Jan Schroeder

464 citations
6 papers · 63 · h-index 3

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy

Papers in

    • T-cell and B-cell Immunology 3
    • Phagocytosis and Immune Regulation 1
    • Single-cell and spatial transcriptomics 1
    • TGF-β signaling in diseases 1
    • Bone Metabolism and Diseases 1

Jan Schroeder

3 papers receiving 62 citations

Peers

Jan Schroeder
Comparison fields: 5 of 38
  • Immunology 38
  • Biological Psychiatry 1
  • Transplantation 1
  • Oncology 9
  • Molecular Biology 18
Replace Leslie Y. T. Leung with:
Leslie Y. T. Leung Canada
Brandi L. Clark United States
Sandy S. Burkart Germany
Xin Yi Lim Australia
Philippe Dehio Switzerland
Ian Mantel United States
Juhao Yang Germany
Joe Fenn United Kingdom
William Chour United States
Hasan Kapaklı Türkiye
Jan Schroeder relative to Leslie Y. T. Leung Canada Leslie Y. T. Leung's profile →
Citations per field
00.5×
Leslie Y. T. Leung · 1×
Citations per year

Countries citing papers authored by Jan Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202338
2 202215
3 202410
4 20250
5 20250
6 20250

About Jan Schroeder

Jan Schroeder is a scholar working on Immunology, Molecular Biology, Virology, Epidemiology and Neurology, having authored 6 papers that have together received 63 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (1 paper), Hepatitis B Virus Studies (1 paper), HIV Research and Treatment (1 paper), TGF-β signaling in diseases (1 paper), Phagocytosis and Immune Regulation (1 paper), Bone Metabolism and Diseases (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Immunology (38 citations), Biological Psychiatry (1 citation), Transplantation (1 citation), Oncology (9 citations) and Molecular Biology (18 citations). Jan Schroeder has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Simone L. Park, Florent Ginhoux, Raphaël Gottardo, Evan W. Newell, Susan N. Christo, Raíssa Fonseca, Scott N. Mueller, Thomas N. Burn, Imran G. House and Laura K. Mackay. Their work appears in journals such as Science Immunology, Science Advances, Microbiology Spectrum, Nature Communications and Immunity.

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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