Manfred Kunz

6.2k citations
114 papers · 3.8k indexed · h-index 34

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Immunology top 2%
    • Immunotherapy and Immune Responses

Papers in

Manfred Kunz

107 papers receiving 3.7k citations

Peers

Manfred Kunz
Comparison fields: 5 of 135
  • Cancer Research 1.2k
  • Immunology 970
  • Molecular Biology 2.3k
  • Oncology 806
  • Immunology and Allergy 133
Replace Latifa Bakiri with:
Latifa Bakiri Austria
Masakiyo Sakaguchi Japan
Susan R. Pfeffer United States
Kanaga Sabapathy Singapore
Jordan S. Fridman United States
Chunhong Yan United States
Gary R. Fanger United States
Mira Jung United States
Rongcheng Luo China
Isabelle Le Mercier United States
Manfred Kunz relative to Latifa Bakiri Austria Latifa Bakiri's profile →
Citations per field
00.5×1.5×
Latifa Bakiri · 1×
Citations per year

Countries citing papers authored by Manfred Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20238
4 20232
5 202115
6 201962
7 20185
8 201710
9 20156
10 201270
11 201260
12 201024
13 200913
14 20087
15 200891
16 2007175
17
New polymers from plant oils as raw material
20033
18 199991
19 199814
20 199236

About Manfred Kunz

Manfred Kunz is a scholar working on Cancer Research, Dermatology, Rheumatology, Immunology and Immunology and Allergy, having authored 114 papers that have together received 3.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (20 papers), Cutaneous Melanoma Detection and Management (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), Systemic Lupus Erythematosus Research (8 papers), T-cell and B-cell Immunology (8 papers), Psoriasis: Treatment and Pathogenesis (8 papers), MicroRNA in disease regulation (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (970 citations), Molecular Biology (2.3k citations), Oncology (806 citations) and Immunology and Allergy (133 citations). Manfred Kunz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Saleh Ibrahim, Gerd Gross, Julia Schultz, Peter Lorenz, Dirk Koczan, R. Gillitzer, Ulf R. Rapp, Stephan Ludwig, Matthias Goebeler and Atiye Toksoy. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Frontiers in Immunology, Journal of Biological Chemistry, Experimental Dermatology and Oncotarget.

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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