John J. Letterio

15.8k citations
122 papers · 12.8k indexed · 4 hit papers · h-index 57
Topics
TGF-β signaling in diseases (48 papers)T-cell and B-cell Immunology (19 papers)Immune Cell Function and Interaction (17 papers)

In The Last Decade

John J. Letterio

120 papers receiving 12.5k citations

Hit Papers

REGULATION OF IMMUNE RESPONSES BY TGF-β1998202620072016199820051999201450010001.5k

Peers

John J. Letterio
Comparison fields: 5 of 139
  • Immunology 5.2k
  • Molecular Biology 5.2k
  • Oncology 3.1k
  • Cancer Research 1.1k
  • Genetics 980
Replace Sergij Goerdt with:
Sergij Goerdt Germany
William A. Kuziel United States
Cord Sunderkötter Germany
Paul J. Wolters United States
Björn E. Clausen Germany
Lionel B. Ivashkiv United States
Costantino Pitzalis United Kingdom
Sergei A. Nedospasov Russia
Liliana Schaefer Germany
Lorenzo Cosmi Italy
John J. Letterio relative to Sergij Goerdt Germany Sergij Goerdt's profile →
Citations per field
00.5×2.9×
Sergij Goerdt · 1×
Citations per year

Countries citing papers authored by John J. Letterio

Since Specialization
Citations

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

Fields of papers citing papers by John J. Letterio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Letterio. 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 John J. Letterio. The network helps show where John J. Letterio may publish in the future.

Co-authorship network of co-authors of John J. Letterio

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Letterio. A scholar is included among the top collaborators of John J. Letterio 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 John J. Letterio. John J. Letterio 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 1
2 7
3 29
4 86
5 113
6 27
7 77
8 16
9 8
10 439
11 65
12 278
13 28
14 12
15 65
16 10
17 91
18 25
19 74
20 88

About John J. Letterio

John J. Letterio is a scholar working on Immunology and Allergy, Immunology and Oncology, having authored 122 papers that have together received 12.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (48 papers), T-cell and B-cell Immunology (19 papers) and Immune Cell Function and Interaction (17 papers). The work is most often cited by research in Immunology (5.2k citations), Immunology and Allergy (733 citations) and Oncology (3.1k citations). John J. Letterio has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Anita B. Roberts, Marc A. Gavin, Alexander Y. Rudensky, Julien C. Marie, Mizuko Mamura, Andrew G. Geiser, Michael B. Sporn, Lalage M. Wakefield, Ashok B. Kulkarni and Teresa A. Borkowski. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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