Peter Ebert

9.2k citations
30 papers · 2.9k indexed · 2 hit papers · h-index 20
Topics
T-cell and B-cell Immunology (11 papers)Immune Cell Function and Interaction (10 papers)Genomics and Phylogenetic Studies (10 papers)

In The Last Decade

Peter Ebert

29 papers receiving 2.9k citations

Hit Papers

miR-181a Is an Intrinsic Modulator of T Cell Sensitivity ...200720262013201920072016250500750

Peers

Peter Ebert
Comparison fields: 5 of 109
  • Molecular Biology 1.4k
  • Immunology 1.4k
  • Cancer Research 822
  • Oncology 705
  • Genetics 250
Replace Ferenc A. Scheeren with:
Ferenc A. Scheeren Netherlands
Vladimir Bezrookove United States
S Gerondakis Australia
George Blanck United States
Robert A. Amezquita United States
Heinz Jacobs Netherlands
Branden S. Moriarity United States
Maria Ciofani United States
Peter Ping Lin United States
Peter Ebert relative to Ferenc A. Scheeren Netherlands Ferenc A. Scheeren's profile →
Citations per field
00.5×1.5×1.8×
Ferenc A. Scheeren · 1×
Citations per year

Countries citing papers authored by Peter Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ebert. A scholar is included among the top collaborators of Peter Ebert 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 Peter Ebert. Peter Ebert 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 2
2 23
3 14
4 1
5 110
6 0
7 6
8 4
9 25
10 17
11 59
12 21
13 172
14
MAP Kinase Inhibition Promotes T Cell and Anti-tumor Activity in Combination with PD-L1 Checkpoint Blockadebreakdown →
527
15 213
16 19
17 40
18
miR-181a Is an Intrinsic Modulator of T Cell Sensitivity and Selectionbreakdown →
973
19 116
20 49

About Peter Ebert

Peter Ebert is a scholar working on Immunology, Molecular Biology and Genetics, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Immunology (1.4k citations), Cancer Research (822 citations) and Oncology (705 citations). Peter Ebert has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mark M. Davis, Hyeyoung Min, Ravi Braich, Chang‐Zheng Chen, Muthiah Manoharan, Lawrence O. Klein, Qi-Jing Li, Jianming Xie, Matthew F. Krummel and Erin McNamara. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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