 586–593. 26 indexed citations
18.
Iqbal, Javeed, Ronald J. deLeeuw, Gopesh Srivastava, et al.. (2009). Genomic analyses reveal global functional alterations that promote tumor growth and novel tumor suppressor genes in natural killer-cell malignancies. Leukemia. 23(6). 1139–1151. 145 indexed citations
19.
Radhakrishnan, Prakash, Hesham Basma, David Klinkebiel, Judith K. Christman, & Pi-Wan Cheng. (2008). Cell type-specific activation of the cytomegalovirus promoter by dimethylsulfoxide and 5-Aza-2'-deoxycytidine. The International Journal of Biochemistry & Cell Biology. 40(9). 1944–1955. 15 indexed citations
20.
Chew, Yap Ching, John T. West, Joel C. Eissenberg, et al.. (2008). Biotinylation of Histones Represses Transposable Elements in Human and Mouse Cells and Cell Lines and in Drosophila melanogaster3. Journal of Nutrition. 138(12). 2316–2322. 53 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.

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