Arnold Kas

16 papers receiving 6.5k citations

Arnold Kas's Hit Papers

CD4 + Regulatory T Cells Control T H 17 Responses in a Stat3-Dependent Manner 2009 · 855 citations
8550+8+17Years since publication1k2k3k

Peers

Arnold Kas
Comparison fields: 5 of 126
  • Immunology 1.9k
  • Molecular Medicine 510
  • Endocrinology 268
  • Genetics 1.3k
  • Molecular Biology 2.4k
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Bo Peng China
Donald G. Guiney United States
Sabine Ehrt United States
David H. Spencer United States
Christopher M. Sassetti United States
A Labigne-Roussel France
Mark J. Hickey United States
Gee W. Lau United States
Herbert L. Heyneker United States
Qin Liu China
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Citations per year

Countries citing papers authored by Arnold Kas

Since Specialization
Citations

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

Fields of papers citing papers by Arnold Kas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen
Hit paper breakdown →
20003772
2
CD4 + Regulatory T Cells Control T H 17 Responses in a Stat3-Dependent Manner
Hit paper breakdown →
2009855
3
Regulatory T-cell suppressor program co-opts transcription factor IRF4 to control TH2 responses
Hit paper breakdown →
2009803
4 2007710
5 2003169
6 2002127
7 200386
8 201340
9 201136
10 201024
11 201224
12 201613
13 20167
14 20167
15 20042
16 20122

About Arnold Kas

Arnold Kas is a scholar working on Immunology, Endocrinology, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 6.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (4 papers), T-cell and B-cell Immunology (4 papers), Genomics and Phylogenetic Studies (4 papers), Malaria Research and Control (3 papers), Single-cell and spatial transcriptomics (2 papers), vaccines and immunoinformatics approaches (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (1.9k citations), Molecular Medicine (510 citations), Endocrinology (268 citations), Genetics (1.3k citations) and Molecular Biology (2.4k citations). Arnold Kas has collaborated with scholars based in United States, Slovenia and Australia. Frequent co-authors include Alexander Yu Rudensky, Ashutosh Chaudhry, Piper M. Treuting, Ye Zheng, Robert M. Samstein, Yuqiong Liang, Dipayan Rudra, Marc A. Gavin, Steven Zvi Josefowicz and Ulf Klein. Their work appears in journals such as Nature, PLoS ONE, Journal of Bacteriology, IEEE Transactions on Computational Biology and Bioinformatics and Nature Methods.

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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