Jan Kubach

1.3k citations
9 papers · 1.0k indexed · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Galectins and Cancer Biology
  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Asthma and respiratory diseases

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 1
    • HIV Research and Treatment 1

Jan Kubach

9 papers receiving 1.0k citations

Peers

Jan Kubach
Comparison fields: 5 of 75
  • Immunology 798
  • Physiology 56
  • Virology 48
  • Transplantation 19
  • Oncology 156
Replace Gijs Hardenberg with:
Gijs Hardenberg Netherlands
Tracy Sawchuk Canada
Paul Vink Netherlands
Luke S. Manlove United States
Keisuke Horikawa Australia
Catherine Gélin France
Barbara J. Vilen United States
Katia Mayol France
Magdalena Hagn Australia
Thamara Beyer Germany
Jan Kubach relative to Gijs Hardenberg Netherlands Gijs Hardenberg's profile →
Citations per field
00.5×3.7×
Gijs Hardenberg · 1×
Citations per year

Countries citing papers authored by Jan Kubach

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kubach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201419
2 201429
3 200963
4 200972
5 2007473
6 2007161
7 200730
8 200553
9 2004134

About Jan Kubach

Jan Kubach is a scholar working on Immunology, Virology, History, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper), CAR-T cell therapy research (1 paper), Immune Response and Inflammation (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (798 citations), Physiology (56 citations), Virology (48 citations), Transplantation (19 citations) and Oncology (156 citations). Jan Kubach has collaborated with scholars based in Germany, Croatia and India. Frequent co-authors include Helmut Jonuleit, Christian Becker, Edgar Schmitt, Tobias Bopp, Michael Stassen, Steffen Schmitt, Sabine Stoll, Hansjörg Schild, Stefan Klein-Heßling and Alois Palmetshofer. Their work appears in journals such as European Journal of Immunology, Blood, The Journal of Experimental Medicine, International Journal of Cancer and Immunology and Cell Biology.

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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