Yan V. Wang

1.4k total citations · 1 hit paper
8 papers, 878 citations indexed

About

Yan V. Wang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Yan V. Wang has authored 8 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in Yan V. Wang's work include Renal cell carcinoma treatment (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Phagocytosis and Immune Regulation (2 papers). Yan V. Wang is often cited by papers focused on Renal cell carcinoma treatment (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Phagocytosis and Immune Regulation (2 papers). Yan V. Wang collaborates with scholars based in United States, Germany and France. Yan V. Wang's co-authors include Amreen Husain, Barbara A. Goff, Lawrence R. Nycum, Carol Aghajanian, Stephanie V. Blank, Omid Hamid, Priti S. Hegde, John D. Powderly, Marcella Fassò and Jeffrey A. Sosman and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Allergy and Clinical Immunology and Gynecologic Oncology.

In The Last Decade

Yan V. Wang

8 papers receiving 862 citations

Hit Papers

Atezolizumab, an Anti–Programmed Death-Ligand 1 Antibody,... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yan V. Wang United States 7 527 276 258 201 165 8 878
Min Sung An South Korea 12 155 0.3× 133 0.5× 176 0.7× 217 1.1× 145 0.9× 42 705
Michael A. Ströhlein Germany 16 497 0.9× 169 0.6× 212 0.8× 220 1.1× 570 3.5× 24 1.1k
Katarína Macháleková Slovakia 15 264 0.5× 174 0.6× 88 0.3× 96 0.5× 283 1.7× 47 684
Peter Lim Canada 16 316 0.6× 145 0.5× 95 0.4× 806 4.0× 117 0.7× 32 1.5k
W. Schröder Germany 18 274 0.5× 163 0.6× 201 0.8× 576 2.9× 356 2.2× 57 1.3k
Anna Pesci Italy 17 302 0.6× 244 0.9× 49 0.2× 320 1.6× 362 2.2× 42 1.3k
AA Bartolucci United States 12 242 0.5× 166 0.6× 188 0.7× 57 0.3× 222 1.3× 20 861
Taymaa May Canada 17 259 0.5× 96 0.3× 80 0.3× 662 3.3× 317 1.9× 94 1.1k
Laura Ardighieri Italy 16 181 0.3× 80 0.3× 106 0.4× 200 1.0× 137 0.8× 43 616
Emanuela Veras United States 14 228 0.4× 173 0.6× 145 0.6× 552 2.7× 153 0.9× 25 1.2k

Countries citing papers authored by Yan V. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yan V. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan V. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan V. Wang. A scholar is included among the top collaborators of Yan V. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan V. Wang. Yan V. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Fisher, George A., Nehal J. Lakhani, Cathy Eng, et al.. (2020). A phase Ib/II study of the anti-CD47 antibody magrolimab with cetuximab in solid tumor and colorectal cancer patients.. Journal of Clinical Oncology. 38(4_suppl). 114–114. 41 indexed citations
2.
Lakhani, Nehal J., Amita Patnaik, John B. Liao, et al.. (2020). A phase Ib study of the anti-CD47 antibody magrolimab with the PD-L1 inhibitor avelumab (A) in solid tumor (ST) and ovarian cancer (OC) patients.. Journal of Clinical Oncology. 38(5_suppl). 18–18. 30 indexed citations
3.
McDermott, David F., Jeffrey A. Sosman, Mario Sznol, et al.. (2016). Atezolizumab, an Anti–Programmed Death-Ligand 1 Antibody, in Metastatic Renal Cell Carcinoma: Long-Term Safety, Clinical Activity, and Immune Correlates From a Phase Ia Study. Journal of Clinical Oncology. 34(8). 833–842. 409 indexed citations breakdown →
4.
Aghajanian, Carol, Barbara A. Goff, Lawrence R. Nycum, et al.. (2015). Final overall survival and safety analysis of OCEANS, a phase 3 trial of chemotherapy with or without bevacizumab in patients with platinum-sensitive recurrent ovarian cancer. Gynecologic Oncology. 139(1). 10–16. 222 indexed citations
5.
Namazy, Jennifer A., Michael D. Cabana, Angela E. Scheuerle, et al.. (2014). The Xolair Pregnancy Registry (EXPECT): The safety of omalizumab use during pregnancy. Journal of Allergy and Clinical Immunology. 135(2). 407–412. 149 indexed citations
6.
Aghajanian, Carol, Barbara A. Goff, Lawrence R. Nycum, et al.. (2014). Independent radiologic review: Bevacizumab in combination with gemcitabine and carboplatin in recurrent ovarian cancer. Gynecologic Oncology. 133(1). 105–110. 18 indexed citations
7.
Husain, Amreen, Yan V. Wang, Rikke Frederiksen, et al.. (2014). Independent radiologic review of AURELIA, a phase 3 trial of bevacizumab (BV) plus chemotherapy (CT) for platinum (PT)-resistant recurrent ovarian cancer (OC).. Journal of Clinical Oncology. 32(15_suppl). 5540–5540. 2 indexed citations

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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