Weiping Ma

7.1k total citations
11 papers, 77 citations indexed

About

Weiping Ma is a scholar working on Molecular Biology, General Health Professions and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weiping Ma has authored 11 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in General Health Professions and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weiping Ma's work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Weiping Ma is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Weiping Ma collaborates with scholars based in United States, China and Australia. Weiping Ma's co-authors include Pei Wang, Micol Zweig, Yu‐Feng Yvonne Chan, Steven G. Hershman, Christine Suver, Nicole Tignor, Brian M. Bot, Erick R. Scott, Eric E. Schadt and Xiaoqian Huang and has published in prestigious journals such as PLoS ONE, Biometrics and Molecular & Cellular Proteomics.

In The Last Decade

Weiping Ma

9 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiping Ma United States 6 22 16 15 14 11 11 77
Bagas Suryo Bintoro Indonesia 5 16 0.7× 12 0.8× 11 0.7× 4 0.3× 2 0.2× 16 100
Alessio Lachi Italy 6 5 0.2× 4 0.3× 35 2.3× 5 0.4× 1 0.1× 16 102
Cara Z. McCormick United States 5 30 1.4× 7 0.4× 4 0.3× 14 1.0× 6 141
Tejinder Rakhra-Burris United States 6 21 1.0× 3 0.2× 4 0.3× 12 0.9× 9 122
Robyn Lim Canada 6 20 0.9× 38 2.5× 19 1.4× 4 0.4× 12 206
Jacqueline Bachand United States 4 11 0.5× 4 0.3× 12 0.8× 2 0.1× 5 30
M. Lewicka Poland 6 18 0.8× 1 0.1× 11 0.7× 11 0.8× 13 109
Constance Shiridzinomwa United Kingdom 4 7 0.3× 3 0.2× 11 0.7× 5 0.4× 9 50
Tavpritesh Sethi India 7 4 0.2× 4 0.3× 5 0.3× 23 1.6× 17 90
Suhua Zhou China 4 3 0.1× 4 0.3× 7 0.5× 76 5.4× 1 0.1× 5 125

Countries citing papers authored by Weiping Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Ma

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

All Works

11 of 11 papers shown
1.
Stocker, Daniel, Stefanie J. Hectors, Brett Marinelli, et al.. (2024). Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach. Abdominal Radiology. 50(5). 2000–2011. 4 indexed citations
2.
Ma, Weiping, Xiaoyu Song, Guo‐Cheng Yuan, & Pei Wang. (2024). RECCIPE: A new framework assessing localized cell-cell interaction on gene expression in multicellular ST data. Frontiers in Genetics. 15. 1322886–1322886.
3.
Marino, Giacomo B., Daniel Clarke, Adam Resnick, et al.. (2024). Multiomics2Targets identifies targets from cancer cohorts profiled with transcriptomics, proteomics, and phosphoproteomics. Cell Reports Methods. 4(8). 100839–100839. 5 indexed citations
4.
Ma, Weiping, Huarui Zhu, & Ling Zhang. (2024). DEPRESSIVE SYMPTOMS AND MULTIPLE CHRONIC CONDITIONS:FINDINGS FROM THE CHINA HEALTH AND RETIREMENT LONGITUDINAL STUDY ON AGING AMONG MIDDLE-AGED AND OLDER ADULTS. Journal of Hypertension. 42(Suppl 1). e233–e234. 1 indexed citations
5.
6.
Lewis, Sara, Mario A. Cedillo, Karen M. Lee, et al.. (2021). Comparative assessment of standard and immune response criteria for evaluation of response to PD-1 monotherapy in unresectable HCC. Abdominal Radiology. 47(3). 969–980. 8 indexed citations
7.
Yoo, Seungyeul, Zhiao Shi, Bo Wen, et al.. (2021). A community effort to identify and correct mislabeled samples in proteogenomic studies. Patterns. 2(5). 100245–100245. 5 indexed citations
8.
Ma, Weiping, Lin S. Chen, Umut Özbek, et al.. (2019). Integrative Proteo-genomic Analysis to Construct CNA-protein Regulatory Map in Breast and Ovarian Tumors. Molecular & Cellular Proteomics. 18(8). S66–S81. 6 indexed citations
9.
Chan, Yu‐Feng Yvonne, Brian M. Bot, Micol Zweig, et al.. (2018). The asthma mobile health study, smartphone data collected using ResearchKit. Scientific Data. 5(1). 180096–180096. 38 indexed citations
10.
Fu, Rong, Pei Wang, Weiping Ma, et al.. (2016). A Statistical Method for Detecting Differentially Expressed SNVs Based on Next-Generation RNA-Seq Data. Biometrics. 73(1). 42–51. 1 indexed citations
11.
Ma, Weiping, Yang Feng, Kani Chen, & Zhiliang Ying. (2015). Functional and Parametric Estimation in a Semi- and Nonparametric Model with Application to Mass-Spectrometry Data. The International Journal of Biostatistics. 11(2). 285–303. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026