Lisa Schmidleithner

3.2k citations
4 papers · 33 · h-index 3

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 2
    • interferon and immune responses 1
    • Single-cell and spatial transcriptomics 2
    • CRISPR and Genetic Engineering 1

Lisa Schmidleithner

4 papers receiving 33 citations

Peers

Lisa Schmidleithner
Comparison fields: 5 of 21
  • Immunology 19
  • Oncology 11
  • Transplantation 1
  • Periodontics 1
  • Endocrine and Autonomic Systems 1
Replace Felipe Valença-Pereira with:
Felipe Valença-Pereira United States
Asmita Pant Germany
Nicole Kirk United States
Alexandra Leutbecher Germany
Anna‐Marie Pedde Germany
Deepthi Rajagopalan United States
Shefali A. Patel United States
Emily L. Ashkin United States
Jongchan Choi United States
Jenefa Begum United Kingdom
Lisa Schmidleithner relative to Felipe Valença-Pereira United States Felipe Valença-Pereira's profile →
Citations per field
00.5×1.5×
Felipe Valença-Pereira · 1×
Citations per year

Countries citing papers authored by Lisa Schmidleithner

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Schmidleithner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Lisa Schmidleithner

Lisa Schmidleithner is a scholar working on Immunology, Molecular Biology, Oncology, Plant Science and Infectious Diseases, having authored 4 papers that have together received 33 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (1 paper), interferon and immune responses (1 paper), Chromosomal and Genetic Variations (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (19 citations), Oncology (11 citations), Transplantation (1 citation), Periodontics (1 citation) and Endocrine and Autonomic Systems (1 citation). Lisa Schmidleithner has collaborated with scholars based in Germany, Australia and Japan. Frequent co-authors include Markus Feuerer, Asmita Pant, Claudia Gebhard, Michael Delacher, Sebastian Bittner, Thomas Hehlgans, Michael Rehli, Nicholas Strieder, Matthias Edinger and Bernd Echtenacher. Their work appears in journals such as Nature reviews. Immunology, Proceedings of the National Academy of Sciences, Immunity and Frontiers in Immunology.

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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