Jianghan Qu

663 total citations
10 papers, 385 citations indexed

About

Jianghan Qu is a scholar working on Molecular Biology, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jianghan Qu has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Otorhinolaryngology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jianghan Qu's work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Jianghan Qu is often cited by papers focused on RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Jianghan Qu collaborates with scholars based in United States, United Kingdom and Canada. Jianghan Qu's co-authors include Andrew D. Smith, Meng Zhou, Qiang Song, Benjamin E. Decato, Jun Zhou, Fang Fang, Tyler H. Garvin, Michael D. Kessler, Gregory J. Hannon and Emily Hodges and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Jianghan Qu

10 papers receiving 378 citations

Peers

Countries citing papers authored by Jianghan Qu

Since Specialization

Citations

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

Fields of papers citing papers by Jianghan Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianghan Qu

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Clinical validation and utility of Percepta GSC for the evaluation of lung cancer 2022 ·PLoS ONE ·Peter J. Mazzone, (unknown), Momen M. Wahidi, Michael Bernstein, Hans J. Lee, (unknown), Lonny Yarmus, Duncan Whitney, Christopher S. Stevenson, Jianghan Qu, Marla Johnson, P. Sean Walsh, Jing Huang, Lori Lofaro, Sangeeta Bhorade, Giulia C. Kennedy, Avrum Spira, M. Patricia Rivera, (unknown), (unknown)	6
2	Maximizing Small Biopsy Patient Samples: Unified RNA-Seq Platform Assessment of over 120,000 Patient Biopsies 2022 ·Journal of Personalized Medicine ·P. Sean Walsh, Yangyang Hao, (unknown), Jianghan Qu, Jonathan I. Wilde, (unknown), Richard T. Kloos, Jing Huang, Giulia C. Kennedy	4
3	A NASAL CLINICAL-GENOMIC CLASSIFIER FOR ASSESSING RISK OF MALIGNANCY IN LUNG NODULES DEMONSTRATES ACCURATE PERFORMANCE INDEPENDENT OF NODULE SIZE OR CANCER STAGE 2021 ·CHEST Journal ·Carla Lamb, Kimberly Rieger‐Christ, Chakravarthy Reddy, (unknown), Jianghan Qu, (unknown), Marla Johnson, Duncan Whitney, P. Sean Walsh, Jonathan I. Wilde, Sangeeta Bhorade, William A. Bulman, Lori Lofaro, Jing Huang, Avi Spira, Giulia C. Kennedy, Peter J. Mazzone	2
4	Early candidate nasal swab classifiers developed using machine learning and whole transcriptome sequencing may improve early lung cancer detection. 2021 ·Journal of Clinical Oncology ·Peter J. Mazzone, Carla Lamb, Kimberly Rieger‐Christ, Chakravarthy B. Reddy, Jianghan Qu, (unknown), (unknown), Duncan Whitney, Daniel G. Pankratz, Joshua Babiarz, Lori Lofaro, P. Sean Walsh, J Wilde, Sangeeta Bhorade, Jing Huang, Giulia C. Kennedy, Avrum Spira	3
5	Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts 2020 ·BMC Medical Genomics ·Yoonha Choi, Jianghan Qu, (unknown), Yangyang Hao, (unknown), Jianchang Ning, Xinwu Yang, Lori Lofaro, Daniel G. Pankratz, Joshua Babiarz, P. Sean Walsh, Ehab Billatos, Marc E. Lenburg, Giulia C. Kennedy, Jon McAuliffe, Jing Huang	17
6	Characterization of universal features of partially methylated domains across tissues and species 2020 ·Epigenetics & Chromatin ·Benjamin E. Decato, Jianghan Qu, Xiaojing Ji, Elvin Wagenblast, Simon Knott, Gregory J. Hannon, Andrew D. Smith	18
7	Evolutionary expansion of DNA hypomethylation in the mammalian germline genome 2017 ·Genome Research ·Jianghan Qu, Emily Hodges, Antoine Molaro, Pascal Gagneux, Matthew D. Dean, Gregory J. Hannon, Andrew D. Smith	27
8	MLML: consistent simultaneous estimates of DNA methylation and hydroxymethylation 2013 ·Bioinformatics ·Jianghan Qu, Meng Zhou, Qiang Song, (unknown), Andrew D. Smith	34
9	A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics 2013 ·PLoS ONE ·Qiang Song, Benjamin E. Decato, (unknown), Meng Zhou, Fang Fang, Jianghan Qu, Tyler H. Garvin, Michael D. Kessler, Jun Zhou, Andrew D. Smith	272
10	A study of biases of DNA copy number estimation based on PICR model 2011 ·Frontiers of Mathematics in China ·Quan Wang, Jianghan Qu, Xiaoxing Cheng, (unknown), Lin Wan, Minping Qian, Minghua Deng	2

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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