Mark A. Eckert

4.2k total citations · 2 hit papers
32 papers, 2.7k citations indexed

About

Mark A. Eckert is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mark A. Eckert has authored 32 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Mark A. Eckert's work include Ovarian cancer diagnosis and treatment (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (6 papers). Mark A. Eckert is often cited by papers focused on Ovarian cancer diagnosis and treatment (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (6 papers). Mark A. Eckert collaborates with scholars based in United States, Germany and China. Mark A. Eckert's co-authors include Ernst Lengyel, Weian Zhao, Jing Yang, Samantha M. Tienda, Jihoon Kim, Thinzar M. Lwin, Agnieszka Chryplewicz, Etienne Danis, Andrew Chang and Lucila Ohno‐Machado and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark A. Eckert

31 papers receiving 2.7k citations

Hit Papers

m6A mRNA methylation regulates AKT activity to promote th... 2018 2026 2020 2023 2018 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Eckert United States 19 1.7k 798 608 293 266 32 2.7k
Rodney B. Luwor Australia 32 2.0k 1.2× 867 1.1× 1.5k 2.4× 556 1.9× 200 0.8× 95 3.7k
Felix Zeppernick Germany 17 609 0.3× 384 0.5× 691 1.1× 290 1.0× 343 1.3× 40 1.6k
Sharmila A. Bapat India 20 1.6k 0.9× 741 0.9× 1.5k 2.4× 72 0.2× 236 0.9× 53 2.5k
Anna Golebiewska Luxembourg 23 1.1k 0.6× 568 0.7× 480 0.8× 559 1.9× 68 0.3× 42 2.1k
Enrica Martinelli Italy 23 1.5k 0.9× 502 0.6× 1.0k 1.7× 127 0.4× 219 0.8× 44 3.1k
Ranjit S. Bindra United States 33 2.6k 1.5× 1.4k 1.7× 1.3k 2.2× 706 2.4× 147 0.6× 122 4.1k
Ellen van Drunen Netherlands 27 2.5k 1.4× 541 0.7× 960 1.6× 163 0.6× 174 0.7× 42 3.7k
Daniela Biziato Italy 9 1.2k 0.7× 545 0.7× 742 1.2× 164 0.6× 92 0.3× 11 2.4k
Sabrina Battista Italy 28 2.0k 1.2× 1.2k 1.5× 447 0.7× 98 0.3× 60 0.2× 46 2.9k
Miguel Abal Spain 34 1.7k 1.0× 882 1.1× 1.1k 1.8× 63 0.2× 263 1.0× 83 3.1k

Countries citing papers authored by Mark A. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Eckert

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Eckert. A scholar is included among the top collaborators of Mark A. Eckert 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 Mark A. Eckert. Mark A. Eckert 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.
Eckert, Mark A., et al.. (2021). The Effects of Chemotherapeutics on the Ovarian Cancer Microenvironment. Cancers. 13(13). 3136–3136. 18 indexed citations
2.
Eckert, Mark A., et al.. (2021). Isolation of Normal and Cancer-Associated Fibroblasts. Methods in molecular biology. 2424. 155–165. 7 indexed citations
3.
Somasegar, Sahana, Barbara M. Norquist, Marc R. Radke, et al.. (2021). Germline mutations in Black patients with ovarian, fallopian tube and primary peritoneal carcinomas. Gynecologic Oncology. 163(1). 130–133. 6 indexed citations
4.
Zhang, Zijie, Qi Zhang, Mark A. Eckert, et al.. (2019). RADAR: differential analysis of MeRIP-seq data with a random effect model. Genome biology. 20(1). 294–294. 73 indexed citations
5.
Chryplewicz, Agnieszka, et al.. (2019). Mutant p53 regulates LPA signaling through lysophosphatidic acid phosphatase type 6. Scientific Reports. 9(1). 5195–5195. 15 indexed citations
6.
Liu, Jun, Mark A. Eckert, Bryan T. Harada, et al.. (2018). m6A mRNA methylation regulates AKT activity to promote the proliferation and tumorigenicity of endometrial cancer. Nature Cell Biology. 20(9). 1074–1083. 603 indexed citations breakdown →
7.
Chiyoda, Tatsuyuki, Peter C. Hart, Mark A. Eckert, et al.. (2017). Loss of BRCA1 in the Cells of Origin of Ovarian Cancer Induces Glycolysis: A Window of Opportunity for Ovarian Cancer Chemoprevention. Cancer Prevention Research. 10(4). 255–266. 26 indexed citations
8.
Hoppenot, Claire, Mark A. Eckert, Samantha M. Tienda, & Ernst Lengyel. (2017). Who are the long-term survivors of high grade serous ovarian cancer?. Gynecologic Oncology. 148(1). 204–212. 87 indexed citations
9.
Eckert, Mark A., Miguel Santiago‐Medina, Thinzar M. Lwin, et al.. (2017). ADAM12 induction by Twist1 promotes tumor invasion and metastasis via regulation of invadopodia and focal adhesions. Journal of Cell Science. 130(12). 2036–2048. 39 indexed citations
10.
Li, Gang, Mark A. Eckert, Jae Won Chang, et al.. (2017). An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells. Nature Communications. 8(1). 1775–1775. 33 indexed citations
11.
Eckert, Mark A., Shawn Pan, Kyle M. Hernandez, et al.. (2016). Genomics of Ovarian Cancer Progression Reveals Diverse Metastatic Trajectories Including Intraepithelial Metastasis to the Fallopian Tube. Cancer Discovery. 6(12). 1342–1351. 130 indexed citations
12.
Coscia, Fabian, Karen M. Watters, Marion Curtis, et al.. (2016). Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status. Nature Communications. 7(1). 12645–12645. 154 indexed citations
13.
Vu, Quynh, Kate Xie, Mark A. Eckert, Weian Zhao, & Steven C. Cramer. (2014). Meta-analysis of preclinical studies of mesenchymal stromal cells for ischemic stroke. Neurology. 82(14). 1277–1286. 162 indexed citations
14.
Zhang, Zhiqing, Mark A. Eckert, M. Monsur Ali, et al.. (2014). DNA‐Scaffolded Multivalent Ligands to Modulate Cell Function. ChemBioChem. 15(9). 1268–1273. 45 indexed citations
15.
Eckert, Mark A., et al.. (2013). Novel Molecular and Nanosensors for In Vivo Sensing. Theranostics. 3(8). 583–594. 53 indexed citations
16.
Droujinine, Ilia A., Mark A. Eckert, & Weian Zhao. (2013). To grab the stroma by the horns: From biology to cancer therapy with mesenchymal stem cells. Oncotarget. 4(5). 651–664. 53 indexed citations
17.
Eckert, Mark A. & Weian Zhao. (2013). Opening windows on new biology and disease mechanisms: development of real-time in vivo sensors. Interface Focus. 3(3). 10 indexed citations
18.
Eckert, Mark A., Thinzar M. Lwin, Andrew Chang, et al.. (2011). Twist1-Induced Invadopodia Formation Promotes Tumor Metastasis. Cancer Cell. 19(3). 372–386. 395 indexed citations
19.
Eckert, Mark A. & Jing Yang. (2011). Targeting invadopodia to block breast cancer metastasis. Oncotarget. 2(7). 562–568. 64 indexed citations
20.
Ward, O. Byron, et al.. (1996). Critical Periods of Sensitivity of Sexually Dimorphic Spinal Nuclei to Prenatal Testosterone Exposure in Female Rats. Hormones and Behavior. 30(4). 407–415. 11 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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