Isabel Ohs

854 citations
6 papers · 673 · h-index 6

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 5
    • IL-33, ST2, and ILC Pathways 2
    • T-cell and B-cell Immunology 1
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1
    • Lymphatic System and Diseases 1

Isabel Ohs

6 papers receiving 669 citations

Peers

Isabel Ohs
Comparison fields: 5 of 67
  • Immunology 465
  • Oncology 332
  • Biotechnology 40
  • Genetics 69
  • Molecular Biology 151
Replace Sara Burkhard with:
Sara Burkhard Switzerland
Heba Nowyhed United States
Bhalchandra Mirlekar United States
Margaux Vienne France
Endi K. Santosa United States
Trina J. Stewart United States
Geok Choo Sim United States
Sabina Kaczanowska United States
Makoto Kuwahara Japan
Shravan Madireddi United States
Isabel Ohs relative to Sara Burkhard Switzerland Sara Burkhard's profile →
Citations per field
00.5×1.6×
Sara Burkhard · 1×
Citations per year

Countries citing papers authored by Isabel Ohs

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Ohs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2014415
2 201779
3 201766
4 201650
5 201837
6 201626

About Isabel Ohs

Isabel Ohs is a scholar working on Immunology, Oncology, Surgery, Physiology and Infectious Diseases, having authored 6 papers that have together received 673 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (1 paper), Sympathectomy and Hyperhidrosis Treatments (1 paper), Lymphatic System and Diseases (1 paper), Lymphatic Disorders and Treatments (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (465 citations), Oncology (332 citations), Biotechnology (40 citations), Genetics (69 citations) and Molecular Biology (151 citations). Isabel Ohs has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Burkhard Becher, Sònia Tugues, Kathrin Nussbaum, Paulina Kulig, Sara Burkhard, Melissa Vrohlings, Johannes vom Berg, Sebastian J. Arnold, Christoph S. N. Klose and Andreas Diefenbach. Their work appears in journals such as The Journal of Experimental Medicine, Oncotarget, JCI Insight, Nature Communications and Cancer Research.

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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