T Maniatis

6.5k citations
20 papers · 5.7k indexed · 3 hit papers · h-index 20
Topics
RNA Research and Splicing (9 papers)RNA and protein synthesis mechanisms (6 papers)interferon and immune responses (3 papers)
Partner nations
United States

In The Last Decade

T Maniatis

20 papers receiving 5.6k citations

Hit Papers

The ubiquitinproteasome pathway is required for processin...199420262004201519942001199750010001.5k

Peers

T Maniatis
Comparison fields: 5 of 121
  • Molecular Biology 3.7k
  • Immunology 2.0k
  • Cancer Research 1.6k
  • Oncology 986
  • Genetics 520
Replace Rolf-Peter Ryseck with:
Rolf-Peter Ryseck United States
Jürg Tschopp Switzerland
Kenneth B. Marcu United States
Steven C. Ley United Kingdom
Claudio Schneider Italy
Ralph C. Budd United States
Astar Winoto United States
Émmanuelle Nicolas United States
Jean-Luc Bodmer Switzerland
Irit Alkalay Israel
T Maniatis relative to Rolf-Peter Ryseck United States Rolf-Peter Ryseck's profile →
Citations per field
00.5×1.5×
Rolf-Peter Ryseck · 1×
Citations per year

Countries citing papers authored by T Maniatis

Since Specialization
Citations

This map shows the geographic impact of T Maniatis'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 T Maniatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Maniatis more than expected).

Fields of papers citing papers by T Maniatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Maniatis

This figure shows the co-authorship network connecting the top 25 collaborators of T Maniatis. A scholar is included among the top collaborators of T Maniatis 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 T Maniatis. T Maniatis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
NF-κB signaling pathways in mammalian and insect innate immunitybreakdown →
757
2 114
3
Activation of the IκBα Kinase Complex by MEKK1, a Kinase of the JNK Pathwaybreakdown →
653
4 132
5 301
6 83
7 131
8
The ubiquitinproteasome pathway is required for processing the NF-κB1 precursor protein and the activation of NF-κBbreakdown →
1873
9 201
10 75
11 113
12 170
13 213
14 217
15 223
16 100
17 97
18 69
19 62
20 147

About T Maniatis

T Maniatis is a scholar working on Immunology, Molecular Biology and Cancer Research, having authored 20 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Immunology (2.0k citations) and Molecular Biology (3.7k citations). T Maniatis has collaborated with scholars based in United States. Frequent co-authors include Vito J. Palombella, Alfred L. Goldberg, Oliver J. Rando, Neal Silverman, Frank S. Lee, Jeremiah Hagler, Zhijian J. Chen, Anne E. Goldfeld, Xudong Fu and Paul M. Macdonald. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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