Thomas E. Ahlborn

433 total citations
10 papers, 380 citations indexed

About

Thomas E. Ahlborn is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Thomas E. Ahlborn has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Thomas E. Ahlborn's work include Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (3 papers) and Potato Plant Research (2 papers). Thomas E. Ahlborn is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (3 papers) and Potato Plant Research (2 papers). Thomas E. Ahlborn collaborates with scholars based in United States and Japan. Thomas E. Ahlborn's co-authors include Fredric B. Kraemer, Jingwen Liu, Michael R. Briggs, Cong Li, Jingwen Liu, Cong Li, Yongsheng Ma, Anu Gupta, Eric Shi and Andrew J. Wyrobek and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Endocrinology.

In The Last Decade

Thomas E. Ahlborn

10 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Ahlborn United States 9 191 89 81 79 75 10 380
Pierre-Marie Martin France 12 146 0.8× 122 1.4× 62 0.8× 16 0.2× 52 0.7× 16 372
E. Aaron Runkle United States 9 348 1.8× 79 0.9× 32 0.4× 32 0.4× 158 2.1× 10 600
M. Vijaya Kumar India 9 271 1.4× 174 2.0× 30 0.4× 51 0.6× 97 1.3× 11 425
Wan-Ru Lee United States 12 276 1.4× 69 0.8× 78 1.0× 186 2.4× 59 0.8× 12 515
Jia‐Hao Xiao United States 8 358 1.9× 133 1.5× 131 1.6× 68 0.9× 37 0.5× 8 548
Hafedh Dekhil Canada 10 212 1.1× 86 1.0× 36 0.4× 18 0.2× 37 0.5× 13 387
Woo‐Young Seo South Korea 12 325 1.7× 39 0.4× 54 0.7× 136 1.7× 53 0.7× 18 533
Yongli Bai United States 12 543 2.8× 67 0.8× 88 1.1× 22 0.3× 84 1.1× 20 717

Countries citing papers authored by Thomas E. Ahlborn

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Ahlborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Ahlborn. 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 Thomas E. Ahlborn. The network helps show where Thomas E. Ahlborn may publish in the future.

Co-authorship network of co-authors of Thomas E. Ahlborn

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

All Works

10 of 10 papers shown
1.
Zhang, Fang, Thomas E. Ahlborn, Cong Li, Fredric B. Kraemer, & Jingwen Liu. (2002). Identification of Egr1 as the oncostatin M-induced transcription activator that binds to sterol-independent regulatory element of human LDL receptor promoter. Journal of Lipid Research. 43(9). 1477–1485. 23 indexed citations
2.
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Li, Cong, et al.. (2001). Oncostatin M–induced growth inhibition and morphological changes of MDA‐MB231 breast cancer cells are abolished by blocking the MEK/ERK signaling pathway. Breast Cancer Research and Treatment. 66(2). 111–121. 31 indexed citations
5.
Li, Cong, Michael R. Briggs, Thomas E. Ahlborn, Fredric B. Kraemer, & Jingwen Liu. (2001). Requirement of Sp1 and Estrogen Receptor α Interaction in 17β-Estradiol-Mediated Transcriptional Activation of the Low Density Lipoprotein Receptor Gene Expression*. Endocrinology. 142(4). 1546–1553. 93 indexed citations
6.
Liu, Jingwen, Thomas E. Ahlborn, Michael R. Briggs, & Fredric B. Kraemer. (2000). Identification of a Novel Sterol-independent Regulatory Element in the Human Low Density Lipoprotein Receptor Promoter. Journal of Biological Chemistry. 275(7). 5214–5221. 51 indexed citations
7.
Holland, Nina, Thomas E. Ahlborn, Kenneth W. Turteltaub, et al.. (1999). Acrylamide causes preimplantation abnormalities in embryos and induces chromatin-adducts in male germ cells of mice. Reproductive Toxicology. 13(3). 167–178. 25 indexed citations
8.
Li, Cong, Fredric B. Kraemer, Thomas E. Ahlborn, & Jingwen Liu. (1999). Induction of Low Density Lipoprotein Receptor (LDLR) Transcription by Oncostatin M Is Mediated by the Extracellular Signal-regulated Kinase Signaling Pathway and the Repeat 3 Element of the LDLR Promoter. Journal of Biological Chemistry. 274(10). 6747–6753. 50 indexed citations
9.
Liu, Jie, et al.. (1999). The expression of p53 tumor suppressor gene in breast cancer cells is down-regulated by cytokine oncostatin M.. PubMed. 10(10). 677–83. 20 indexed citations
10.
Titenko‐Holland, Nina, Thomas E. Ahlborn, Xiu Lowe, et al.. (1998). Micronuclei and developmental abnormalities in 4-day mouse embryos after paternal treatment with acrylamide. Environmental and Molecular Mutagenesis. 31(3). 206–217. 25 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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