Thomas Lörch
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Single-cell and spatial transcriptomics 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Jan Ellenberg (1 shared paper)Christian Conrad (1 shared paper)Roland Eils (1 shared paper)Patrick Warnat (1 shared paper)Nathalie Daigle (1 shared paper)Rainer Pepperkok (1 shared paper)Holger Erfle (1 shared paper)Peter F. Ambros (4 shared papers)
- Journals
- Blood (4 papers)Fetal Diagnosis and Therapy (2 papers)Cytometry Part A (2 papers)Cytogenetic and Genome Research (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Thomas Lörch
17 papers receiving 423 citations
Peers
Comparison fields: 5 of 60
- Biophysics 144
- Health Informatics 8
- Media Technology 45
- Cancer Research 48
- Molecular Biology 207
Countries citing papers authored by Thomas Lörch
This map shows the geographic impact of Thomas Lörch'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 Lörch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lörch more than expected).
Fields of papers citing papers by Thomas Lörch
This network shows the impact of papers produced by Thomas Lörch. 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 Lörch. The network helps show where Thomas Lörch may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lörch, 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 | 2004 | 179 | |
| 2 | 1998 | 62 | |
| 3 | 2005 | 42 | |
| 4 | 2006 | 37 | |
| 5 | 2003 | 21 | |
| 6 | 2003 | 15 | |
| 7 | 2005 | 15 | |
| 8 | 1984 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2007 | 6 | |
| 14 | 2008 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 1999 | 1 |
About Thomas Lörch
Thomas Lörch is a scholar working on Molecular Biology, Genetics, Cancer Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 440 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Digital Imaging for Blood Diseases (3 papers), AI in cancer detection (3 papers), Cell Image Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Radiation Therapy and Dosimetry (2 papers), Chromosomal and Genetic Variations (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Biophysics (144 citations), Health Informatics (8 citations), Media Technology (45 citations), Cancer Research (48 citations) and Molecular Biology (207 citations). Thomas Lörch has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jan Ellenberg, Christian Conrad, Roland Eils, Patrick Warnat, Nathalie Daigle, Rainer Pepperkok, Holger Erfle, Peter F. Ambros, Karin M. Greulich‐Bode and Petra Boukamp. Their work appears in journals such as Blood, Fetal Diagnosis and Therapy, Cytometry Part A, Cytogenetic and Genome Research and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.
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.