Michael Steckel

1.6k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Michael Steckel is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael Steckel has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Michael Steckel's work include RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer therapeutics and mechanisms (3 papers). Michael Steckel is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer therapeutics and mechanisms (3 papers). Michael Steckel collaborates with scholars based in Germany, Singapore and United Kingdom. Michael Steckel's co-authors include Shannon T. Bailey, Jae‐Hyuck Shim, Nobuyuki Tanaka, Matthew S. Hayden, Sankar Ghosh, Changchun Xiao, P. Nagesh Rao, Kunihiro Matsumoto, Ki‐Young Lee and Shizuo Akira and has published in prestigious journals such as Cell, Genes & Development and Cancer Research.

In The Last Decade

Michael Steckel

14 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TAK1, but not TAB1 or TAB2, plays an essential role in multiple signaling pathways in vivo

2005 617 citations Jae‐Hyuck Shim, Changchun Xiao et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Steckel Germany	7	779	472	464	261	86	14	1.2k
Hong-Wu Xin China	20	796 1.0×	413 0.9×	337 0.7×	596 2.3×	128 1.5×	52	1.6k
Joseph G. Naglich United States	17	757 1.0×	358 0.8×	344 0.7×	216 0.8×	142 1.7×	26	1.3k
Parameswaran Ramakrishnan United States	19	1.2k 1.6×	621 1.3×	974 2.1×	265 1.0×	38 0.4×	35	2.0k
Torben Lüders Norway	18	649 0.8×	296 0.6×	319 0.7×	184 0.7×	81 0.9×	35	1.0k
Stéphane Gobeil Canada	19	1.1k 1.4×	349 0.7×	200 0.4×	246 0.9×	92 1.1×	33	1.6k
Yun Liang China	17	597 0.8×	146 0.3×	597 1.3×	185 0.7×	44 0.5×	36	1.2k
Tatsuyoshi Funasaka Japan	24	890 1.1×	342 0.7×	307 0.7×	226 0.9×	43 0.5×	31	1.3k
Alejandro D. Campos United States	11	1.2k 1.5×	641 1.4×	580 1.3×	402 1.5×	40 0.5×	17	1.7k
Zailong Qin China	20	754 1.0×	424 0.9×	210 0.5×	270 1.0×	110 1.3×	77	1.3k
Limin Li China	18	689 0.9×	448 0.9×	388 0.8×	134 0.5×	44 0.5×	32	1.2k

Countries citing papers authored by Michael Steckel

Since Specialization

Citations

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

Fields of papers citing papers by Michael Steckel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Steckel

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

All Works

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14 of 14 papers shown

Brzezinka, Krzysztof, Ekaterina Nevedomskaya, Ralf Lesche, et al.. (2019). Functional diversity of inhibitors tackling the differentiation blockage of MLL-rearranged leukemia. Journal of Hematology & Oncology. 12(1). 66–66. 27 indexed citations

Ding, Zhaobing, Russell Ericksen, Nathalie Escande‐Beillard, et al.. (2019). Metabolic pathway analyses identify proline biosynthesis pathway as a promoter of liver tumorigenesis. Journal of Hepatology. 72(4). 725–735. 87 indexed citations

Ding, Zhaobing, et al.. (2018). Abstract 3477: Metabolic pathway analyses identify proline biosynthesis as a promoter of liver carcinogenesis. Cancer Research. 78(13_Supplement). 3477–3477. 1 indexed citations

Lesche, Ralf, Matthias Keck, Stefan Kaulfuß, et al.. (2017). Functional inhibition of acid sphingomyelinase by Fluphenazine triggers hypoxia-specific tumor cell death. Cell Death and Disease. 8(3). e2709–e2709. 33 indexed citations

Steckel, Michael, et al.. (2016). RNAi as a tool for target discovery in early pharmaceutical research.. PubMed. 71(1). 35–42. 3 indexed citations

Adams, Robert, Michael Steckel, & Barbara Nicke. (2015). Functional Genomics in Pharmaceutical Drug Discovery. Handbook of experimental pharmacology. 232. 25–41. 3 indexed citations

Glasauer, Andrea, et al.. (2015). Abstract 4460: Targeting the redox-protective protein MTH1 for cancer therapy: A novel way to exploit the unique redox status of cancer cells. Cancer Research. 75(15_Supplement). 4460–4460. 2 indexed citations

Ding, Zhaobing, Eung‐Sam Kim, Animesh Samanta, et al.. (2015). Abstract 1163: Phosphoserine aminotransferase 1 (PSAT1) as a novel anti-tumor target in hepatocellular carcinoma. Cancer Research. 75(15_Supplement). 1163–1163. 1 indexed citations

Steckel, Michael, Míriam Molina‐Arcas, Britta Weigelt, et al.. (2012). Determination of synthetic lethal interactions in KRAS oncogene-dependent cancer cells reveals novel therapeutic targeting strategies. Cell Research. 22(8). 1227–1245. 128 indexed citations

10.

Molina‐Arcas, Míriam, David C. Hancock, Michael Steckel, & Julian Downward. (2012). Abstract 4163: Determination of synthetic lethal interactions in KRAS oncogene dependent cancer cells reveals novel therapeutic targeting strategies. Cancer Research. 72(8_Supplement). 4163–4163. 1 indexed citations

11.

Kumar, Madhu, David C. Hancock, Míriam Molina‐Arcas, et al.. (2012). The GATA2 Transcriptional Network Is Requisite for RAS Oncogene-Driven Non-Small Cell Lung Cancer. Cell. 149(3). 642–655. 215 indexed citations

12.

Hancock, David C., et al.. (2012). 374 Determination of Synthetic Lethal Interactions in KRAS Oncogene Dependent Cancer Cells Reveals Novel Therapeutic Targeting Strategies. European Journal of Cancer. 48. S90–S91. 1 indexed citations

13.

Gesellchen, Viola, David Kuttenkeuler, Michael Steckel, Nadège Pelte, & Michael Boutros. (2005). An RNA interference screen ide.jpgies Inhibitor of Apoptosis Protein 2 as a regulator of innate immune signalling in Drosophila. EMBO Reports. 6(10). 979–984. 106 indexed citations

14.

Shim, Jae‐Hyuck, Changchun Xiao, Shannon T. Bailey, et al.. (2005). TAK1, but not TAB1 or TAB2, plays an essential role in multiple signaling pathways in vivo. Genes & Development. 19(22). 2668–2681. 617 indexed citations breakdown →

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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