Saravanan Yuvaraj

1.1k citations
16 papers · 807 indexed · 1 hit paper · h-index 12

Saravanan Yuvaraj

15 papers receiving 795 citations

Hit Papers

Targeting Bruton's tyrosine kinase in B cell malignancies3992014202620182022100200300

Peers

Saravanan Yuvaraj
Comparison fields: 5 of 69
  • Genetics 328
  • Immunology 293
  • Pathology and Forensic Medicine 216
  • Hematology 107
  • Oncology 155
Replace Helena Mora-Jensen with:
Helena Mora-Jensen Denmark
Ningshu Liu Germany
Francesco Paolo Tambaro United States
Hongyu Ni United States
Ilaria Marech Italy
Madlene Oelsner Germany
Shu Cheng China
Sudipta Mahajan United States
Michael A. Damore United States
Megan M. O’Meara United States
Saravanan Yuvaraj relative to Helena Mora-Jensen Denmark Helena Mora-Jensen's profile →
Citations per field
00.5×1.6×
Helena Mora-Jensen · 1×
Citations per year

Countries citing papers authored by Saravanan Yuvaraj

Since Specialization
Citations

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

Fields of papers citing papers by Saravanan Yuvaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Saravanan Yuvaraj, 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 Saravanan Yuvaraj Line = papers co-authored together Saravanan Yuvaraj links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 201413
3
Targeting Bruton's tyrosine kinase in B cell malignanciesbreakdown →
2014399
4 201442
5 201338
6
Bruton's tyrosine kinase mediated signaling enhances leukemogenesis in a mouse model for chronic lymphocytic leukemia.
201347
7 20131
8 201259
9 201211
10 201247
11 201216
12
TRAIL-induced pro- and anti-apoptotic kinase activation in Non small cell lung cancer cells
201218
13 200929
14 200861
15 20088
16 200718

About Saravanan Yuvaraj

Saravanan Yuvaraj is a scholar working on Immunology, Endocrinology and Genetics, having authored 16 papers that have together received 807 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Cell death mechanisms and regulation (4 papers), Immune Response and Inflammation (2 papers), Escherichia coli research studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), NF-κB Signaling Pathways (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Genetics (328 citations), Immunology (293 citations) and Pathology and Forensic Medicine (216 citations). Saravanan Yuvaraj has collaborated with scholars based in Netherlands, United States and Norway. Frequent co-authors include Rudi W. Hendriks, Laurens P. Kil, Maikel P. Peppelenbosch, Nicolaas A. Bos, Frank A.E. Kruyt, Godefridus J. Peters, Kaamar Azijli, Anton W. Langerak, Carmen Verı́ssima Ferreira and Steven de Jong. Their work appears in journals such as Nature reviews. Cancer, The Journal of Immunology and Journal of Cell Science.

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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