Catherine Han

900 citations
24 papers · 696 · h-index 12

Impact in

  • Neurology top 5%
    • CNS Lymphoma Diagnosis and Treatment
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Colorectal Cancer Treatments and Studies 7
    • Cancer Treatment and Pharmacology 6
    • Glioma Diagnosis and Treatment 4

Catherine Han

23 papers receiving 683 citations

Peers

Catherine Han
Comparison fields: 5 of 122
  • Neurology 176
  • Genetics 113
  • Pathology and Forensic Medicine 126
  • Oncology 144
  • Pulmonary and Respiratory Medicine 81
Replace Yu Feng with:
Yu Feng China
Yuta Ito Japan
Monique Courtade-Saïdi France
P. Gais Germany
Richard Curry United States
Xavier Roca Singapore
Shuguang Liu China
Takahiro Sakuma Japan
Masayoshi Yamamoto Japan
Andreas Sputtek Germany
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Citations per field
00.5×2×4×6.3×
Yu Feng · 1×
Citations per year

Countries citing papers authored by Catherine Han

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019244
2 2017136
3 200264
4 201854
5 201734
6 201730
7 201324
8 202321
9 201317
10 201615
11 201713
12 201712
13 20219
14 20107
15 20234
16 20223
17 20232
18 20122
19 20241
20 20141

About Catherine Han

Catherine Han is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Neurology, having authored 24 papers that have together received 696 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (6 papers), Glioma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Neurology (176 citations), Genetics (113 citations), Pathology and Forensic Medicine (126 citations), Oncology (144 citations) and Pulmonary and Respiratory Medicine (81 citations). Catherine Han has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Tracy T. Batchelor, Mark J. McKeage, Fabrice Mérien, Nancy N. Jong, Yan Li, Ikumi Tamai, Stephen M. F. Jamieson, Riya Biswas, Khine Nyein Myint and Takeo Nakanishi. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Patient Preference and Adherence, British Journal of Clinical Pharmacology and Journal of Lower Genital Tract Disease.

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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