Mingbo Cheng

1.2k total citations
7 papers, 152 citations indexed

About

Mingbo Cheng is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, Mingbo Cheng has authored 7 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Nephrology. Recurrent topics in Mingbo Cheng's work include Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). Mingbo Cheng is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). Mingbo Cheng collaborates with scholars based in Germany, Netherlands and Italy. Mingbo Cheng's co-authors include Ivan G. Costa, Zhijian Li, Christoph Kuppe, Rafael Kramann, Susanne Ziegler, Nazanin Kabgani, Sylvia Menzel, Martin Zenke, Nassim Bouteldja and Roman D. Bülow and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Mingbo Cheng

6 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingbo Cheng Germany	4	90	28	26	26	23	7	152
Christofer Bäcklin Sweden	6	90 1.0×	23 0.8×	7 0.3×	19 0.7×	4 0.2×	10	177
Iga Kołodziejczak Poland	3	47 0.5×	28 1.0×	31 1.2×	23 0.9×	2 0.1×	3	123
T. Salameh United States	5	90 1.0×	13 0.5×	23 0.9×	12 0.5×	2 0.1×	5	216
Daiwei Zhang United States	6	129 1.4×	38 1.4×	22 0.8×	12 0.5×		8	212
Fangjin Huang United States	6	34 0.4×	19 0.7×	31 1.2×	35 1.3×	1 0.0×	8	109
Kyu Sang Han United States	3	57 0.6×	18 0.6×	29 1.1×	16 0.6×		5	163
Jinshan Nie China	3	52 0.6×	29 1.0×	19 0.7×	10 0.4×	1 0.0×	6	142
Daniel Sutton United Kingdom	6	85 0.9×	9 0.3×	3 0.1×	14 0.5×	4 0.2×	9	144
Kelly Offermans Netherlands	6	42 0.5×	59 2.1×	32 1.2×	27 1.0×		14	136

Countries citing papers authored by Mingbo Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Mingbo Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingbo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Mingbo Cheng. A scholar is included among the top collaborators of Mingbo Cheng 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 Mingbo Cheng. Mingbo Cheng 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:

7 of 7 papers shown

1.

Cheng, Mingbo, Jitske Jansen, Katharina C. Reimer, et al.. (2025). PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories. Nature Methods. 22(11). 2328–2336.

2.

Cheng, Mingbo, Vera Jankowski, Ina V. Martin, et al.. (2024). Lineage tracing reveals transient phenotypic adaptation of tubular cells during acute kidney injury. iScience. 27(3). 109255–109255. 1 indexed citations

3.

Hölscher, David L., Nassim Bouteldja, María Luisa Russo, et al.. (2023). Next-Generation Morphometry for pathomics-data mining in histopathology. Nature Communications. 14(1). 470–470. 67 indexed citations

4.

Parra‐Tabla, Víctor, Roman D. Bülow, Christoph Kuppe, et al.. (2023). Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT). Molecular Systems Biology. 20(2). 57–74. 13 indexed citations

5.

Cheng, Mingbo, Zhijian Li, & Ivan G. Costa. (2022). MOJITOO: a fast and universal method for integration of multimodal single-cell data. Bioinformatics. 38(Supplement_1). i282–i289. 7 indexed citations

6.

Li, Zhijian, Christoph Kuppe, Susanne Ziegler, et al.. (2021). Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen. Nature Communications. 12(1). 6386–6386. 63 indexed citations

7.

Cheng, Mingbo. (2002). Generalised Berlekamp–Massey algorithm. IEE Proceedings - Communications. 149(4). 207–207. 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.

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