R J Noelle

3.4k citations
14 papers · 2.8k indexed · 2 hit papers · h-index 13
Topics
T-cell and B-cell Immunology (7 papers)Immune Cell Function and Interaction (7 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

R J Noelle

14 papers receiving 2.7k citations

Hit Papers

A 39-kDa protein on activated helper T cells binds CD40 a...199220262003201419921993200400600

Peers

R J Noelle
Comparison fields: 5 of 84
  • Immunology 2.3k
  • Molecular Biology 363
  • Radiology, Nuclear Medicine and Imaging 268
  • Oncology 267
  • Genetics 250
Replace G J Freeman with:
G J Freeman United States
Emanuela Castigli United States
Brian M. Macduff Canada
Christiane Werner‐Favre Switzerland
Terri Davis‐Smith Canada
A G Rolink Switzerland
L Strockbine United States
Loren D. Erickson United States
Claude Mawas France
Teresa W. Tough Canada
R J Noelle relative to G J Freeman United States G J Freeman's profile →
Citations per field
00.5×1.5×
G J Freeman · 1×
Citations per year

Countries citing papers authored by R J Noelle

Since Specialization
Citations

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

Fields of papers citing papers by R J Noelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R J Noelle

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 52
2 358
3 307
4 163
5 3
6 19
7 183
8
The CD40 ligand, gp39, is defective in activated T cells from patients with X-linked hyper-IgM syndromebreakdown →
663
9 12
10 171
11 29
12
A 39-kDa protein on activated helper T cells binds CD40 and transduces the signal for cognate activation of B cells.breakdown →
698
13 116
14 29

About R J Noelle

R J Noelle is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (2.3k citations), Immunology and Allergy (248 citations) and Hematology (203 citations). R J Noelle has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Alejandro Aruffo, Teresa M. Foy, David M. Shepherd, J A Ledbetter, Michael Roy, Ivan Stamenkovic, J A Ledbetter, E Claassen, Fiona H. Durie and Shigeaki Nonoyama. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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