Lars Steinmüller

651 citations
8 papers · 523 · h-index 7

Impact in

    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
    • Reproductive System and Pregnancy

Papers in

    • Genomics and Chromatin Dynamics 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Cytokine Signaling Pathways and Interactions 1

Lars Steinmüller

8 papers receiving 516 citations

Peers

Lars Steinmüller
Comparison fields: 5 of 79
  • Immunology 209
  • Behavioral Neuroscience 17
  • Molecular Biology 228
  • Cancer Research 46
  • Endocrinology, Diabetes and Metabolism 47
Replace Sybille D. Reichardt with:
Sybille D. Reichardt Germany
J X Lin United States
Gen Kudo Japan
Mo Chen China
Kennedy Makondo Japan
Christine R. Keenan Australia
Lucinda H. Elliott United States
Dawn Smith United States
R. Galien France
Lars Steinmüller relative to Sybille D. Reichardt Germany Sybille D. Reichardt's profile →
Citations per field
00.5×2.9×
Sybille D. Reichardt · 1×
Citations per year

Countries citing papers authored by Lars Steinmüller

Since Specialization
Citations

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

Fields of papers citing papers by Lars Steinmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006321
2 200159
3 200150
4 200333
5 200128
6 199819
7 200210
8 20233

About Lars Steinmüller

Lars Steinmüller is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Cellular and Molecular Neuroscience and Physiology, having authored 8 papers that have together received 523 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Histiocytic Disorders and Treatments (1 paper), Parvovirus B19 Infection Studies (1 paper), Immune Response and Inflammation (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (209 citations), Behavioral Neuroscience (17 citations), Molecular Biology (228 citations), Cancer Research (46 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Lars Steinmüller has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Gerald Thiel, Katarzyna Barczyk, Klaus Tenbrock, Johannes Roth, Martin Eisenacher, Wolfgang Nacken, Clemens Sorg, Jan Ehrchen, Cord Sunderkötter and Giuseppe Cibelli. Their work appears in journals such as Biochemical Journal, Nucleic Acids Research, Biological Chemistry, Frontiers in Immunology and Blood.

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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