Frank Eckerdt

2.0k total citations
43 papers, 1.6k citations indexed

About

Frank Eckerdt is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Frank Eckerdt has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Cell Biology. Recurrent topics in Frank Eckerdt's work include Microtubule and mitosis dynamics (13 papers), Cancer-related Molecular Pathways (11 papers) and Glioma Diagnosis and Treatment (7 papers). Frank Eckerdt is often cited by papers focused on Microtubule and mitosis dynamics (13 papers), Cancer-related Molecular Pathways (11 papers) and Glioma Diagnosis and Treatment (7 papers). Frank Eckerdt collaborates with scholars based in United States, Germany and Canada. Frank Eckerdt's co-authors include Klaus Strebhardt, Juping Yuan, Leonidas C. Platanias, Manfred Kaufmann, James L. Maller, Andrea Krämer, Marc Roller, Andrea L. Lewellyn, Ruilan Yan and Stewart Goldman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Frank Eckerdt

43 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Eckerdt United States 23 1.2k 602 568 196 160 43 1.6k
Stefano Campaner Italy 26 1.8k 1.5× 750 1.2× 465 0.8× 269 1.4× 80 0.5× 47 2.3k
Que T. Lambert United States 17 1.2k 1.1× 459 0.8× 461 0.8× 111 0.6× 117 0.7× 21 1.6k
Richard E. Cutler United States 19 1.1k 1.0× 506 0.8× 234 0.4× 165 0.8× 112 0.7× 46 1.6k
Jerry E. Stewart United States 20 783 0.7× 317 0.5× 297 0.5× 296 1.5× 90 0.6× 66 1.2k
Constadina Arvanitis United States 11 1.3k 1.1× 637 1.1× 241 0.4× 422 2.2× 92 0.6× 21 1.9k
Kirsten Mundt United Kingdom 16 1.3k 1.1× 700 1.2× 842 1.5× 126 0.6× 97 0.6× 28 1.8k
Florian J. Sulzmaier United States 16 959 0.8× 492 0.8× 370 0.7× 312 1.6× 57 0.4× 25 1.7k
Yoon Jong Choi United States 11 1.3k 1.1× 813 1.4× 286 0.5× 240 1.2× 151 0.9× 19 1.9k
Isa M. Hussaini United States 19 935 0.8× 401 0.7× 196 0.3× 434 2.2× 164 1.0× 28 1.5k
Lori S. Hart United States 19 1.1k 1.0× 527 0.9× 356 0.6× 404 2.1× 89 0.6× 27 1.8k

Countries citing papers authored by Frank Eckerdt

Since Specialization
Citations

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

Fields of papers citing papers by Frank Eckerdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Eckerdt

