M.T. Ehebauer
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Developmental Biology and Gene Regulation
- Protein Kinase Regulation and GTPase Signaling
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
Papers in
-
- Developmental Biology and Gene Regulation 4
- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 2
- Kruppel-like factors research 2
- Cancer-related gene regulation 2
-
- Biotin and Related Studies 2
- Co-authors
- Penelope Hayward (2 shared papers)Alfonso Martínez Arias (3 shared papers)Alfonso Martínez-Arias (1 shared paper)Yusuf Akhter (2 shared papers)Sangita Mukhopadhyay (1 shared paper)Seyed E. Hasnain (1 shared paper)Tom L. Blundell (3 shared papers)Matthias Wilmanns (4 shared papers)
- Journals
- Nature Communications (1 paper)Experimental Parasitology (1 paper)ChemBioChem (1 paper)Protein Science (1 paper)FEBS Open Bio (1 paper)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
M.T. Ehebauer
16 papers receiving 788 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 159
- Molecular Biology 534
- Epidemiology 134
- Cell Biology 64
- Cancer Research 45
Countries citing papers authored by M.T. Ehebauer
This map shows the geographic impact of M.T. Ehebauer'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 M.T. Ehebauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Ehebauer more than expected).
Fields of papers citing papers by M.T. Ehebauer
This network shows the impact of papers produced by M.T. Ehebauer. 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 M.T. Ehebauer. The network helps show where M.T. Ehebauer may publish in the future.
Co-authors
The 25 scholars most cited alongside M.T. Ehebauer, 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 | 2006 | 147 | |
| 2 | 2006 | 145 | |
| 3 | 2011 | 120 | |
| 4 | 2018 | 99 | |
| 5 | 2013 | 92 | |
| 6 | 2005 | 49 | |
| 7 | 2011 | 44 | |
| 8 | 2002 | 19 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 15 | |
| 11 | 2009 | 15 | |
| 12 | 2011 | 13 | |
| 13 | 2021 | 7 | |
| 14 | 2016 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2022 | 2 |
About M.T. Ehebauer
M.T. Ehebauer is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Organic Chemistry and Genetics, having authored 16 papers that have together received 795 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), RNA and protein synthesis mechanisms (4 papers), DNA Repair Mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers), Click Chemistry and Applications (2 papers), Biotin and Related Studies (2 papers), Kruppel-like factors research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Infectious Diseases (159 citations), Molecular Biology (534 citations), Epidemiology (134 citations), Cell Biology (64 citations) and Cancer Research (45 citations). M.T. Ehebauer has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Penelope Hayward, Alfonso Martínez Arias, Alfonso Martínez-Arias, Yusuf Akhter, Sangita Mukhopadhyay, Seyed E. Hasnain, Tom L. Blundell, Matthias Wilmanns, M. Marsh and Chris Abell. Their work appears in journals such as Nature Communications, Experimental Parasitology, ChemBioChem, Protein Science and FEBS Open Bio.
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.