Ines Lahmann

734 citations
17 papers · 449 · h-index 11

Impact in

    • Cellular Mechanics and Interactions
    • Caveolin-1 and cellular processes
    • Muscle Physiology and Disorders
    • Developmental Biology and Gene Regulation
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing

Papers in

    • Muscle Physiology and Disorders 6
    • RNA Research and Splicing 3
    • Pluripotent Stem Cells Research 2
    • RNA regulation and disease 2
    • Cellular Mechanics and Interactions 3
    • Caveolin-1 and cellular processes 2

Ines Lahmann

17 papers receiving 447 citations

Peers

Ines Lahmann
Comparison fields: 5 of 75
  • Cell Biology 98
  • Molecular Biology 284
  • Aging 7
  • Critical Care and Intensive Care Medicine 14
  • Genetics 30
Replace Stephanie Hirner with:
Stephanie Hirner Germany
John F. Bachman United States
Brian K. Buckley United States
Margherita Verardo Italy
Tetsuaki Miyake Canada
Silvia Castagnaro Italy
Gregory Redpath Australia
Gonzalo Córdova Chile
Maryline Favier France
Ines Lahmann relative to Stephanie Hirner Germany Stephanie Hirner's profile →
Citations per field
00.5×12×
Stephanie Hirner · 1×
Citations per year

Countries citing papers authored by Ines Lahmann

Since Specialization
Citations

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

Fields of papers citing papers by Ines Lahmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ines Lahmann, 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 Ines Lahmann Line = papers co-authored together Ines Lahmann links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021144
2 201967
3 202149
4 202044
5 202128
6 202319
7 201915
8 201714
9 202113
10 201912
11 202010
12 200710
13 20219
14 20257
15 20244
16 20213
17 20241

About Ines Lahmann

Ines Lahmann is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 17 papers that have together received 449 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Cellular Mechanics and Interactions (3 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers), Caveolin-1 and cellular processes (2 papers), Cell Adhesion Molecules Research (2 papers), RNA regulation and disease (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cell Biology (98 citations), Molecular Biology (284 citations), Aging (7 citations), Critical Care and Intensive Care Medicine (14 citations) and Genetics (30 citations). Ines Lahmann has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Carmen Birchmeier, Jana Wolf, Mihail Todiraş, Steffen Weber‐Carstens, Sibylle Schmidt, Ryoichiro Kageyama, Lars Kaderali, Alexander Hahn, Tobias Wollersheim and Yao Zhang. Their work appears in journals such as Nature Communications, Genes & Development, Experimental Cell Research, eLife and PLoS ONE.

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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