Fong To

427 citations
13 papers · 320 · h-index 10

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Atherosclerosis and Cardiovascular Diseases
    • IL-33, ST2, and ILC Pathways

Papers in

    • Atherosclerosis and Cardiovascular Diseases 10
    • IL-33, ST2, and ILC Pathways 3
    • Lipoproteins and Cardiovascular Health 2

Fong To

13 papers receiving 317 citations

Peers

Fong To
Comparison fields: 5 of 62
  • Nephrology 55
  • Immunology 143
  • Immunology and Allergy 32
  • Clinical Biochemistry 28
  • Cancer Research 47
Replace Raquel Roldán-Montero with:
Raquel Roldán-Montero Spain
Xuexian Yan Singapore
Jun Zou China
Maziar Riazy Canada
Rémi Piedagnel France
Yuexin Zhu China
Sumihiko Hagita Japan
J. Egido Spain
Brigith Willemsen Netherlands
Fong To relative to Raquel Roldán-Montero Spain Raquel Roldán-Montero's profile →
Citations per field
00.5×10×
Raquel Roldán-Montero · 1×
Citations per year

Countries citing papers authored by Fong To

Since Specialization
Citations

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

Fields of papers citing papers by Fong To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200579
2 201545
3 201334
4 201133
5 200530
6 201024
7 201219
8 201515
9 201813
10 202012
11 20087
12 20247
13 20212

About Fong To

Fong To is a scholar working on Immunology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Immunology and Allergy, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (10 papers), IL-33, ST2, and ILC Pathways (3 papers), Cell Adhesion Molecules Research (3 papers), Protease and Inhibitor Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Nephrology (55 citations), Immunology (143 citations), Immunology and Allergy (32 citations), Clinical Biochemistry (28 citations) and Cancer Research (47 citations). Fong To has collaborated with scholars based in Sweden, Netherlands and Germany. Frequent co-authors include Eva Bengtsson, Jan Nilsson, Pontus Dunér, Anders Grubb, Katarina Håkansson, Stefan Jovinge, Gunilla Nordin Fredrikson, Harry Björkbacka, Lena Brånén and Ragnar Alm. Their work appears in journals such as Atherosclerosis, Cardiovascular Diabetology, Cardiovascular Research, PLoS ONE and Journal of Vascular Research.

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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