James Yu

400 citations
27 papers · 261 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Colorectal Cancer Treatments and Studies 3
    • Fibroblast Growth Factor Research 3

James Yu

23 papers receiving 256 citations

Peers

James Yu
Comparison fields: 5 of 58
  • Oncology 101
  • Hepatology 20
  • Pathology and Forensic Medicine 39
  • Cancer Research 22
  • Microbiology 1
Replace Javier Torres-Jiménez with:
Javier Torres-Jiménez Spain
Matilda Lee Singapore
Takahiko Akiyama Japan
Wan-Lun Hsu Taiwan
Ching-Yun Hsieh Taiwan
Angélique Vienot France
Min Hee Ryu South Korea
L F Sheu Taiwan
Nicola Susca Italy
Samantha Armstrong United States
James Yu relative to Javier Torres-Jiménez Spain Javier Torres-Jiménez's profile →
Citations per field
00.5×
Javier Torres-Jiménez · 1×
Citations per year

Countries citing papers authored by James Yu

Since Specialization
Citations

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

Fields of papers citing papers by James Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 202241
3 202128
4 202024
5 202124
6 202214
7 202113
8 202311
9 202110
10 20257
11 20246
12 20256
13 20216
14 20215
15 20214
16 20243
17 20203
18 20253
19 20213
20 20203

About James Yu

James Yu is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 27 papers that have together received 261 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Acute Myeloid Leukemia Research (4 papers), Fibroblast Growth Factor Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (101 citations), Hepatology (20 citations), Pathology and Forensic Medicine (39 citations), Cancer Research (22 citations) and Microbiology (1 citation). James Yu has collaborated with scholars based in United States. Frequent co-authors include Richard D. Kim, Amit Mahipal, Anuhya Kommalapati, Sri Harsha Tella, Luis A. Díaz, Kristen K. Ciombor, İbrahim Halil Şahin, Elaine Tan, Dae Won Kim and Juan Carlos Varela. Their work appears in journals such as Cancers, Transplantation and Cellular Therapy, Critical Reviews in Oncology/Hematology, Biomedicines and Blood.

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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