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Eckerdt. A scholar is included among the top collaborators of Frank Eckerdt 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 Frank Eckerdt. Frank Eckerdt 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.
Izquierdo, Javier, Candice Mazewski, Elspeth M. Beauchamp, et al.. (2025). Discovery of Potent and Selective MNK Kinase Inhibitors for the Treatment of Leukemia. Journal of Medicinal Chemistry. 68(5). 5824–5844. 1 indexed citations
2.
Perez, Ricardo E., Frank Eckerdt, & Leonidas C. Platanias. (2024). Schlafens: Emerging Therapeutic Targets. Cancers. 16(10). 1805–1805. 3 indexed citations
3.
Eckerdt, Frank & Leonidas C. Platanias. (2023). Emerging Role of Glioma Stem Cells in Mechanisms of Therapy Resistance. Cancers. 15(13). 3458–3458. 42 indexed citations
4.
Saleiro, Diana, Ewa M. Kościuczuk, Mariafausta Fischietti, et al.. (2023). Targeting CHAF1B Enhances IFN Activity against Myeloproliferative Neoplasm Cells. Cancer Research Communications. 3(5). 943–951. 3 indexed citations
5.
Fischietti, Mariafausta, Frank Eckerdt, Ricardo E. Perez, et al.. (2022). SLFN11 Negatively Regulates Noncanonical NFκB Signaling to Promote Glioblastoma Progression. Cancer Research Communications. 2(9). 966–978. 8 indexed citations
6.
McCord, Matthew, Elizabeth T. Bartom, Kirsten B. Burdett, et al.. (2022). Modeling Therapy-Driven Evolution of Glioblastoma with Patient-Derived Xenografts. Cancers. 14(22). 5494–5494. 11 indexed citations
7.
Saleiro, Diana, Ewa M. Kościuczuk, Frank Eckerdt, et al.. (2022). Discovery of a signaling feedback circuit that defines interferon responses in myeloproliferative neoplasms. Nature Communications. 13(1). 1750–1750. 15 indexed citations
8.
Fischietti, Mariafausta, Frank Eckerdt, Ahmet Arslan, et al.. (2021). Schlafen 5 as a novel therapeutic target in pancreatic ductal adenocarcinoma. Oncogene. 40(18). 3273–3286. 9 indexed citations
9.
Eckerdt, Frank, Jonathan B. Bell, Elspeth M. Beauchamp, et al.. (2019). Potent Antineoplastic Effects of Combined PI3Kα–MNK Inhibition in Medulloblastoma. Molecular Cancer Research. 17(6). 1305–1315. 13 indexed citations
10.
Eckerdt, Frank, Jessica Clymer, Jonathan B. Bell, et al.. (2019). Pharmacological mTOR targeting enhances the antineoplastic effects of selective PI3Kα inhibition in medulloblastoma. Scientific Reports. 9(1). 12822–12822. 28 indexed citations
11.
Bell, Jonathan B., Jonathan S. Rink, Frank Eckerdt, et al.. (2018). HDL nanoparticles targeting sonic hedgehog subtype medulloblastoma. Scientific Reports. 8(1). 1211–1211. 33 indexed citations
12.
Arslan, Ahmet, Antonio Sassano, Diana Saleiro, et al.. (2017). Human SLFN5 is a transcriptional co-repressor of STAT1-mediated interferon responses and promotes the malignant phenotype in glioblastoma. Oncogene. 36(43). 6006–6019. 46 indexed citations
13.
Bell, Jonathan B., Frank Eckerdt, Yingtao Bi, et al.. (2016). MNK Inhibition Disrupts Mesenchymal Glioma Stem Cells and Prolongs Survival in a Mouse Model of Glioblastoma. Molecular Cancer Research. 14(10). 984–993. 30 indexed citations
14.
Kumar, Krishan, Christina R. Chow, Kazumi Ebine, et al.. (2015). Differential Regulation of ZEB1 and EMT by MAPK-Interacting Protein Kinases (MNK) and eIF4E in Pancreatic Cancer. Molecular Cancer Research. 14(2). 216–227. 34 indexed citations
15.
Eckerdt, Frank, Tomomi M. Yamamoto, Andrea L. Lewellyn, & James L. Maller. (2011). Identification of a Polo-like Kinase 4-Dependent Pathway for De Novo Centriole Formation. Current Biology. 21(5). 428–432. 33 indexed citations
16.
Eckerdt, Frank, Gaëtan Pascreau, Meridee Phistry, et al.. (2009). Phosphorylation of TPX2 by Plx1 enhances activation of Aurora A. Cell Cycle. 8(15). 2413–2419. 30 indexed citations
17.
Pascreau, Gaëtan, Frank Eckerdt, Andrea L. Lewellyn, Claude Prigent, & James L. Maller. (2009). Phosphorylation of p53 Is Regulated by TPX2-Aurora A in Xenopus Oocytes. Journal of Biological Chemistry. 284(9). 5497–5505. 22 indexed citations
18.
Eckerdt, Frank & James L. Maller. (2008). Kicking off the polo game. Trends in Biochemical Sciences. 33(11). 511–513. 14 indexed citations
19.
Eckerdt, Frank, Juping Yuan, & Klaus Strebhardt. (2005). Polo-like kinases and oncogenesis. Oncogene. 24(2). 267–276. 306 indexed citations
20.
Yuan, Juping, Frank Eckerdt, Jürgen Bereiter‐Hahn, et al.. (2002). Cooperative phosphorylation including the activity of polo-like kinase 1 regulates the subcellular localization of cyclin B1. Oncogene. 21(54). 8282–8292. 102 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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