Yihuan Xu

1.4k total citations
20 papers, 1.1k citations indexed

About

Yihuan Xu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Yihuan Xu has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Yihuan Xu's work include Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). Yihuan Xu is often cited by papers focused on Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). Yihuan Xu collaborates with scholars based in United States, United Kingdom and Japan. Yihuan Xu's co-authors include Peter A. McCue, Kristin L. Brill, Pauline K. Park, Gloria J. Morris, Anne Rosenberg, Allan Topham, Edith P. Mitchell, Gordon F. Schwartz, Jonathan D. Schwartz and Rebecca R. Hozak and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Yihuan Xu

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yihuan Xu United States 11 559 360 331 249 236 20 1.1k
Maria Pia Morelli United States 19 863 1.5× 350 1.0× 449 1.4× 272 1.1× 355 1.5× 70 1.3k
Manish Gala United States 15 405 0.7× 316 0.9× 457 1.4× 235 0.9× 140 0.6× 32 1.1k
Emanuele Valtorta Italy 16 661 1.2× 357 1.0× 531 1.6× 258 1.0× 331 1.4× 40 1.2k
Anne Trinh United States 13 882 1.6× 483 1.3× 563 1.7× 485 1.9× 220 0.9× 27 1.4k
Byung Woog Kang South Korea 19 508 0.9× 347 1.0× 468 1.4× 239 1.0× 198 0.8× 77 1.2k
Teresa Di Desidero Italy 24 542 1.0× 200 0.6× 421 1.3× 91 0.4× 253 1.1× 52 1.1k
Giorgia Migliardi Italy 18 719 1.3× 277 0.8× 515 1.6× 180 0.7× 352 1.5× 28 1.3k
Frédérique Penault‐Llorca France 7 821 1.5× 242 0.7× 327 1.0× 359 1.4× 370 1.6× 14 1.1k
Cristina Santos Spain 20 1.1k 2.0× 312 0.9× 479 1.4× 375 1.5× 284 1.2× 51 1.7k
Sandra Zazo Spain 19 564 1.0× 383 1.1× 860 2.6× 125 0.5× 161 0.7× 58 1.3k

Countries citing papers authored by Yihuan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yihuan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihuan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yihuan Xu. A scholar is included among the top collaborators of Yihuan Xu 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 Yihuan Xu. Yihuan Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lu, Jialin, et al.. (2024). CAR Macrophages: a promising novel immunotherapy for solid tumors and beyond. Biomarker Research. 12(1). 86–86. 34 indexed citations
3.
Álvarez, Enrique, Lawrence Steinman, Edward Fox, et al.. (2024). Improvements in no evidence of disease activity with ublituximab vs. teriflunomide in the ULTIMATE phase 3 studies in relapsing multiple sclerosis. Frontiers in Neurology. 15. 1473284–1473284. 1 indexed citations
4.
Steinman, Lawrence, Edward Fox, Hans‐Peter Hartung, et al.. (2022). Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis. New England Journal of Medicine. 387(8). 704–714. 111 indexed citations
6.
Zhu, Andrew X., Peter R. Galle, Masatoshi Kudo, et al.. (2018). A study of ramucirumab (LY3009806) versus placebo in patients with hepatocellular carcinoma and elevated baseline alpha-fetoprotein (REACH-2).. Journal of Clinical Oncology. 36(4_suppl). TPS538–TPS538. 25 indexed citations
7.
Masuda, Norikazu, Hiroji Iwata, Kenjiro Aogi, et al.. (2016). Safety and pharmacokinetics of ramucirumab in combination with docetaxel in Japanese patients with locally advanced or metastatic breast cancer: a Phase Ib study. Japanese Journal of Clinical Oncology. 46(12). 1088–1094. 6 indexed citations
9.
Xu, Yihuan & Boris Iglewicz. (2015). False Discovery Versus Familywise Error Rate Approaches to Outlier Detection. Statistics in Biopharmaceutical Research. 8(2). 143–150. 1 indexed citations
11.
Yoon, Harry H., Johanna C. Bendell, Fadi S. Braiteh, et al.. (2014). Ramucirumab (RAM) plus FOLFOX as front-line therapy (Rx) for advanced gastric or esophageal adenocarcinoma (GE-AC): Randomized, double-blind, multicenter phase 2 trial.. Journal of Clinical Oncology. 32(15_suppl). 4004–4004. 64 indexed citations
12.
Xu, Yihuan, Boris Iglewicz, & Inna Chervoneva. (2014). Robust estimation of the parameters of -and- distributions, with applications to outlier detection. Computational Statistics & Data Analysis. 75. 66–80. 11 indexed citations
13.
García, Jorge A., Gary R. Hudes, Toni K. Choueiri, et al.. (2014). A phase 2, single‐arm study of ramucirumab in patients with metastatic renal cell carcinoma with disease progression on or intolerance to tyrosine kinase inhibitor therapy. Cancer. 120(11). 1647–1655. 26 indexed citations
14.
Penson, Richard T., Kathleen N. Moore, Gini F. Fleming, et al.. (2014). A phase II study of ramucirumab (IMC-1121B) in the treatment of persistent or recurrent epithelial ovarian, fallopian tube or primary peritoneal carcinoma. Gynecologic Oncology. 134(3). 478–485. 26 indexed citations
15.
Yardley, Denise A., Paul Richards, James A. Reeves, et al.. (2014). Final results of a phase 2 study of ramucirumab (RAM) plus eribulin (E) versus E in advanced metastatic breast cancer (MBC).. Journal of Clinical Oncology. 32(15_suppl). 1035–1035. 16 indexed citations
16.
Zhu, Andrew X., Richard S. Finn, Mary F. Mulcahy, et al.. (2013). A Phase II and Biomarker Study of Ramucirumab, a Human Monoclonal Antibody Targeting the VEGF Receptor-2, as First-Line Monotherapy in Patients with Advanced Hepatocellular Cancer. Clinical Cancer Research. 19(23). 6614–6623. 122 indexed citations
18.
Valicenti, Richard K., et al.. (2010). A Phase I Trial of Samarium-153-Lexidronam Complex for Treatment of Clinically Nonmetastatic High-Risk Prostate Cancer: First Report of a Completed Study. International Journal of Radiation Oncology*Biology*Physics. 79(3). 732–737. 7 indexed citations
19.
Li, Peng, Stephanie Schulz, Alessandro Bombonati, et al.. (2007). Guanylyl Cyclase C Suppresses Intestinal Tumorigenesis by Restricting Proliferation and Maintaining Genomic Integrity. Gastroenterology. 133(2). 599–607. 116 indexed citations
20.
Morris, Gloria J., Allan Topham, Yihuan Xu, et al.. (2007). Differences in breast carcinoma characteristics in newly diagnosed African–American and Caucasian patients. Cancer. 110(4). 876–884. 477 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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