Jonathan A. Kelber

2.5k total citations
40 papers, 1.9k citations indexed

About

Jonathan A. Kelber is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jonathan A. Kelber has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Cell Biology. Recurrent topics in Jonathan A. Kelber's work include Cancer Cells and Metastasis (12 papers), TGF-β signaling in diseases (8 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Jonathan A. Kelber is often cited by papers focused on Cancer Cells and Metastasis (12 papers), TGF-β signaling in diseases (8 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Jonathan A. Kelber collaborates with scholars based in United States, South Korea and Slovakia. Jonathan A. Kelber's co-authors include Peter C. Gray, Richard Klemke, Wylie Vale, Gidi Shani, Konstantin Stoletov, Tracy Wright, Hisashi Kato, Jing Yang, Sanford J. Shattil and Robert M. Hoffman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Jonathan A. Kelber

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Kelber United States 22 1.2k 599 583 301 212 40 1.9k
Ana Cerezo Spain 13 1.1k 0.9× 677 1.1× 841 1.4× 358 1.2× 138 0.7× 16 2.0k
Laurent Fattet United States 18 1.1k 0.9× 699 1.2× 673 1.2× 344 1.1× 335 1.6× 23 2.0k
Weon‐Kyoo You South Korea 19 935 0.8× 277 0.5× 522 0.9× 365 1.2× 143 0.7× 37 1.7k
Dariusz Lachowski United Kingdom 16 551 0.5× 703 1.2× 569 1.0× 206 0.7× 321 1.5× 20 1.6k
Bodour Salhia United States 26 914 0.8× 304 0.5× 580 1.0× 483 1.6× 115 0.5× 69 2.0k
Anastasia Sacharidou United States 21 948 0.8× 398 0.7× 238 0.4× 263 0.9× 189 0.9× 36 1.8k
Berit B. Tysnes Norway 22 1.1k 1.0× 379 0.6× 655 1.1× 412 1.4× 126 0.6× 29 1.9k
William C. Hines United States 17 920 0.8× 442 0.7× 927 1.6× 495 1.6× 319 1.5× 29 2.0k
Kiyoko Yoshioka Japan 23 1.6k 1.3× 626 1.0× 693 1.2× 339 1.1× 152 0.7× 38 2.4k
Paola A. Castagnino United States 20 1.1k 0.9× 660 1.1× 341 0.6× 199 0.7× 172 0.8× 32 1.8k

Countries citing papers authored by Jonathan A. Kelber

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Kelber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Kelber. 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 Jonathan A. Kelber. The network helps show where Jonathan A. Kelber may publish in the future.

