Jennifer Cain

2.3k total citations
19 papers, 1.1k citations indexed

About

Jennifer Cain is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Jennifer Cain has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Hematology. Recurrent topics in Jennifer Cain's work include Chronic Myeloid Leukemia Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and Acute Myeloid Leukemia Research (2 papers). Jennifer Cain is often cited by papers focused on Chronic Myeloid Leukemia Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and Acute Myeloid Leukemia Research (2 papers). Jennifer Cain collaborates with scholars based in United States, Spain and United Kingdom. Jennifer Cain's co-authors include Michael H. Tomasson, Zhifu Xiang, Ann M. Kapoun, Belinda Cancilla, Timothy Hoey, Marcus Fischer, Julie O’Neal, Jay L. Grisolano, Gilbert O’Young and Christopher L. Murriel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Jennifer Cain

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Cain United States 11 671 470 248 181 149 19 1.1k
Fotis Asimakopoulos United States 20 538 0.8× 557 1.2× 443 1.8× 333 1.8× 194 1.3× 40 1.3k
Patrik Georgii‐Hemming Sweden 14 409 0.6× 244 0.5× 233 0.9× 133 0.7× 129 0.9× 17 778
Marie-Laure Arcangeli France 18 836 1.2× 292 0.6× 310 1.3× 491 2.7× 159 1.1× 29 1.5k
Kaida Wu United States 17 527 0.8× 295 0.6× 401 1.6× 131 0.7× 52 0.3× 37 922
Paolo Romania Italy 19 660 1.0× 342 0.7× 126 0.5× 260 1.4× 466 3.1× 25 1.1k
Abdullah Mahmood Ali United States 20 1.5k 2.2× 244 0.5× 319 1.3× 116 0.6× 309 2.1× 60 2.0k
Charlotte Rorsman Sweden 10 668 1.0× 182 0.4× 188 0.8× 206 1.1× 126 0.8× 15 1.1k
Carolina Vicente‐Dueñas Spain 18 728 1.1× 495 1.1× 169 0.7× 147 0.8× 244 1.6× 41 1.2k
Kevin Rouault‐Pierre United Kingdom 17 520 0.8× 335 0.7× 550 2.2× 337 1.9× 178 1.2× 37 1.2k
Fumihiko Matsuno Japan 15 590 0.9× 345 0.7× 134 0.5× 127 0.7× 226 1.5× 31 986

Countries citing papers authored by Jennifer Cain

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Cain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Cain

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

All Works

19 of 19 papers shown
1.
Lim, Jing Shan, Alvaro Ibaseta, Marcus Fischer, et al.. (2017). Intratumoural heterogeneity generated by Notch signalling promotes small-cell lung cancer. Nature. 545(7654). 360–364. 311 indexed citations
2.
Fischer, Marcus, Vincent Yeung, Fiore Cattaruzza, et al.. (2017). RSPO3 antagonism inhibits growth and tumorigenicity in colorectal tumors harboring common Wnt pathway mutations. Scientific Reports. 7(1). 15270–15270. 37 indexed citations
3.
Fischer, Marcus, Belinda Cancilla, Vincent Yeung, et al.. (2017). WNT antagonists exhibit unique combinatorial antitumor activity with taxanes by potentiating mitotic cell death. Science Advances. 3(6). e1700090–e1700090. 122 indexed citations
4.
Cattaruzza, Fiore, Min Wang, Alayne Brunner, et al.. (2017). Abstract 599: Pharmacodynamic biomarkers for anti-TIGIT treatment and prevalence of TIGIT expression in multiple solid tumor types. Cancer Research. 77(13_Supplement). 599–599. 2 indexed citations
5.
Zhang, Chun, Yuwang Liu, Min Wang, et al.. (2016). Abstract 404: Development of a RSPO3 CLIA-validated assay as a predictive biomarker for response to anti-RSPO3 antibody treatment in patients with solid tumors. Cancer Research. 76(14_Supplement). 404–404. 1 indexed citations
6.
Yen, Wan-Ching, Marcus Fischer, Fumiko Axelrod, et al.. (2015). Targeting Notch Signaling with a Notch2/Notch3 Antagonist (Tarextumab) Inhibits Tumor Growth and Decreases Tumor-Initiating Cell Frequency. Clinical Cancer Research. 21(9). 2084–2095. 195 indexed citations
7.
Shah, Jalpa, Gilbert O’Young, Jie Wei, et al.. (2015). Abstract 2323: Tarextumab (Anti-NOTCH2/3) reverses NOTCH2 and NOTCH3-dependent tumorigenicity and metastases in small cell lung cancer. Cancer Research. 75(15_Supplement). 2323–2323. 1 indexed citations
8.
Yen, Wan-Ching, Fumiko Axelrod, Jennifer Cain, et al.. (2014). Abstract 207: Dual targeting of DLL4 and VEGF signaling by a novel bispecific antibody inhibits tumor growth and reduces cancer stem cell frequency. Cancer Research. 74(19_Supplement). 207–207. 1 indexed citations
9.
Wallace, Breanna, Min Wang, Jennifer Cain, et al.. (2013). Abstract 213: Novel NOTCH3 activating mutations identified in tumors sensitive to OMP-59R5, a monoclonal antibody targeting the Notch2 and Notch3 receptors.. Cancer Research. 73(8_Supplement). 213–213. 1 indexed citations
10.
11.
Yen, Wan-Ching, Marcus Fischer, Jalpa Shah, et al.. (2013). Abstract 3725: Anti-DLL4 (demcizumab) inhibits tumor growth and reduces cancer stem cell frequency in patient-derived ovarian cancer xenografts.. Cancer Research. 73(8_Supplement). 3725–3725. 2 indexed citations
12.
Cain, Jennifer, et al.. (2012). Effects of known phenoloxidase inhibitors on hemocyanin-derived phenoloxidase from Limulus polyphemus. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 163(3-4). 303–308. 21 indexed citations
13.
Xiang, Zhifu, Hui Luo, Jacqueline E. Payton, et al.. (2010). Mcl1 haploinsufficiency protects mice from Myc-induced acute myeloid leukemia. Journal of Clinical Investigation. 120(6). 2109–2118. 98 indexed citations
14.
Liu, Fulu, Maxwell M. Krem, William Eades, et al.. (2008). Csf3r mutations in mice confer a strong clonal HSC advantage via activation of Stat5. Journal of Clinical Investigation. 118(3). 946–55. 62 indexed citations
15.
Cain, Jennifer, Zhifu Xiang, Julie O’Neal, et al.. (2007). Myeloproliferative disease induced by TEL-PDGFRB displays dynamic range sensitivity to Stat5 gene dosage. Blood. 109(9). 3906–3914. 43 indexed citations
16.
Xiang, Zhifu, et al.. (2006). Neoplasia Driven by Mutant c-KIT Is Mediated by Intracellular, Not Plasma Membrane, Receptor Signaling. Molecular and Cellular Biology. 27(1). 267–282. 96 indexed citations
17.
Cain, Jennifer, Jay L. Grisolano, Alexander Laird, & Michael H. Tomasson. (2004). Complete remission of TEL-PDGFRB–induced myeloproliferative disease in mice by receptor tyrosine kinase inhibitor SU11657. Blood. 104(2). 561–564. 12 indexed citations
18.
Grisolano, Jay L., Julie O’Neal, Jennifer Cain, & Michael H. Tomasson. (2003). An activated receptor tyrosine kinase, TEL/PDGFβR, cooperates with AML1/ETO to induce acute myeloid leukemia in mice. Proceedings of the National Academy of Sciences. 100(16). 9506–9511. 102 indexed citations
19.

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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