Xinyan Lu

1.7k total citations
55 papers, 1.1k citations indexed

About

Xinyan Lu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xinyan Lu has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Oncology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xinyan Lu's work include Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Xinyan Lu is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Xinyan Lu collaborates with scholars based in United States, China and Canada. Xinyan Lu's co-authors include Chad A. Shaw, Paweł Stankiewicz, Sau Wai Cheung, Arthur L. Beaudet, James R. Lupski, Pulivarthi H. Rao, Trilochan Sahoo, Svetlana A. Yatsenko, Ankita Patel and Carlos A. Bacino and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xinyan Lu

51 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
Xinyan Lu United States 16 521 294 204 184 159 55 1.1k
Payal P. Khincha United States 15 414 0.8× 283 1.0× 179 0.9× 328 1.8× 88 0.6× 47 938
Jennifer Willert United States 13 485 0.9× 129 0.4× 81 0.4× 223 1.2× 178 1.1× 37 926
Éva Oláh Hungary 19 358 0.7× 187 0.6× 88 0.4× 234 1.3× 63 0.4× 85 1.1k
Xiaoyan Qu China 15 1.1k 2.2× 371 1.3× 252 1.2× 250 1.4× 59 0.4× 51 1.6k
Susanne Timshel Denmark 15 343 0.7× 150 0.5× 364 1.8× 281 1.5× 122 0.8× 20 1.1k
Shirley Henderson United Kingdom 15 400 0.8× 228 0.8× 151 0.7× 87 0.5× 91 0.6× 43 1.0k
Robert Huether United States 14 423 0.8× 597 2.0× 295 1.4× 187 1.0× 78 0.5× 30 1.0k
Peining Li United States 20 512 1.0× 657 2.2× 145 0.7× 94 0.5× 80 0.5× 84 1.3k
Frank Sangiorgi United States 18 919 1.8× 467 1.6× 141 0.7× 212 1.2× 216 1.4× 23 1.6k
Daniel Nettersheim Germany 27 1.4k 2.6× 261 0.9× 188 0.9× 151 0.8× 228 1.4× 71 1.9k

Countries citing papers authored by Xinyan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyan Lu. A scholar is included among the top collaborators of Xinyan Lu 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 Xinyan Lu. Xinyan Lu 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
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Wu, Hao, Madina Sukhanova, Haiming Tang, et al.. (2024). Use of Mitotic Activity and the Size of Any Dedifferentiated Component for Risk Assessment in MDM 2-Amplified Liposarcoma. Archives of Pathology & Laboratory Medicine. 149(5). 422–430. 1 indexed citations
3.
Shi, Yuxin, Qiong Zhu, Xinyan Lu, et al.. (2024). Low-Coordinated Nitrogen Vacancies for Robust Visible-Light-Driven H2O2 Production. ACS ES&T Water. 5(1). 242–252. 1 indexed citations
4.
Lu, Xinyan, et al.. (2024). MiRNAs function in the development of resistance against doxorubicin in cancer cells: targeting ABC transporters. Frontiers in Pharmacology. 15. 1486783–1486783. 4 indexed citations
5.
Gao, Juehua, Yihua Chen, Yasmin Abaza, et al.. (2024). CSF3R mutated myeloid neoplasms: Beyond chronic neutrophilic leukemia. Human Pathology. 149. 66–74. 2 indexed citations
6.
Yang, Hongbo, Qiushi Jin, Xiaotao Wang, et al.. (2023). Enhancer Coamplification and Hijacking Promote Oncogene Expression in Liposarcoma. Cancer Research. 83(9). 1517–1530. 14 indexed citations
7.
Liu, Shuang, Yafang Liu, Bin Chen, et al.. (2023). The complete mitochondrial genome of Morishitium polonicum (Trematoda, Cyclocoelidae) and its phylogenetic implications. Parasitology Research. 122(11). 2609–2620.
8.
Sukhanova, Madina, Amir Behdad, Lawrence J. Jennings, et al.. (2022). Many faces of SF3B1-mutated myeloid neoplasms: concurrent mutational profiles contribute to the diverse clinical and morphologic features. Human Pathology. 129. 81–89. 1 indexed citations
9.
Huang, Tina, Ye Hou, Elizabeth T. Bartom, et al.. (2021). Epigenomic landscape and 3D genome structure in pediatric high-grade glioma. Science Advances. 7(23). 50 indexed citations
10.
Huang, Guangzhao, Qingqing Wu, Fei Li, et al.. (2021). Bioinformatics Analyses Indicate That Cathepsin G (CTSG) is a Potential Immune-Related Biomarker in Oral Squamous Cell Carcinoma (OSCC). OncoTargets and Therapy. Volume 14. 1275–1289. 23 indexed citations
11.
Qiao, Kailiang, Yantao Liu, Zheng Xu, et al.. (2020). RNA m6A methylation promotes the formation of vasculogenic mimicry in hepatocellular carcinoma via Hippo pathway. Angiogenesis. 24(1). 83–96. 80 indexed citations
12.
Alexiev, Borislav A., Amir Behdad, Xinyan Lu, Esther Cheng, & Sandeep Samant. (2020). High-risk human papillomavirus-mediated adenocarcinoma of palatine tonsil. Pathology - Research and Practice. 216(8). 152924–152924. 3 indexed citations
13.
Gao, Juehua, Yanming Zhang, Nabeel R. Yaseen, et al.. (2020). Comprehensive molecular genetic studies of Epstein-Barr virus-negative aggressive Natural killer-cell leukemia/lymphoma. Human Pathology. 105. 20–30. 1 indexed citations
14.
Zhang, Yanming, Alain Mina, Jessica K. Altman, et al.. (2019). An integrative approach reveals genetic complexity and epigenetic perturbation in acute promyelocytic leukemia: a single institution experience. Human Pathology. 91. 1–10. 5 indexed citations
15.
Choi, Sarah M., Aleodor A. Andea, Min Wang, et al.. (2018). KRAS mutation in secondary malignant histiocytosis arising from low grade follicular lymphoma. Diagnostic Pathology. 13(1). 78–78. 8 indexed citations
16.
17.
Lu, Xinyan, Yaojuan Lu, Jason Kang, et al.. (2008). Cell Cycle Regulator Gene CDC5L , a Potential Target for 6p12-p21 Amplicon in Osteosarcoma. Molecular Cancer Research. 6(6). 937–946. 65 indexed citations
18.
Shao, Lina, Chad A. Shaw, Xinyan Lu, et al.. (2008). Identification of chromosome abnormalities in subtelomeric regions by microarray analysis: A study of 5,380 cases. American Journal of Medical Genetics Part A. 146A(17). 2242–2251. 92 indexed citations
19.
Lu, Xinyan, Chad A. Shaw, Ankita Patel, et al.. (2007). Clinical Implementation of Chromosomal Microarray Analysis: Summary of 2513 Postnatal Cases. PLoS ONE. 2(3). e327–e327. 147 indexed citations
20.
Tsang, Yvonne T.M., et al.. (2004). Amplification of MGC2177, PLAG1, PSMC6P, and LYN in a malignant mixed tumor of salivary gland detected by cDNA microarray with tyramide signal amplification. Cancer Genetics and Cytogenetics. 152(2). 124–128. 10 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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