Rajesh Jayachandran

1.3k citations
20 papers · 909 indexed · h-index 11
Topics
Tuberculosis Research and Epidemiology (5 papers)T-cell and B-cell Immunology (5 papers)Mycobacterium research and diagnosis (4 papers)
Partner nations
SwitzerlandIndiaFrance

In The Last Decade

Rajesh Jayachandran

20 papers receiving 899 citations

Peers

Rajesh Jayachandran
Comparison fields: 5 of 92
  • Molecular Biology 419
  • Immunology 311
  • Infectious Diseases 222
  • Epidemiology 175
  • Cell Biology 95
Replace Edith Elliott with:
Edith Elliott South Africa
Pascale Duplay Canada
Mietske Wijers Netherlands
Laura F. Dagley Australia
Nicholas Flint Switzerland
Jenson Lim United Kingdom
Andrea Jahraus Germany
Sascha Pust Norway
Rachid Marhaba Germany
Joel Machado Brazil
Rajesh Jayachandran relative to Edith Elliott South Africa Edith Elliott's profile →
Citations per field
00.5×4.4×
Edith Elliott · 1×
Citations per year

Countries citing papers authored by Rajesh Jayachandran

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Jayachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Jayachandran

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Jayachandran. A scholar is included among the top collaborators of Rajesh Jayachandran 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 Rajesh Jayachandran. Rajesh Jayachandran 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 2
4 3
5 12
6 7
7 158
8 64
9 11
10 21
11 4
12 6
13 130
14 48
15 242
16 132
17 23
18
Mechanism of the immunomodulatory activity of glycodelin.
8
19 23
20
Anthrax: Biology of Bacillus anthracis
7

About Rajesh Jayachandran

Rajesh Jayachandran is a scholar working on Immunology, Toxicology and Infectious Diseases, having authored 20 papers that have together received 909 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), T-cell and B-cell Immunology (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Immunology (311 citations), Infectious Diseases (222 citations) and Immunology and Allergy (70 citations). Rajesh Jayachandran has collaborated with scholars based in Switzerland, India and France. Frequent co-authors include Jean Pieters, Philipp Mueller, Imke Albrecht, Benoît Combaluzier, Philipp Müller, Hannelie Korf, Toru Miyazaki, Varadharajan Sundaramurthy, Kris Huygen and Nicole Scherr. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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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