T. Navin

415 citations
6 papers · 356 · h-index 5

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Protease and Inhibitor Mechanisms

Papers in

T. Navin

6 papers receiving 352 citations

Peers

T. Navin
Comparison fields: 5 of 59
  • Immunology 177
  • Cancer Research 48
  • Internal Medicine 10
  • Immunology and Allergy 13
  • Epidemiology 54
Replace Sudipta Biswas with:
Sudipta Biswas United States
Georgios Foteinos United Kingdom
Philippe Huget Belgium
Ylenia Bevelacqua Italy
Stephanie DerOhannessian United States
Yanhong Bu China
Fong To Sweden
Sergio Alonso‐Orgaz Spain
Marie‐Anne Mawhin France
Yuzhen Wei China
T. Navin relative to Sudipta Biswas United States Sudipta Biswas's profile →
Citations per field
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Sudipta Biswas · 1×
Citations per year

Countries citing papers authored by T. Navin

Since Specialization
Citations

This map shows the geographic impact of T. Navin'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 T. Navin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Navin more than expected).

Fields of papers citing papers by T. Navin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2011147
2 2009139
3 201245
4 201020
5
TF ligation by factor VIIa induces pro-inflammatory cytokine production in atheroma smooth muscle cells
20064
6
Membrane type-1 matrix metal loproteinase is upregulated in symptomatic carotid atherosclerotic disease and along with other members of the quartenary complex regulated by pro-inflammatory cytolkines
20081

About T. Navin

T. Navin is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Surgery, having authored 6 papers that have together received 356 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (2 papers), Protease and Inhibitor Mechanisms (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Immune Response and Inflammation (2 papers), Cell Adhesion Molecules Research (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Biomarkers in Disease Mechanisms (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Immunology (177 citations), Cancer Research (48 citations), Internal Medicine (10 citations), Immunology and Allergy (13 citations) and Epidemiology (54 citations). T. Navin has collaborated with scholars based in United Kingdom, Norway and Finland. Frequent co-authors include Alun H. Davies, Claudia Monaco, Marc Feldmann, Scott M. Gregan, Brian M. J. Foxwell, Michael E. Goddard, Jennifer E. Cole, Amanda J. Cross, Lena Alexopoulou and Richard A. Flavell. Their work appears in journals such as European Heart Journal, Journal of Molecular and Cellular Cardiology, Proceedings of the National Academy of Sciences, Circulation and European Journal of Vascular and Endovascular Surgery.

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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