Lars Hubatsch

727 citations
12 papers · 438 · h-index 8

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 3
    • Genetics, Aging, and Longevity in Model Organisms 4

Lars Hubatsch

11 papers receiving 435 citations

Peers

Lars Hubatsch
Comparison fields: 5 of 63
  • Aging 94
  • Cell Biology 118
  • Molecular Biology 320
  • Endocrine and Autonomic Systems 24
  • Biophysics 19
Replace Rukshala Illukkumbura with:
Rukshala Illukkumbura United Kingdom
Gabriel E. Neurohr Switzerland
Matthias Rieckher Germany
Rachel Terry United States
Saroj G. Regmi United States
Nelio T. L. Rodrigues United Kingdom
Thomas Dange United States
Laurent Golé Singapore
Taryn E. Gillies United States
Elyse S. Blum United States
Lars Hubatsch relative to Rukshala Illukkumbura United Kingdom Rukshala Illukkumbura's profile →
Citations per field
00.5×1.7×
Rukshala Illukkumbura · 1×
Citations per year

Countries citing papers authored by Lars Hubatsch

Since Specialization
Citations

This map shows the geographic impact of Lars Hubatsch'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 Hubatsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Hubatsch more than expected).

Fields of papers citing papers by Lars Hubatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Hubatsch. 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 Hubatsch. The network helps show where Lars Hubatsch may publish in the future.

Co-authors

The 25 scholars most cited alongside Lars Hubatsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lars Hubatsch Line = papers co-authored together Lars Hubatsch links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018116
2 2017114
3 202149
4 202141
5 201939
6 201938
7 202121
8 202311
9 20196
10 20252
11 20251
12 20250

About Lars Hubatsch

Lars Hubatsch is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Cell Biology and Biomedical Engineering, having authored 12 papers that have together received 438 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA and protein synthesis mechanisms (3 papers), Nanopore and Nanochannel Transport Studies (2 papers), Circadian rhythm and melatonin (2 papers), Cellular Mechanics and Interactions (1 paper), Block Copolymer Self-Assembly (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Aging (94 citations), Cell Biology (118 citations), Molecular Biology (320 citations), Endocrine and Autonomic Systems (24 citations) and Biophysics (19 citations). Lars Hubatsch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Nathan W. Goehring, Nisha Hirani, Florent Péglion, Anthony A. Hyman, Rukshala Illukkumbura, Jon Roffey, Daniel St Johnston, Julie Ahringer, Josana Rodríguez and Ina Poser. Their work appears in journals such as eLife, The Journal of Cell Biology, Current topics in developmental biology, Current Biology and Nature 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.

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