Tim Lohoff
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Renal and related cancers 2
- Gene Regulatory Network Analysis 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Jennifer Nichols (6 shared papers)Berthold Göttgens (5 shared papers)Wolf Reik (7 shared papers)Ricard Argelaguet (4 shared papers)John C. Marioni (3 shared papers)Qidong Jia (1 shared paper)Ben Ernest (1 shared paper)Albrecht G. von Arnim (1 shared paper)
- Journals
- Cell stem cell (2 papers)Genome biology (2 papers)Nature Biotechnology (1 paper)The Plant Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Tim Lohoff
9 papers receiving 420 citations
Tim Lohoff's Hit Papers
Peers
Comparison fields: 5 of 61
- Biophysics 38
- Aging 11
- Molecular Biology 355
- Endocrine and Autonomic Systems 17
- Cancer Research 26
Countries citing papers authored by Tim Lohoff
This map shows the geographic impact of Tim Lohoff'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 Tim Lohoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Lohoff more than expected).
Fields of papers citing papers by Tim Lohoff
This network shows the impact of papers produced by Tim Lohoff. 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 Tim Lohoff. The network helps show where Tim Lohoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Lohoff, 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 | Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis Hit paper breakdown → | 2021 | 189 |
| 2 | 2019 | 71 | |
| 3 | 2015 | 69 | |
| 4 | 2016 | 31 | |
| 5 | 2019 | 29 | |
| 6 | 2022 | 18 | |
| 7 | 2024 | 7 | |
| 8 | 2025 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2026 | 0 | |
| 11 | 2025 | 0 |
About Tim Lohoff
Tim Lohoff is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Ophthalmology, Oncology and Cell Biology, having authored 11 papers that have together received 421 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), Gene Regulatory Network Analysis (2 papers), Plant Molecular Biology Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Biophysics (38 citations), Aging (11 citations), Molecular Biology (355 citations), Endocrine and Autonomic Systems (17 citations) and Cancer Research (26 citations). Tim Lohoff has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Jennifer Nichols, Berthold Göttgens, Wolf Reik, Ricard Argelaguet, John C. Marioni, Qidong Jia, Ben Ernest, Albrecht G. von Arnim, James Satterlee and Alsu Missarova. Their work appears in journals such as Cell stem cell, Genome biology, Nature Biotechnology, The Plant Cell and Cell Reports.
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.