Lisa Holsten

469 citations
4 papers · 43 · h-index 2

Impact in

    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Neonatal Respiratory Health Research
    • Respiratory Support and Mechanisms
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways

Papers in

    • Single-cell and spatial transcriptomics 2
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 2
    • Tuberculosis Research and Epidemiology 1

Lisa Holsten

3 papers receiving 42 citations

Peers

Lisa Holsten
Comparison fields: 5 of 21
  • Pulmonary and Respiratory Medicine 26
  • Immunology 13
  • Biochemistry 3
  • Physiology 8
  • Immunology and Allergy 1
Replace Anthony T. Dang with:
Anthony T. Dang United States
L. Elisa Lahtela Finland
Samuel James Brake Australia
Samantha Barr Australia
Gabriella Long United Kingdom
Saskia Haitjema Netherlands
Naoto Kondo Japan
Avram Walts United States
Nouf Alkhamis Saudi Arabia
Olga Godlevska Ukraine
Lisa Holsten relative to Anthony T. Dang United States Anthony T. Dang's profile →
Citations per field
00.5×11×
Anthony T. Dang · 1×
Citations per year

Countries citing papers authored by Lisa Holsten

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Holsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Lisa Holsten

Lisa Holsten is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 4 papers that have together received 43 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Immune cells in cancer (1 paper), Tuberculosis Research and Epidemiology (1 paper), Neonatal Respiratory Health Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (26 citations), Immunology (13 citations), Biochemistry (3 citations), Physiology (8 citations) and Immunology and Allergy (1 citation). Lisa Holsten has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Thomas Ulas, Marie Oestreich, Kristian Händler, Kevin Baßler, Jan Hasenauer, Christoph Thiele, Joachim L. Schultze, Dirk Skowasch, Carmen Pizarro and Wataru Fujii. Their work appears in journals such as ERJ Open Research, Nature Communications, Bioinformatics and STAR Protocols.

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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