Qingxiang Yan

426 total citations
7 papers, 172 citations indexed

About

Qingxiang Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Statistics, Probability and Uncertainty. According to data from OpenAlex, Qingxiang Yan has authored 7 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Qingxiang Yan's work include Reliability and Agreement in Measurement (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Machine Learning in Bioinformatics (1 paper). Qingxiang Yan is often cited by papers focused on Reliability and Agreement in Measurement (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Machine Learning in Bioinformatics (1 paper). Qingxiang Yan collaborates with scholars based in United States, Netherlands and Canada. Qingxiang Yan's co-authors include Ziding Feng, Janet L. Stanford, Leonidas E. Bantis, Gloria M. Petersen, Suresh T. Chari, Jonathan L. Wright, Ru Chen, Randall E. Brand, Jimmy K. Eng and Marina Bibikova and has published in prestigious journals such as Clinical Cancer Research, Statistics in Medicine and Journal of Proteome Research.

In The Last Decade

Qingxiang Yan

7 papers receiving 169 citations

Peers

Qingxiang Yan

MB

CR

PRM

ONCOL

SPECT

Youting Sun United States

Annika Spruessel Germany

Zhilin Jin United States

Isabelle Farré France

Nora Balint‐Lahat Israel

Katrin Madjar Germany

Yong Kim United States

Desam Roda United Kingdom

Núria Pedrola Spain

Corwin Joy United States

Youting Sun United States

Qingxiang Yan

136 ×1.4

MB

71 ×1.4

CR

17 ×0.4

PRM

39 ×1.1

ONCOL

17 ×0.8

SPECT

Citations per year, relative to Qingxiang Yan Qingxiang Yan (= 1×) peers Youting Sun

Countries citing papers authored by Qingxiang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Qingxiang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxiang Yan

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

All Works

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7 of 7 papers shown

1.

Li, Feng, Wei Fang, Wei-Lun Huang, et al.. (2020). Ultra-Short Circulating Tumor DNA (usctDNA) in Plasma and Saliva of Non-Small Cell Lung Cancer (NSCLC) Patients. Cancers. 12(8). 2041–2041. 34 indexed citations

2.

Yan, Qingxiang, Leonidas E. Bantis, Janet L. Stanford, & Ziding Feng. (2017). Combining multiple biomarkers linearly to maximize the partial area under the ROC curve. Statistics in Medicine. 37(4). 627–642. 15 indexed citations

3.

Bantis, Leonidas E., Qingxiang Yan, John Tsimikas, & Ziding Feng. (2017). Estimation of smooth ROC curves for biomarkers with limits of detection. Statistics in Medicine. 36(24). 3830–3843. 5 indexed citations

4.

Zhao, Shanshan, Milan S. Geybels, Amy Leonardson, et al.. (2016). Epigenome-Wide Tumor DNA Methylation Profiling Identifies Novel Prognostic Biomarkers of Metastatic-Lethal Progression in Men Diagnosed with Clinically Localized Prostate Cancer. Clinical Cancer Research. 23(1). 311–319. 57 indexed citations

5.

Nouri-Nigjeh, Eslam, Ru Chen, Randall E. Brand, et al.. (2016). Quantitative Proteomics Based on Optimized Data-Independent Acquisition in Plasma Analysis. Journal of Proteome Research. 16(2). 665–676. 34 indexed citations

6.

Taguchi, Ayumu, Qingxiang Yan, Yuzheng Zhang, et al.. (2015). MAPRE1 as a Plasma Biomarker for Early-Stage Colorectal Cancer and Adenomas. Cancer Prevention Research. 8(11). 1112–1119. 26 indexed citations

7.

Yan, Qingxiang. (2013). Queueing models for capacity changes in cellular networks. University Library - University of Saskatchewan (University of Saskatchewan). 1 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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