QiPing Feng

5.8k total citations · 1 hit paper
78 papers, 1.8k citations indexed

About

QiPing Feng is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, QiPing Feng has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 24 papers in Molecular Biology and 21 papers in Surgery. Recurrent topics in QiPing Feng's work include Lipoproteins and Cardiovascular Health (14 papers), Genetic Associations and Epidemiology (13 papers) and Genomics and Rare Diseases (7 papers). QiPing Feng is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Genetic Associations and Epidemiology (13 papers) and Genomics and Rare Diseases (7 papers). QiPing Feng collaborates with scholars based in United States, China and United Kingdom. QiPing Feng's co-authors include Russell A. Wilke, Wei‐Qi Wei, Joshua C. Denny, Ronald M. Krauss, Laura B. Ramsey, Teri E. Klein, Samuel G. Johnson, Howard L. McLeod, Whitney D. Maxwell and Rhonda M. Cooper‐DeHoff and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

QiPing Feng

77 papers receiving 1.8k citations

Hit Papers

The Clinical Pharmacogenetics Implementation Consortium G... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Clinical Pharmacogenetics Implementation Consortium Guideline for SLCO1B1 and Simvastatin-Induced Myopathy: 2014 Update
    2014 301 citations Ronald M. Krauss, QiPing Feng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
QiPing Feng United States 22 452 424 320 307 221 78 1.8k
Linnea M. Baudhuin United States 23 424 0.9× 861 2.0× 244 0.8× 577 1.9× 344 1.6× 72 2.3k
Jonathan D. Mosley United States 24 268 0.6× 725 1.7× 136 0.4× 444 1.4× 165 0.7× 91 2.0k
Sony Tuteja United States 20 320 0.7× 276 0.7× 283 0.9× 109 0.4× 109 0.5× 71 1.3k
James K. Burmester United States 23 190 0.4× 572 1.3× 652 2.0× 374 1.2× 85 0.4× 44 1.8k
Vikram Sinha United States 27 422 0.9× 469 1.1× 460 1.4× 141 0.5× 145 0.7× 76 2.4k
Ryan Owen United States 17 388 0.9× 719 1.7× 293 0.9× 165 0.5× 118 0.5× 35 2.4k
Antonio González‐Pérez Spain 27 678 1.5× 366 0.9× 102 0.3× 457 1.5× 361 1.6× 69 2.8k
Jim C. Oates United States 35 216 0.5× 893 2.1× 101 0.3× 229 0.7× 314 1.4× 113 4.2k
Andrea H. Ramirez United States 20 137 0.3× 526 1.2× 482 1.5× 446 1.5× 68 0.3× 41 1.7k
Myrthe P. P. van Herk‐Sukel Netherlands 28 491 1.1× 598 1.4× 107 0.3× 202 0.7× 134 0.6× 69 2.3k

Countries citing papers authored by QiPing Feng

Since Specialization
Citations

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

Fields of papers citing papers by QiPing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of QiPing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of QiPing Feng. A scholar is included among the top collaborators of QiPing Feng 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 QiPing Feng. QiPing Feng 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
1.
Krantz, Matthew S., V. Eric Kerchberger, Alyson L. Dickson, et al.. (2025). Improving topic modeling performance on social media through semantic relationships within biomedical terminology. PLoS ONE. 20(2). e0318702–e0318702. 1 indexed citations
2.
Li, Haochen, Lin Li, Congcong Shen, et al.. (2025). Biomechanical analysis of clear aligners for mandibular anterior teeth intrusion and its clinical application in the design of new aligner attachment. Progress in Orthodontics. 26(1). 11–11. 3 indexed citations
3.
Kerchberger, V. Eric, J. Brennan McNeil, Neil S. Zheng, et al.. (2025). A Computable Electronic Health Record ARDS Classifier and the Association Between the MUC5B Promoter Polymorphism and ARDS in Critically Ill Adults. PubMed. 3(3). 100150–100150. 1 indexed citations
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Stocco, Gabriele, Katherine N. Theken, Alyson L. Dickson, et al.. (2024). Pharmacogenomics polygenic risk score: Ready or not for prime time?. Clinical and Translational Science. 17(8). e13893–e13893. 7 indexed citations
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Driest, Sara L. Van, Jamie R. Robinson, Henry H. Ong, et al.. (2023). Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. Journal of the American Medical Informatics Association. 31(2). 386–395. 4 indexed citations
8.
Hui, Daniel, Scott Dudek, Krzysztof Kiryluk, et al.. (2023). Risk factors affecting polygenic score performance across diverse cohorts. eLife. 12.
9.
Pividori, Milton, Sumei Lu, Binglan Li, et al.. (2023). Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14(1). 5562–5562. 9 indexed citations
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Liu, Ge, Lan Jiang, V. Eric Kerchberger, et al.. (2023). The relationship between high density lipoprotein cholesterol and sepsis: A clinical and genetic approach. Clinical and Translational Science. 16(3). 489–501. 5 indexed citations
12.
Dickson, Alyson L., Wenjian Yang, W. Dale Plummer, et al.. (2022). Race, Genotype, and Azathioprine Discontinuation. Annals of Internal Medicine. 175(8). 1092–1099. 16 indexed citations
13.
Wu, Patrick, QiPing Feng, V. Eric Kerchberger, et al.. (2022). Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension. Nature Communications. 13(1). 46–46. 32 indexed citations
14.
Zhao, Juan, V. Eric Kerchberger, Joshua Smith, et al.. (2021). ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes. Journal of Biomedical Informatics. 117. 103748–103748. 11 indexed citations
15.
Zheng, Neil S., Jeremy L. Warner, Travis Osterman, et al.. (2020). A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. Journal of Biomedical Informatics. 113. 103657–103657. 16 indexed citations
16.
Smit, Roelof A. J., Stella Trompet, Aaron Leong, et al.. (2019). Statin-induced LDL cholesterol response and type 2 diabetes: a bidirectional two-sample Mendelian randomization study. The Pharmacogenomics Journal. 20(3). 462–470. 17 indexed citations
17.
Gill, Dipender, Marios K. Georgakis, Fotios Koskeridis, et al.. (2019). Use of Genetic Variants Related to Antihypertensive Drugs to Inform on Efficacy and Side Effects. Circulation. 140(4). 270–279. 89 indexed citations
18.
Zhao, Juan, QiPing Feng, Patrick Wu, et al.. (2019). Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA). PLoS ONE. 14(2). e0212112–e0212112. 26 indexed citations
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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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Breakdown of academic impact, for papers by Linnea M. Baudhuin Breakdown of academic impact, for papers by Jonathan D. Mosley Breakdown of academic impact, for papers by Sony Tuteja Breakdown of academic impact, for papers by James K. Burmester Breakdown of academic impact, for papers by Vikram Sinha Breakdown of academic impact, for papers by Ryan Owen Breakdown of academic impact, for papers by Antonio González‐Pérez Breakdown of academic impact, for papers by Jim C. Oates Breakdown of academic impact, for papers by Andrea H. Ramirez Breakdown of academic impact, for papers by Myrthe P. P. van Herk‐Sukel
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