Robin Polz

575 citations
9 papers · 456 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Liver physiology and pathology 4
    • Immunotherapy and Immune Responses 1
    • T-cell and B-cell Immunology 1

Robin Polz

9 papers receiving 454 citations

Peers

Robin Polz
Comparison fields: 5 of 61
  • Immunology 224
  • Hepatology 64
  • Oncology 118
  • Epidemiology 78
  • Immunology and Allergy 13
Replace Ignazio Piseddu with:
Ignazio Piseddu Germany
Iranzu González Spain
Dolgor Baatar United States
Felix Marsh‐Wakefield Australia
Daniel Hanzhang Li United States
Rosa Azzaro Italy
Elisaveta Voynova Bulgaria
Christian Quack Germany
Amelia Clark United States
Galam Leem South Korea
Robin Polz relative to Ignazio Piseddu Germany Ignazio Piseddu's profile →
Citations per field
00.5×2×3×4×4.7×
Ignazio Piseddu · 1×
Citations per year

Countries citing papers authored by Robin Polz

Since Specialization
Citations

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

Fields of papers citing papers by Robin Polz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2014190
2 201991
3 201863
4 201553
5 201821
6 201919
7 20218
8 20148
9 20193

About Robin Polz

Robin Polz is a scholar working on Hepatology, Immunology, Epidemiology, Cancer Research and Surgery, having authored 9 papers that have together received 456 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Liver Disease Diagnosis and Treatment (4 papers), NF-κB Signaling Pathways (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Pancreatic function and diabetes (1 paper), Cell Adhesion Molecules Research (1 paper), Immunotherapy and Immune Responses (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (224 citations), Hepatology (64 citations), Oncology (118 citations), Epidemiology (78 citations) and Immunology and Allergy (13 citations). Robin Polz has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Philipp Alexander Lang, Dieter Häussinger, Jürgen Scheller, Doreen Manuela Floss, Larissa Lamertz, Jens M. Moll, Haifeng C. Xu, Aleksandra A. Pandyra, Karl Sebastian Lang and Jun Chao Huang. Their work appears in journals such as Science Signaling, Hepatology, Immunity, The Journal of Immunology and Journal of Hepatology.

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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