Hyo S. Han

5.0k citations
146 papers · 2.5k indexed · 1 hit paper · h-index 28

Impact in

    • Tryptophan and brain disorders
  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research

Papers in

    • HER2/EGFR in Cancer Research 36
    • Cancer Treatment and Pharmacology 29
    • Cancer Immunotherapy and Biomarkers 18
    • Lung Cancer Research Studies 17
    • PARP inhibition in cancer therapy 16

Hyo S. Han

134 papers receiving 2.4k citations

Hit Papers

Targeting the PI3K/AKT/mTOR pathway in triple-negative breast cancer: a review 2018 · 337 citations
3372018202620202023100200300

Peers

Hyo S. Han
Comparison fields: 5 of 102
  • Biological Psychiatry 205
  • Oncology 1.4k
  • Pulmonary and Respiratory Medicine 810
  • Cancer Research 339
  • Genetics 218
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Hyo S. Han relative to Lance Leopold United States Lance Leopold's profile →
Citations per field
00.5×2.7×
Lance Leopold · 1×
Citations per year

Countries citing papers authored by Hyo S. Han

Since Specialization
Citations

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

Fields of papers citing papers by Hyo S. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo S. Han. 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 Hyo S. Han. The network helps show where Hyo S. Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20242
5 20231
6 202350
7 202312
8 20239
9 20231
10 202128
11 202113
12 202126
13 202011
14 20202
15 202016
16 20208
17 201914
18 201750
19 201616
20 201315

About Hyo S. Han

Hyo S. Han is a scholar working on Oncology, Biological Psychiatry, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 146 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (48 papers), HER2/EGFR in Cancer Research (36 papers), Cancer Treatment and Pharmacology (29 papers), Brain Metastases and Treatment (22 papers), Cancer Immunotherapy and Biomarkers (18 papers), Lung Cancer Research Studies (17 papers), PARP inhibition in cancer therapy (16 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). The work is most often cited by research in Biological Psychiatry (205 citations), Oncology (1.4k citations), Pulmonary and Respiratory Medicine (810 citations), Cancer Research (339 citations) and Genetics (218 citations). Hyo S. Han has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ricardo Costa, William J. Gradishar, Hatem Soliman, Roohi Ismail‐Khan, Daniel M. Sullivan, Scott Antonia, Brian J. Czerniecki, Nicholas N. Vahanian, Maricer P. Escalón and Izidore S. Lossos. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Breast Cancer Research and Treatment, Annals of Oncology and Clinical Cancer 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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