Ya‐Chien Yang

903 citations
52 papers · 650 indexed · h-index 15

Impact in

Papers in

Ya‐Chien Yang

51 papers receiving 635 citations

Peers

Ya‐Chien Yang
Comparison fields: 5 of 87
  • Molecular Medicine 38
  • Cancer Research 102
  • Hematology 73
  • Immunology 133
  • Agronomy and Crop Science 56
Replace Masahiro Nobuhara with:
Masahiro Nobuhara Japan
Steve McClellan United States
Éva Pócsik Hungary
Kusuki Nishioka Japan
Tatyana A. Holzmayer United States
Anita Bringmann Germany
Fuminori Hirano Japan
Julia Zinngrebe Germany
Jörg H. Leupold Germany
Hirokazu Hirata Japan
Ya‐Chien Yang relative to Masahiro Nobuhara Japan Masahiro Nobuhara's profile →
Citations per field
00.5×10×20×30×43×
Masahiro Nobuhara · 1×
Citations per year

Countries citing papers authored by Ya‐Chien Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Chien Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Chien Yang. 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 Ya‐Chien Yang. The network helps show where Ya‐Chien Yang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202016
3 20205
4 20155
5 20156
6 201520
7 201433
8 20139
9 201324
10 200931
11 20048
12 200429
13 20035
14 200339
15 200217
16 200121
17
Familial transmission of human T-lymphocyte virus type (HTLV-1) in patients with adult T-cell leukemia/lymphoma or HTLV-1-associated myelopathy
19981
18 199610
19 19962
20 19937

About Ya‐Chien Yang

Ya‐Chien Yang is a scholar working on Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics, Pathology and Forensic Medicine and Hematology, having authored 52 papers that have together received 650 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (10 papers), Vector-Borne Animal Diseases (10 papers), DNA Repair Mechanisms (9 papers), Genetic factors in colorectal cancer (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Immune Cell Function and Interaction (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Medicine (38 citations), Cancer Research (102 citations), Hematology (73 citations), Immunology (133 citations) and Agronomy and Crop Science (56 citations). Ya‐Chien Yang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Sung‐Liang Yu, Sih‐Shiang Huang, F N Ko, Chun‐Chieh Chen, Woei-horng Fang, Tzu‐Ming Jao, Jen-Kou Lin, Shih‐Ching Chang, Anna Fen–Yau Li and Jen‐Yi Lee. Their work appears in journals such as DNA repair, Annals of Surgical Oncology, Archives of Virology, Journal of Visualized Experiments and Hepatology.

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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