Co-authorship network of co-authors of Jonathan A. Kelber

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Kelber. A scholar is included among the top collaborators of Jonathan A. Kelber 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 Jonathan A. Kelber. Jonathan A. Kelber 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.
Barros, Natan Roberto de, et al.. (2024). Targeting SMAD-Dependent Signaling: Considerations in Epithelial and Mesenchymal Solid Tumors. Pharmaceuticals. 17(3). 326–326. 9 indexed citations
2.
Khorsandi, Danial, Jiawei Yang, Samuel Foster, et al.. (2024). Patient‐Derived Organoids as Therapy Screening Platforms in Cancer Patients. Advanced Healthcare Materials. 13(21). e2302331–e2302331. 10 indexed citations
3.
Ko, MinHee K., José M. González, Lynn Y. Sakai, et al.. (2022). Fibrillin-1 mutant mouse captures defining features of human primary open glaucoma including anomalous aqueous humor TGF beta-2. Scientific Reports. 12(1). 10623–10623. 3 indexed citations
4.
5.
Guldner, Ian H., Min-Zu Wu, Yuriko Hishida, et al.. (2020). Cell surface GRP78 promotes stemness in normal and neoplastic cells. Scientific Reports. 10(1). 3474–3474. 39 indexed citations
6.
Hoover, Malachia, Jolene K. Diedrich, Wolfgang Fischer, et al.. (2018). Identification of myosin II as a cripto binding protein and regulator of cripto function in stem cells and tissue regeneration. Biochemical and Biophysical Research Communications. 509(1). 69–75. 9 indexed citations
7.
Strnádel, Ján, Sunkyu Choi, Ken Fujimura, et al.. (2017). eIF5A-PEAK1 Signaling Regulates YAP1/TAZ Protein Expression and Pancreatic Cancer Cell Growth. Cancer Research. 77(8). 1997–2007. 68 indexed citations
8.
Hoover, Malachia, et al.. (2017). ITGA1 is a pre-malignant biomarker that promotes therapy resistance and metastatic potential in pancreatic cancer. Scientific Reports. 7(1). 10060–10060. 56 indexed citations
9.
Zoni, Eugenio, Sofia Karkampouna, Zoraide Granchi, et al.. (2017). CRIPTO and its signaling partner GRP78 drive the metastatic phenotype in human osteotropic prostate cancer. Oncogene. 36(33). 4739–4749. 35 indexed citations
10.
Kelber, Jonathan A., et al.. (2016). Cellular and molecular aspects of pancreatic cancer. Acta Histochemica. 118(3). 305–316. 27 indexed citations
11.
Agajanian, Megan J., et al.. (2015). Identification of a PEAK1/ZEB1 signaling axis during TGFβ/fibronectin-induced EMT in breast cancer. Biochemical and Biophysical Research Communications. 465(3). 606–612. 37 indexed citations
12.
Fujimura, Ken, Tracy Wright, Ján Strnádel, et al.. (2014). A Hypusine–eIF5A–PEAK1 Switch Regulates the Pathogenesis of Pancreatic Cancer. Cancer Research. 74(22). 6671–6681. 78 indexed citations
13.
Spike, Benjamin T., Jonathan A. Kelber, Madhuri Kalathur, et al.. (2014). CRIPTO/GRP78 Signaling Maintains Fetal and Adult Mammary Stem Cells Ex Vivo. Stem Cell Reports. 2(4). 427–439. 50 indexed citations
14.
Choi, Sunkyu, Jonathan A. Kelber, Xinning Jiang, et al.. (2013). Procedures for the biochemical enrichment and proteomic analysis of the cytoskeletome. Analytical Biochemistry. 446. 102–107. 12 indexed citations
15.
Kelber, Jonathan A., Theresa Reno, Sharmeela Kaushal, et al.. (2012). KRas Induces a Src/PEAK1/ErbB2 Kinase Amplification Loop That Drives Metastatic Growth and Therapy Resistance in Pancreatic Cancer. Cancer Research. 72(10). 2554–2564. 92 indexed citations
16.
Soman, Pranav, Jonathan A. Kelber, Jin Woo Lee, et al.. (2012). Cancer cell migration within 3D layer-by-layer microfabricated photocrosslinked PEG scaffolds with tunable stiffness. Biomaterials. 33(29). 7064–7070. 98 indexed citations
17.
Stoletov, Konstantin, Hisashi Kato, Jonathan A. Kelber, et al.. (2010). Visualizing extravasation dynamics of metastatic tumor cells. Journal of Cell Science. 123(13). 2332–2341. 241 indexed citations
18.
Wang, Yingchun, Jonathan A. Kelber, Hop S. Tran Cao, et al.. (2010). Pseudopodium-enriched atypical kinase 1 regulates the cytoskeleton and cancer progression. Proceedings of the National Academy of Sciences. 107(24). 10920–10925. 93 indexed citations
19.
Gray, Peter C., et al.. (2008). Cripto Binds Transforming Growth Factor β (TGF-β) and Inhibits TGF-β Signaling. Molecular and Cellular Biology. 28(23). 7260–7260. 57 indexed citations
20.
Kelber, Jonathan A., et al.. (2007). Cripto Is a Noncompetitive Activin Antagonist That Forms Analogous Signaling Complexes with Activin and Nodal. Journal of Biological Chemistry. 283(8). 4490–4500. 57 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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