How-Wen Ko

1.1k citations
8 papers · 632 · h-index 8

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • FOXO transcription factor regulation 2
    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related gene regulation 1
    • Cancer Cells and Metastasis 1

How-Wen Ko

8 papers receiving 625 citations

Peers

How-Wen Ko
Comparison fields: 5 of 60
  • Immunology 251
  • Cancer Research 158
  • Oncology 209
  • Pulmonary and Respiratory Medicine 118
  • Molecular Biology 258
Replace М. Р. Патышева with:
М. Р. Патышева Russia
Kevin Alicea-Torres United States
Natanya R. Kerper United States
Yaojun Peng China
Kezhuo Yu China
Junliang Ma China
Changchang Lu China
Christian Werno Germany
Brian E. Hsu Canada
Weiyu Ge China
How-Wen Ko relative to М. Р. Патышева Russia М. Р. Патышева's profile →
Citations per field
00.5×3.4×
М. Р. Патышева · 1×
Citations per year

Countries citing papers authored by How-Wen Ko

Since Specialization
Citations

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

Fields of papers citing papers by How-Wen Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by How-Wen Ko. 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 How-Wen Ko. The network helps show where How-Wen Ko may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009268
2 2013110
3 201496
4 201357
5 201139
6 201634
7 201617
8 201811

About How-Wen Ko

How-Wen Ko is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 8 papers that have together received 632 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), MicroRNA in disease regulation (1 paper), Lung Cancer Treatments and Mutations (1 paper), Cancer Cells and Metastasis (1 paper), Cancer-related gene regulation (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Immunology (251 citations), Cancer Research (158 citations), Oncology (209 citations), Pulmonary and Respiratory Medicine (118 citations) and Molecular Biology (258 citations). How-Wen Ko has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mien‐Chie Hung, Chih-Hsi Kuo, Chien-Ying Liu, Fu‐Tsai Chung, Yun-Hen Liu, Kang-Yun Lee, Chih-Liang Wang, Chun‐Hua Wang, Chih-Teng Yu and Yumin Wang. Their work appears in journals such as Clinical Cancer Research, Frontiers in Immunology, Journal of Clinical Investigation, Oncotarget and 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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