Ines Lahmann

726 citations
16 papers · 413 · h-index 10

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Caveolin-1 and cellular processes
    • Cellular transport and secretion
    • Muscle Physiology and Disorders
    • Developmental Biology and Gene Regulation

Papers in

    • Caveolin-1 and cellular processes 2
    • Muscle Physiology and Disorders 6
    • Pluripotent Stem Cells Research 2
    • Developmental Biology and Gene Regulation 2
    • RNA Research and Splicing 1

Ines Lahmann

14 papers receiving 411 citations

Peers

Ines Lahmann
Comparison fields: 5 of 63
  • Cell Biology 83
  • Molecular Biology 196
  • Physiology 42
  • Epidemiology 51
  • Biochemistry 10
Replace Luca Occhigrossi with:
Luca Occhigrossi Italy
Christelle Guéré France
Muhmmad Omar‐Hmeadi Sweden
Takashi Katome Japan
Takahisa Koga Japan
Roi Ankawa Israel
Meilin Wu China
Hind Azegrouz Spain
Ki‐Beom Suhr South Korea
Ines Lahmann relative to Luca Occhigrossi Italy Luca Occhigrossi's profile →
Citations per field
00.5×1.5×2.1×
Luca Occhigrossi · 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

16 of 16 papers shown
#Work
1 2021159
2 202150
3 202049
4 202132
5 202326
6 201715
7 201915
8 202114
9 202013
10 200711
11 202110
12 202510
13 20248
14 20241
15 20230
16 20260

About Ines Lahmann

Ines Lahmann is a scholar working on Cell Biology, Molecular Biology, Oncology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 413 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Pluripotent Stem Cells Research (2 papers), Caveolin-1 and cellular processes (2 papers), Developmental Biology and Gene Regulation (2 papers), Lymphatic System and Diseases (1 paper), Sepsis Diagnosis and Treatment (1 paper), RNA Research and Splicing (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cell Biology (83 citations), Molecular Biology (196 citations), Physiology (42 citations), Epidemiology (51 citations) and Biochemistry (10 citations). Ines Lahmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Carmen Birchmeier, Lukas Zanders, Steffen Weber‐Carstens, Mihail Todiraş, Melanie Kny, Yao Zhang, Jens Fielitz, Tobias Wollersheim, Sibylle Schmidt and Lars Kaderali. Their work appears in journals such as Nature Communications, eLife, Experimental Cell Research, Development and Frontiers in Cell and Developmental Biology.

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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