Ye Guo

4.4k citations
210 papers · 2.4k · h-index 28

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 11
    • Viral-associated cancers and disorders 10
    • Acute Myeloid Leukemia Research 20
    • Hematopoietic Stem Cell Transplantation 10

Ye Guo

187 papers receiving 2.4k citations

Peers

Ye Guo
Comparison fields: 5 of 103
  • Otorhinolaryngology 237
  • Oncology 809
  • Pathology and Forensic Medicine 351
  • Cancer Research 265
  • Hematology 201
Replace David T. Yang with:
David T. Yang United States
E. George Elias United States
E Vélez-García United States
Feng‐Hua Wang China
Steven Powell United States
Ming Zhang China
Joseph Curry United States
Seena C. Aisner United States
Wen‐Yu Chuang Taiwan
Jung Yong Hong South Korea
Ye Guo relative to David T. Yang United States David T. Yang's profile →
Citations per field
00.5×4.7×
David T. Yang · 1×
Citations per year

Countries citing papers authored by Ye Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ye Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200883
2 201481
3 202074
4 201574
5 201573
6 200968
7 201563
8 201354
9 201153
10 200950
11 200749
12 202249
13 202048
14 201945
15 201444
16 201342
17 202041
18 200738
19 201037
20 201735

About Ye Guo

Ye Guo is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 210 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Acute Lymphoblastic Leukemia research (29 papers), Head and Neck Cancer Studies (20 papers), Acute Myeloid Leukemia Research (20 papers), CAR-T cell therapy research (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Viral-associated cancers and disorders (10 papers). The work is most often cited by research in Otorhinolaryngology (237 citations), Oncology (809 citations), Pathology and Forensic Medicine (351 citations), Cancer Research (265 citations) and Hematology (201 citations). Ye Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wei Cui, Donghong Zhang, Xiaonan Hong, Xuejun Ma, Biyun Wang, Chaosu Hu, Xiaofan Zhu, Lin Kong, Jiade J. Lu and Danfei Xu. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, Therapeutic Advances in Medical Oncology and Annals of Hematology.

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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