Thomas Eicher
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 6
-
- Cancer therapeutics and mechanisms 3
- RNA and protein synthesis mechanisms 1
- Co-authors
- Klaas M. Pos (8 shared papers)Markus A. Seeger (6 shared papers)François Verrey (5 shared papers)Kay Diederichs (6 shared papers)Lorenz Brandstätter (6 shared papers)A. Schiefner (2 shared papers)Hi-jea Cha (3 shared papers)Winfried V. Kern (2 shared papers)
- Journals
- The Modern Language Review (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Biological Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Thomas Eicher
8 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 706
- Endocrinology 77
- Oncology 340
- Pharmacology 200
- Genetics 337
Countries citing papers authored by Thomas Eicher
This map shows the geographic impact of Thomas Eicher'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 Thomas Eicher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Eicher more than expected).
Fields of papers citing papers by Thomas Eicher
This network shows the impact of papers produced by Thomas Eicher. 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 Thomas Eicher. The network helps show where Thomas Eicher may publish in the future.
Co-authors
The 22 scholars most cited alongside Thomas Eicher, 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 | 466 | |
| 2 | 2012 | 274 | |
| 3 | 2014 | 141 | |
| 4 | 2008 | 132 | |
| 5 | 2008 | 104 | |
| 6 | 2009 | 53 | |
| 7 | 2004 | 28 | |
| 8 | 2011 | 19 | |
| 9 | Märchen und Moderne : Fallbeispiele einer intertextuellen Relation | 1996 | 0 |
| 10 | 2025 | 0 | |
| 11 | 1995 | 0 | |
| 12 | Lesesozialisation und Germanistikstudium | 1999 | 0 |
About Thomas Eicher
Thomas Eicher is a scholar working on Molecular Medicine, Molecular Biology, Oncology, Language and Linguistics and Literature and Literary Theory, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Cancer therapeutics and mechanisms (3 papers), Linguistic research and analysis (3 papers), Enzyme Structure and Function (2 papers), German Literature and Culture Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (706 citations), Endocrinology (77 citations), Oncology (340 citations), Pharmacology (200 citations) and Genetics (337 citations). Thomas Eicher has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Klaas M. Pos, Markus A. Seeger, François Verrey, Kay Diederichs, Lorenz Brandstätter, A. Schiefner, Hi-jea Cha, Winfried V. Kern, Jürgen A. Bohnert and Markus G. Grütter. Their work appears in journals such as The Modern Language Review, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biological Chemistry, Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences.
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.