Lars E. Borm
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Single-cell and spatial transcriptomics 10
- RNA Research and Splicing 2
- Co-authors
- Sten Linnarsson (6 shared papers)Simone Codeluppi (6 shared papers)Gioele La Manno (4 shared papers)Amit Zeisel (3 shared papers)Peter Lönnerberg (4 shared papers)Ernest Arenas (3 shared papers)Emelie Braun (2 shared papers)Ka Wai Lee (2 shared papers)
- Journals
- Science (3 papers)Nature Biotechnology (2 papers)Cell (2 papers)Cell Reports Methods (1 paper)Nature Methods (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Lars E. Borm
13 papers receiving 6.3k citations
Lars E. Borm's Hit Papers
Peers
Comparison fields: 5 of 134
- Developmental Neuroscience 395
- Neurology 749
- Biophysics 540
- Molecular Biology 4.1k
- Immunology 1.1k
Countries citing papers authored by Lars E. Borm
This map shows the geographic impact of Lars E. Borm'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 Lars E. Borm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars E. Borm more than expected).
Fields of papers citing papers by Lars E. Borm
This network shows the impact of papers produced by Lars E. Borm. 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 Lars E. Borm. The network helps show where Lars E. Borm may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars E. Borm, 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 | RNA velocity of single cells Hit paper breakdown → | 2018 | 2708 |
| 2 | Molecular Architecture of the Mouse Nervous System Hit paper breakdown → | 2018 | 1833 |
| 3 | Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells Hit paper breakdown → | 2016 | 611 |
| 4 | Spatial organization of the somatosensory cortex revealed by osmFISH Hit paper breakdown → | 2018 | 429 |
| 5 | 2017 | 282 | |
| 6 | 2023 | 136 | |
| 7 | 2021 | 78 | |
| 8 | 2019 | 75 | |
| 9 | 2022 | 74 | |
| 10 | 2016 | 52 | |
| 11 | 2021 | 37 | |
| 12 | 2024 | 20 | |
| 13 | 2025 | 19 |
About Lars E. Borm
Lars E. Borm is a scholar working on Neurology, Molecular Biology, Cancer Research, Biophysics and Developmental Neuroscience, having authored 13 papers that have together received 6.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), MicroRNA in disease regulation (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), RNA Research and Splicing (2 papers), Cell Image Analysis Techniques (2 papers), Animal Genetics and Reproduction (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Developmental Neuroscience (395 citations), Neurology (749 citations), Biophysics (540 citations), Molecular Biology (4.1k citations) and Immunology (1.1k citations). Lars E. Borm has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Sten Linnarsson, Simone Codeluppi, Gioele La Manno, Amit Zeisel, Peter Lönnerberg, Ernest Arenas, Emelie Braun, Ka Wai Lee, Ed S. Lein and Nathan Skene. Their work appears in journals such as Science, Nature Biotechnology, Cell, Cell Reports Methods and Nature Methods.
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.