How-Wen Ko

1.1k citations
7 papers · 572 · h-index 7

Impact in

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

Papers in

    • FOXO transcription factor regulation 2
    • Metabolism, Diabetes, and Cancer 1
    • Cancer Cells and Metastasis 2

How-Wen Ko

7 papers receiving 565 citations

Peers

How-Wen Ko
Comparison fields: 5 of 59
  • Immunology 255
  • Cancer Research 175
  • Oncology 220
  • Molecular Biology 253
  • Pulmonary and Respiratory Medicine 120
Replace Kevin Alicea-Torres with:
Kevin Alicea-Torres United States
Olympia Papantonopoulou Germany
Luo-Jiao Liang China
Adam B. Sendor United States
I‐Ying Kuo Taiwan
Krzystoff Reiss United States
Haley L. Peters United States
Katelyn L. Donahue United States
Arnaud Pommier France
Sara Jansson Sweden
How-Wen Ko relative to Kevin Alicea-Torres United States Kevin Alicea-Torres's profile →
Citations per field
00.5×10×15×
Kevin Alicea-Torres · 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

7 of 7 papers shown
#Work
1 2009267
2 2013110
3 201495
4 201139
5 201634
6 201617
7 201810

About How-Wen Ko

How-Wen Ko is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 7 papers that have together received 572 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (2 papers), Cancer Cells and Metastasis (2 papers), Pancreatic function and diabetes (1 paper), MicroRNA in disease regulation (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Immune Response and Inflammation (1 paper), Pneumonia and Respiratory Infections (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Immunology (255 citations), Cancer Research (175 citations), Oncology (220 citations), Molecular Biology (253 citations) and Pulmonary and Respiratory Medicine (120 citations). How-Wen Ko has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Mien‐Chie Hung, Chien-Ying Liu, Yun-Hen Liu, Yi‐Cheng Wu, Yumin Wang, Po‐Hao Feng, Shu‐Min Lin, Chih-Teng Yu, Yen Chu and Chun‐Hua Wang. Their work appears in journals such as Frontiers in Immunology, Clinical Cancer Research, 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.

Explore authors with similar magnitude of impact