Louis P. Deiss

2.1k citations
17 papers · 1.8k indexed · 1 hit paper · h-index 14
Topics
RNA Interference and Gene Delivery (5 papers)interferon and immune responses (4 papers)Herpesvirus Infections and Treatments (4 papers)
Partner nations
United StatesIsraelItaly

In The Last Decade

Louis P. Deiss

17 papers receiving 1.8k citations

Hit Papers

Identification of a novel serine/threonine kinase and a n...19952026200520151995100200300400500

Peers

Louis P. Deiss
Comparison fields: 5 of 96
  • Molecular Biology 1.2k
  • Epidemiology 435
  • Immunology 372
  • Oncology 315
  • Cell Biology 216
Replace R Ben-Levy with:
R Ben-Levy Israel
Marc Van de Craen Belgium
Nobuo Kondoh Japan
E. Aubrey Thompson United States
Elangovan Boobalan United States
Sue Zhong United States
Akiyuki Hada Japan
Claudius Vincenz United States
Knut Martin Torgersen Norway
Katsumi Kito Japan
Louis P. Deiss relative to R Ben-Levy Israel R Ben-Levy's profile →
Citations per field
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R Ben-Levy · 1×
Citations per year

Countries citing papers authored by Louis P. Deiss

Since Specialization
Citations

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

Fields of papers citing papers by Louis P. Deiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louis P. Deiss. 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 Louis P. Deiss. The network helps show where Louis P. Deiss may publish in the future.

Co-authorship network of co-authors of Louis P. Deiss

This figure shows the co-authorship network connecting the top 25 collaborators of Louis P. Deiss. A scholar is included among the top collaborators of Louis P. Deiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Louis P. Deiss. Louis P. Deiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 4
3 29
4 4
5 66
6
A member of the GAGE family of tumor antigens is an anti-apoptotic gene that confers resistance to Fas/CD95/APO-1, Interferon-gamma, taxol and gamma-irradiation.
71
7 27
8 52
9 113
10 396
11 101
12
Identification of a novel serine/threonine kinase and a novel 15-kD protein as potential mediators of the gamma interferon-induced cell death.breakdown →
523
13 163
14 81
15 16
16 140
17 39

About Louis P. Deiss

Louis P. Deiss is a scholar working on Immunology, Biotechnology and Virology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), interferon and immune responses (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Immunology (372 citations) and Cell Biology (216 citations). Louis P. Deiss has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Adi Kimchi, Hanna Berissi, Ofer Cohen, Elena Feinstein, N Frenkeĺ, J Chou, Fruma Yehiely, Naomi Levy-Strumpf, Joseph L. Kissil and Tal Raveh. Their work appears in journals such as Science, Journal of Biological Chemistry and Genes & Development.

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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