J. Hsu

1.4k citations
8 papers · 1.1k · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
    • Bioinformatics and Genomic Networks
    • Cancer-related gene regulation
    • Gene expression and cancer classification
    • Epigenetics and DNA Methylation
    • TGF-β signaling in diseases
    • Genomics, phytochemicals, and oxidative stress

Papers in

    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related Molecular Pathways 2
    • Pancreatic and Hepatic Oncology Research 1

J. Hsu

8 papers receiving 1.1k citations

Peers

J. Hsu
Comparison fields: 5 of 104
  • Cancer Research 267
  • Molecular Biology 708
  • Toxicology 32
  • Oncology 180
  • Health Informatics 6
Replace Martina L. Skrede with:
Martina L. Skrede Norway
Hayley C. Whitaker United Kingdom
Holger Hess‐Stumpp Germany
Clark M. Whitehead United States
John S. Yordy United States
Lynn McGarry United Kingdom
Mona L. Gauthier United States
Jaya Sangodkar United States
Melanie Bocanegra United States
Alessandra Bisio Italy
J. Hsu relative to Martina L. Skrede Norway Martina L. Skrede's profile →
Citations per field
00.5×1.5×2.5×
Martina L. Skrede · 1×
Citations per year

Countries citing papers authored by J. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by J. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. 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 J. Hsu Line = papers co-authored together J. Hsu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011454
2 1994327
3 200979
4 201166
5 200561
6 200642
7 200532
8 199832

About J. Hsu

J. Hsu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Estrogen and related hormone effects (1 paper), Prostate Cancer Treatment and Research (1 paper), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (267 citations), Molecular Biology (708 citations), Toxicology (32 citations), Oncology (180 citations) and Health Informatics (6 citations). J. Hsu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Anna Lasorella, Mark A. Israel, Antonio Iavarone, Pankaj Garg, A. Cros, Jian Zhang, A. Kasprzyk, Yong Liang, Jonathan M. Guberman and Joachim Baran. Their work appears in journals such as Database, Carcinogenesis, International Journal of Cancer, Development Genes and Evolution and Genes & Development.

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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