Kenneth Hsu

1.7k citations
32 papers · 1.4k indexed · h-index 21

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Biomarkers in Disease Mechanisms
    • S100 Proteins and Annexins

Papers in

Kenneth Hsu

31 papers receiving 1.4k citations

Peers

Kenneth Hsu
Comparison fields: 5 of 97
  • Immunology 596
  • Molecular Biology 880
  • Microbiology 75
  • Cancer Research 181
  • Clinical Biochemistry 76
Replace Laetitia Agostini with:
Laetitia Agostini Switzerland
Jonas Byström United Kingdom
Klaus Rieneck Denmark
Debbie Beasley United States
Verónica Azcutia United States
Mark Malyak United States
Hetal Patel United Kingdom
Øystein Sandanger Norway
Jeffrey J. Sadler United States
Ênio José Bassi Brazil
Kenneth Hsu relative to Laetitia Agostini Switzerland Laetitia Agostini's profile →
Citations per field
00.5×3.2×
Laetitia Agostini · 1×
Citations per year

Countries citing papers authored by Kenneth Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20225
2 20156
3 201431
4 201311
5 201339
6 201059
7 201038
8 200953
9 200963
10 2009106
11 2009144
12 2009130
13 200895
14 200837
15 200850
16 200591
17 2004129
18 20031
19 200029
20 19984

About Kenneth Hsu

Kenneth Hsu is a scholar working on Immunology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Physiology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (17 papers), Immune Response and Inflammation (10 papers), Neonatal Respiratory Health Research (5 papers), Pancreatitis Pathology and Treatment (4 papers), Protease and Inhibitor Mechanisms (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Asthma and respiratory diseases (3 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). The work is most often cited by research in Immunology (596 citations), Molecular Biology (880 citations), Microbiology (75 citations), Cancer Research (181 citations) and Clinical Biochemistry (76 citations). Kenneth Hsu has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Carolyn L. Geczy, Yasumi Endoh, Jesse Goyette, Farid Rahimi, Su Yin Lim, Mark J. Raftery, Nicodemus Tedla, Changjie Song, Ben Freedman and Paul K. Witting. Their work appears in journals such as The Journal of Immunology, The Journal of Urology, Cytokine, Atherosclerosis and PLoS ONE.

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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