Markus Haug

1.4k citations
31 papers · 938 indexed · h-index 17

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Tuberculosis Research and Epidemiology

Papers in

    • Immune Cell Function and Interaction 7
    • Toxin Mechanisms and Immunotoxins 5
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Heat shock proteins research 5

Markus Haug

31 papers receiving 925 citations

Peers

Markus Haug
Comparison fields: 5 of 94
  • Immunology 358
  • Infectious Diseases 182
  • Virology 38
  • Epidemiology 234
  • Molecular Biology 394
Replace Goran Bajic with:
Goran Bajic United States
Silvia Guglietta United States
Robert Blomgran Sweden
Agnieszka Jóźwik Poland
Ping Tsui United States
Antoine Tanne United States
Hilde Fure Norway
Jenni A. Hayward Australia
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Mike M. Myerburg United States
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Citations per field
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Citations per year

Countries citing papers authored by Markus Haug

Since Specialization
Citations

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

Fields of papers citing papers by Markus Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020201
2 201691
3 202066
4 201160
5 201458
6 201056
7 200546
8 201538
9 201536
10 199131
11 201829
12 201025
13 200724
14 201921
15 201919
16 201718
17 201318
18 201815
19 201414
20 202014

About Markus Haug

Markus Haug is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Oncology, having authored 31 papers that have together received 938 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Mycobacterium research and diagnosis (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Tuberculosis Research and Epidemiology (5 papers), Heat shock proteins research (5 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (358 citations), Infectious Diseases (182 citations), Virology (38 citations), Epidemiology (234 citations) and Molecular Biology (394 citations). Markus Haug has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Trude Helen Flo, Øyvind Halaas, Anne Marstad, N. V. Gopalakrishnan, Ursula Holzer, Marianne Sandvold Beckwith, Guenther E. Dannecker, Magnus Steigedal, Hany M. Ibrahim and Michael Niederweis. Their work appears in journals such as Frontiers in Immunology, European Journal of Immunology, Nature Communications, Immunology and Lab on a Chip.

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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