Michael Steckel
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
- Invertebrate Immune Response Mechanisms
Papers in
-
- Cancer therapeutics and mechanisms 3
- RNA modifications and cancer 3
- Sphingolipid Metabolism and Signaling 1
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Oncology 4
- Cancer-related Molecular Pathways 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Ki‐Young Lee (1 shared paper)P. Nagesh Rao (1 shared paper)Shannon T. Bailey (1 shared paper)Jae‐Hyuck Shim (1 shared paper)Matthew S. Hayden (1 shared paper)Kunihiro Matsumoto (1 shared paper)Changchun Xiao (1 shared paper)Sankar Ghosh (1 shared paper)
- Journals
- Cancer Research (4 papers)Cell Research (1 paper)Journal of Hematology & Oncology (1 paper)Journal of Hepatology (1 paper)EMBO Reports (1 paper)
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Michael Steckel
14 papers receiving 1.3k citations
Michael Steckel's Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 460
- Immunology 455
- Molecular Biology 751
- Oncology 252
- Immunology and Allergy 23
Countries citing papers authored by Michael Steckel
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
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-authors
The 25 scholars most cited alongside Michael Steckel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TAK1, but not TAB1 or TAB2, plays an essential role in multiple signaling pathways in vivo Hit paper breakdown → | 2005 | 638 |
| 2 | 2012 | 221 | |
| 3 | 2012 | 133 | |
| 4 | 2005 | 110 | |
| 5 | 2019 | 93 | |
| 6 | 2017 | 34 | |
| 7 | 2019 | 28 | |
| 8 | 2015 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2015 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 1 |
About Michael Steckel
Michael Steckel is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Organic Chemistry, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (3 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Sphingolipid Metabolism and Signaling (1 paper), DNA Repair Mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (460 citations), Immunology (455 citations), Molecular Biology (751 citations), Oncology (252 citations) and Immunology and Allergy (23 citations). Michael Steckel has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Ki‐Young Lee, P. Nagesh Rao, Shannon T. Bailey, Jae‐Hyuck Shim, Matthew S. Hayden, Kunihiro Matsumoto, Changchun Xiao, Sankar Ghosh, Nobuyuki Tanaka and Gen Yamada. Their work appears in journals such as Cancer Research, Cell Research, Journal of Hematology & Oncology, Journal of Hepatology and EMBO Reports.
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.