Daiwei Zhang

922 total citations · 1 hit paper
8 papers, 212 citations indexed

About

Daiwei Zhang is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Daiwei Zhang has authored 8 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biophysics. Recurrent topics in Daiwei Zhang's work include Single-cell and spatial transcriptomics (3 papers), Molecular Biology Techniques and Applications (3 papers) and Genetic Associations and Epidemiology (2 papers). Daiwei Zhang is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Molecular Biology Techniques and Applications (3 papers) and Genetic Associations and Epidemiology (2 papers). Daiwei Zhang collaborates with scholars based in United States, Switzerland and South Korea. Daiwei Zhang's co-authors include Mingyao Li, Linghua Wang, Edward B. Lee, Jian Hu, Seunggeun Lee, Rounak Dey, Humam Kadara, Kyle Coleman, Amelia Schroeder and Katalin Suszták and has published in prestigious journals such as Cell, Nature Biotechnology and Bioinformatics.

In The Last Decade

Daiwei Zhang

8 papers receiving 211 citations

Hit Papers

align trajectories

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.

Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology

2024 73 citations Daiwei Zhang, Amelia Schroeder et al. Nature Biotechnology profile →

Peers

Daiwei Zhang

MB

GENET

CR

BIOPH

IMMUN

Cody N. Heiser United States

Hannah Kim United States

Shaliu Fu China

Kevin Menden Germany

Yuge Ji China

Yutong Sha United States

Loredana Martignetti France

Danni Luo China

Merve Dede United States

Christofer Bäcklin Sweden

Cody N. Heiser United States

Daiwei Zhang

143 ×1.1

MB

14 ×0.3

GENET

39 ×1.0

CR

68 ×2.3

BIOPH

45 ×1.6

IMMUN

Citations per year, relative to Daiwei Zhang Daiwei Zhang (= 1×) peers Cody N. Heiser

Countries citing papers authored by Daiwei Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Daiwei Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiwei Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Xia, Xue, et al.. (2025). MapSAM: adapting segment anything model for automated feature detection in historical maps. GIScience & Remote Sensing. 62(1). 1 indexed citations

2.

Zhang, Daiwei, Amelia Schroeder, Hanying Yan, et al.. (2024). Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology. Nature Biotechnology. 42(9). 1372–1377. 73 indexed citations breakdown →

3.

Bai, Zhiliang, Dingyao Zhang, Yan Gao, et al.. (2024). Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues. Cell. 187(23). 6760–6779.e24. 34 indexed citations

4.

Zhang, Daiwei, Lexin Li, Chandra Sripada, & Jian Kang. (2023). Image response regression via deep neural networks. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(5). 1589–1614. 5 indexed citations

5.

Zhang, Daiwei, et al.. (2023). Density regression and uncertainty quantification with Bayesian deep noise neural networks. Stat. 12(1). 2 indexed citations

6.

Hu, Jian, Kyle Coleman, Daiwei Zhang, et al.. (2023). Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA. Cell Systems. 14(5). 404–417.e4. 48 indexed citations

7.

Fritsche, Lars G., Ying Ma, Daiwei Zhang, et al.. (2021). On cross-ancestry cancer polygenic risk scores. PLoS Genetics. 17(9). e1009670–e1009670. 26 indexed citations

8.

Zhang, Daiwei, Rounak Dey, & Seunggeun Lee. (2020). Fast and robust ancestry prediction using principal component analysis. Bioinformatics. 36(11). 3439–3446. 23 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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