Ralf Ross

1.5k citations
30 papers · 1.3k · h-index 18

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 14
    • T-cell and B-cell Immunology 11
    • Immune Cell Function and Interaction 6
    • Molecular Biology Techniques and Applications 3
    • vaccines and immunoinformatics approaches 3

Ralf Ross

30 papers receiving 1.2k citations

Peers

Ralf Ross
Comparison fields: 5 of 88
  • Immunology 786
  • Immunology and Allergy 92
  • Dermatology 120
  • Physiology 168
  • Biological Psychiatry 11
Replace John Leung with:
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Yuji Takeda Japan
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Citations per field
00.5×1.5×2×2.5×
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Citations per year

Countries citing papers authored by Ralf Ross

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011293
2 2003165
3 199898
4 200076
5 200358
6 199858
7 200754
8 199749
9 200348
10 200144
11 200342
12 199940
13 199536
14 197535
15 200532
16 201225
17 199924
18 199718
19 199316
20 199915

About Ralf Ross

Ralf Ross is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Cell Biology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (6 papers), Molecular Biology Techniques and Applications (3 papers), Cell Adhesion Molecules Research (3 papers), vaccines and immunoinformatics approaches (3 papers), Asthma and respiratory diseases (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Immunology (786 citations), Immunology and Allergy (92 citations), Dermatology (120 citations), Physiology (168 citations) and Biological Psychiatry (11 citations). Ralf Ross has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Angelika B. Reske‐Kunz, Michael U. Martin, Shafaqat Ali, Antje Mohs, Meike Thomas, M. Lienhard Schmitz, Matthias Bros, Jürgen Knop, Stephan Sudowe and Richard A. Rudders. Their work appears in journals such as The Journal of Immunology, Journal of Investigative Dermatology, The Journal of Experimental Medicine, Biochemical Journal and BioTechniques.

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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