Thomas Emrich
- Clinical Biochemistry top 1%
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 6
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
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- Monoclonal and Polyclonal Antibodies Research 13
- Oncology top 10%
- Virology top 10%
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- Protein purification and stability 7
- Glycosylation and Glycoproteins Research 6
- Receptor Mechanisms and Signaling 6
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- Telomeres, Telomerase, and Senescence 7
- Co-authors
- Martin LippReinhold FörsterElisabeth KremmerTilman SchlothauerAndreas HoeftH. WissingGerd HaberhausenKlaus‐Peter Hunfeld
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Thomas Emrich
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Clinical Biochemistry 261
- Immunology 719
- Radiology, Nuclear Medicine and Imaging 592
- Oncology 401
- Virology 68
Countries citing papers authored by Thomas Emrich
This map shows the geographic impact of Thomas Emrich'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 Emrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Emrich more than expected).
Fields of papers citing papers by Thomas Emrich
This network shows the impact of papers produced by Thomas Emrich. 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 Emrich. The network helps show where Thomas Emrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Emrich, 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 | 2022 | 35 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 46 | |
| 4 | 2019 | 47 | |
| 5 | 2017 | 17 | |
| 6 | 2017 | 39 | |
| 7 | 2016 | 202 | |
| 8 | 2014 | 24 | |
| 9 | 2014 | 93 | |
| 10 | 2013 | 111 | |
| 11 | 2007 | 252 | |
| 12 | 2005 | 30 | |
| 13 | 2003 | 9 | |
| 14 | 2003 | 13 | |
| 15 | 2001 | 13 | |
| 16 | 2001 | 20 | |
| 17 | 1999 | 2 | |
| 18 | 1993 | 11 | |
| 19 | 1993 | 15 | |
| 20 | 1992 | 125 |
About Thomas Emrich
Thomas Emrich is a scholar working on Immunology, Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging, Hematology and Virology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein purification and stability (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Glycosylation and Glycoproteins Research (6 papers), Biosimilars and Bioanalytical Methods (6 papers), Receptor Mechanisms and Signaling (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Clinical Biochemistry (261 citations), Immunology (719 citations), Radiology, Nuclear Medicine and Imaging (592 citations), Oncology (401 citations) and Virology (68 citations). Thomas Emrich has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Lipp, Reinhold Förster, Elisabeth Kremmer, Tilman Schlothauer, Andreas Hoeft, H. Wissing, Gerd Haberhausen, Klaus‐Peter Hunfeld, Lutz Lehmann and Frank Stüber. Their work appears in journals such as Blood, Bioanalysis, mAbs, Journal of Medical Microbiology and Biochemical and Biophysical Research Communications.
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.