R J North

15.7k citations
161 papers · 13.0k indexed · 5 hit papers · h-index 61
  • Immunology top 0.1%
    • Immune Response and Inflammation 37
    • Immunotherapy and Immune Responses 30
    • Immune Cell Function and Interaction 24
    • T-cell and B-cell Immunology 13
    • Tuberculosis Research and Epidemiology 36
  • Biotechnology top 0.2%
    • Listeria monocytogenes in Food Safety 12
  • Oncology top 1%
    • CAR-T cell therapy research 17
  • Epidemiology top 0.5%
    • Mycobacterium research and diagnosis 19

R J North

157 papers receiving 12.1k citations

Hit Papers

I mmunity to T uberculosis5481982202619962011250500750

Peers

R J North
Comparison fields: 5 of 157
  • Immunology 6.8k
  • Infectious Diseases 3.7k
  • Biotechnology 1.0k
  • Oncology 2.5k
  • Epidemiology 3.1k
Replace Makoto Matsumoto with:
Makoto Matsumoto Japan
Martin F. Kagnoff United States
Paul J. Godowski United States
Thomas T. MacDonald United Kingdom
Charles O. Elson United States
Yasunobu Yoshikai Japan
Marina A. Freudenberg Germany
Jonathan N. Glickman United States
Ichiro Azuma Japan
R. van Furth Netherlands
R J North relative to Makoto Matsumoto Japan Makoto Matsumoto's profile →
Citations per field
00.5×4.0×
Makoto Matsumoto · 1×
Citations per year

Countries citing papers authored by R J North

Since Specialization
Citations

This map shows the geographic impact of R J North'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 North 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 North more than expected).

Fields of papers citing papers by R J North

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside R J North, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R J North Line = papers co-authored together R J North links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010110
2 200930
3 200919
4 200682
5 2002215
6 1994302
7 19932
8 19915
9 199112
10 198995
11 19897
12 198867
13 198868
14 198685
15 198214
16 1980298
17 197786
18 1973194
19 197033
20 1970278

About R J North

R J North is a scholar working on Immunology, Biotechnology and Infectious Diseases, having authored 161 papers that have together received 13.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (37 papers), Tuberculosis Research and Epidemiology (36 papers), Immunotherapy and Immune Responses (30 papers), Immune Cell Function and Interaction (24 papers), Mycobacterium research and diagnosis (19 papers), CAR-T cell therapy research (17 papers), T-cell and B-cell Immunology (13 papers) and Listeria monocytogenes in Food Safety (12 papers). The work is most often cited by research in Immunology (6.8k citations), Infectious Diseases (3.7k citations) and Biotechnology (1.0k citations). R J North has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include J. Wayne Conlan, Yu‐Jin Jung, Pamela Dunn, Lynn Ryan, Ronald LaCourse, Michel Awwad, M J Berendt, Carl Nathan, John S. Mudgett and John D. MacMicking. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental 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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