Thomas Lörch
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Single-cell and spatial transcriptomics 2
- Molecular Biology Techniques and Applications 2
- Genetics 6
- Genomic variations and chromosomal abnormalities 5
- Co-authors
- Patrick Warnat (1 shared paper)Christian Conrad (1 shared paper)Roland Eils (1 shared paper)Nathalie Daigle (1 shared paper)Jan Ellenberg (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)Cytometry Part B Clinical Cytometry (1 paper)Chromosome Research (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Thomas Lörch
17 papers receiving 405 citations
Peers
Comparison fields: 5 of 62
- Biophysics 139
- Health Informatics 8
- Media Technology 51
- Cancer Research 58
- Molecular Biology 228
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 | 166 | |
| 2 | 1998 | 60 | |
| 3 | 2005 | 41 | |
| 4 | 2006 | 37 | |
| 5 | 2003 | 19 | |
| 6 | 2003 | 15 | |
| 7 | 2005 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 1984 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2007 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2008 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 1999 | 1 | |
| 17 | 2023 | 1 |
About Thomas Lörch
Thomas Lörch is a scholar working on Molecular Biology, Genetics, Cancer Research, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 416 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Cell Image Analysis Techniques (3 papers), Prenatal Screening and Diagnostics (3 papers), AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers), Molecular Biology Techniques and Applications (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Biophysics (139 citations), Health Informatics (8 citations), Media Technology (51 citations), Cancer Research (58 citations) and Molecular Biology (228 citations). Thomas Lörch has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Patrick Warnat, Christian Conrad, Roland Eils, Nathalie Daigle, Jan Ellenberg, Rainer Pepperkok, Holger Erfle, Peter F. Ambros, Petra Boukamp and Karin M. Greulich‐Bode. Their work appears in journals such as Blood, Fetal Diagnosis and Therapy, Cytometry Part A, Cytometry Part B Clinical Cytometry and Chromosome Research.
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.