Minxing Pang

542 total citations
2 papers, 9 citations indexed

About

Minxing Pang is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Minxing Pang has authored 2 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Genetics and 1 paper in Biophysics. Recurrent topics in Minxing Pang's work include Cell Image Analysis Techniques (1 paper), Genetic Associations and Epidemiology (1 paper) and Single-cell and spatial transcriptomics (1 paper). Minxing Pang is often cited by papers focused on Cell Image Analysis Techniques (1 paper), Genetic Associations and Epidemiology (1 paper) and Single-cell and spatial transcriptomics (1 paper). Minxing Pang collaborates with scholars based in United States. Minxing Pang's co-authors include Xiaodong Wu, Kai Tan, Haibo Zhou, Quan Sun, Yun Li, Laura M. Raffield, Huaxiu Yao and C. Chen and has published in prestigious journals such as Nature Methods and Human Genetics and Genomics Advances.

In The Last Decade

Minxing Pang

1 paper receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minxing Pang United States	1	7	3	2	1	1	2	9
Alex Hakansson United States	3	8 1.1×	3 1.0×	2 1.0×			5	9
Tyler Mollenkopf United States	2	7 1.0×	3 1.0×	1 0.5×		1 1.0×	2	12
Franck Rapaport United States	2	6 0.9×	2 0.7×	3 1.5×			3	8
Eunhwa Kang South Korea	2	8 1.1×	3 1.0×				5	12
Raphaël Leman France	2	6 0.9×	3 1.0×				10	11
Wenwen Li Denmark	2	6 0.9×	3 1.0×				3	11
Dilmareth E. Natera-Rodriguez United States	2	9 1.3×	3 1.0×				2	12
Ryan Kwok United States	2	7 1.0×	4 1.3×				2	13
Peter Niimi United States	2	9 1.3×	3 1.0×			1 1.0×	2	12

Countries citing papers authored by Minxing Pang

Since Specialization

Citations

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

Fields of papers citing papers by Minxing Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxing Pang

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

All Works

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2 of 2 papers shown

1.

Pang, Minxing, Laura M. Raffield, Haibo Zhou, et al.. (2025). Variational autoencoder-based model improves polygenic prediction in blood cell traits. Human Genetics and Genomics Advances. 6(4). 100490–100490.

2.

Pang, Minxing, et al.. (2024). CelloType: a unified model for segmentation and classification of tissue images. Nature Methods. 22(2). 348–357. 9 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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