Changyu Wang

6.5k citations
79 papers · 4.9k indexed · 2 hit papers · h-index 24

Changyu Wang

76 papers receiving 4.8k citations

Hit Papers

In Vitro Characterization of the Anti-PD-1 Antibody Nivol...472201020262015202050010001.5k2.0k

Peers

Changyu Wang
Comparison fields: 5 of 117
  • Oncology 3.1k
  • Immunology 1.9k
  • Pulmonary and Respiratory Medicine 845
  • Cancer Research 383
  • Obstetrics and Gynecology 182
Replace Leah Haworth with:
Leah Haworth United States
Marianna Nuti Italy
Paulette Mhawech‐Fauceglia United States
María E. Rodríguez-Ruiz Spain
Yutaka Suehiro Japan
Suguru Yonezawa Japan
Hua Liang China
Eric Angevin France
Daniela Bruni France
Nikolai N. Khodarev United States
Changyu Wang relative to Leah Haworth United States Leah Haworth's profile →
Citations per field
00.5×1.5×2.3×
Leah Haworth · 1×
Citations per year

Countries citing papers authored by Changyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20242
4 20241
5 20241
6 202317
7 202321
8 202331
9 20233
10
In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primatesbreakdown →
2014472
11 201345
12 201214
13 201215
14 201233
15 201015
16 20103
17 2009153
18 200740
19 20042
20 199611

About Changyu Wang

Changyu Wang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Immunology and Oncology, having authored 79 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (18 papers), Endometrial and Cervical Cancer Treatments (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Immune Cell Function and Interaction (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Oncology (3.1k citations), Immunology (1.9k citations), Pulmonary and Respiratory Medicine (845 citations), Cancer Research (383 citations) and Obstetrics and Gynecology (182 citations). Changyu Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Alan J. Korman, Mark Selby, Lieping Chen, John D. Powderly, Elizabeth Stankevich, Julie R. Brahmer, Theresa M. Salay, Marta M. Gilson, Charles G. Drake and Janis M. Taube. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Agronomy, Oncotarget and International Journal of Molecular Sciences.

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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