I. Clauss

1.1k citations
13 papers · 931 · h-index 10

Impact in

    • Endoplasmic Reticulum Stress and Disease
  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • RNA Research and Splicing 3
    • RNA regulation and disease 2
    • RNA modifications and cancer 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Cytokine Signaling Pathways and Interactions 5

I. Clauss

12 papers receiving 921 citations

Peers

I. Clauss
Comparison fields: 5 of 80
  • Cell Biology 445
  • Immunology 287
  • Aging 17
  • Epidemiology 240
  • Molecular Biology 471
Replace Akiyuki Hada with:
Akiyuki Hada Japan
Tunda Hidvegi United States
Honglin Li United States
Ulrich Koenig Austria
Alison J. Darmon Canada
Ren‐Ming Dai United States
Klaus Heger Germany
Ji-An Pan United States
Hemamalini Bommiasamy United States
Mujun Zhao China
I. Clauss relative to Akiyuki Hada Japan Akiyuki Hada's profile →
Citations per field
00.5×3.4×
Akiyuki Hada · 1×
Citations per year

Countries citing papers authored by I. Clauss

Since Specialization
Citations

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

Fields of papers citing papers by I. Clauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000427
2 198799
3 199688
4 199378
5 198868
6 198958
7 198840
8 198830
9 199119
10 199211
11 19917
12 19696
13 20080

About I. Clauss

I. Clauss is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 13 papers that have together received 931 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (4 papers), RNA Research and Splicing (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA regulation and disease (2 papers), RNA modifications and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Cell Biology (445 citations), Immunology (287 citations), Aging (17 citations), Epidemiology (240 citations) and Molecular Biology (471 citations). I. Clauss has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Georges Huez, Marc Wathelet, Andrew C. Perkins, Heidi F. Horton, Michael J. Grusby, Daniel S. Friend, John H. Zhang, Andrew D. Scott, Michael C. Byrne and Stuart H. Orkin. Their work appears in journals such as European Journal of Biochemistry, Genomics, FEBS Letters, Archives of Virology and Nucleic Acids Research.

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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