Markus Hildner

1.8k citations
13 papers · 896 · h-index 10

Impact in

  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Immunotherapy and Immune Responses 4
    • Atherosclerosis and Cardiovascular Diseases 3
    • Immune Response and Inflammation 2
    • T-cell and B-cell Immunology 2
    • Single-cell and spatial transcriptomics 1

Markus Hildner

13 papers receiving 874 citations

Peers

Markus Hildner
Comparison fields: 5 of 80
  • Immunology 420
  • Biochemistry 108
  • Immunology and Allergy 75
  • Physiology 241
  • Pharmacology 144
Replace Katharina Lötzer with:
Katharina Lötzer Germany
Beverley Koller United States
P. Salbach Germany
Hanna E. Agardh Sweden
Yoshikazu Ishimoto Japan
Matteo Marini Italy
Chien-Ping Liang United States
Naoko Iino Japan
Sandra A. Schreyer Sweden
Charles N. Serhan United States
Markus Hildner relative to Katharina Lötzer Germany Katharina Lötzer's profile →
Citations per field
00.5×1.5×
Katharina Lötzer · 1×
Citations per year

Countries citing papers authored by Markus Hildner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hildner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2003378
2 200192
3 200388
4 201085
5 200677
6 199854
7 200052
8 201120
9 201117
10 201915
11 20078
12 20006
13 20224

About Markus Hildner

Markus Hildner is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Surgery, having authored 13 papers that have together received 896 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Barrier Structure and Function Studies (2 papers), Cell Adhesion Molecules Research (2 papers), Immune Response and Inflammation (2 papers), T-cell and B-cell Immunology (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (420 citations), Biochemistry (108 citations), Immunology and Allergy (75 citations), Physiology (241 citations) and Pharmacology (144 citations). Markus Hildner has collaborated with scholars based in Germany, Sweden and Canada. Frequent co-authors include Andreas J. R. Habenicht, Rainer Spanbroek, Katharina Lötzer, Olof Rådmark, Bengt Samuelsson, Hartmut Kühn, Anja Urbach, Rolf Gräbner, Tina Cohnert and Horst Robenek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology, Blood, Prostaglandins & Other Lipid Mediators and Carcinogenesis.

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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