Shang‐Min Zhang

25 total papers · 783 total citations
10 papers, 356 citations indexed

About

Shang‐Min Zhang is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Shang‐Min Zhang has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Shang‐Min Zhang's work include Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Shang‐Min Zhang is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Shang‐Min Zhang collaborates with scholars based in United States and China. Shang‐Min Zhang's co-authors include Qin Yan, Lizhen Wu, Qi Xu, Wesley L. Cai, William K.C. Cheung, Min Lu, Molly Gale, Jian Cao, Jiesi Luo and Xiaoqiang Cong and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and The FASEB Journal.

In The Last Decade

Shang‐Min Zhang

10 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shang‐Min Zhang	274	49	45	40	33	10	356
Benjamín García‐Bloj	311 1.1×	58 1.2×	15 0.3×	49 1.2×	61 1.8×	13	364
Charles C. Bell	297 1.1×	48 1.0×	12 0.3×	63 1.6×	50 1.5×	12	386
Kirk Twaroski	271 1.0×	38 0.8×	48 1.1×	11 0.3×	76 2.3×	15	391
Yukimasa Makita	351 1.3×	40 0.8×	11 0.2×	39 1.0×	81 2.5×	7	398
Katherine Chan	270 1.0×	29 0.6×	8 0.2×	70 1.8×	23 0.7×	15	348
Jianting Mao	310 1.1×	70 1.4×	15 0.3×	124 3.1×	38 1.2×	10	403
Federica Cermola	218 0.8×	37 0.8×	50 1.1×	48 1.2×	22 0.7×	11	384
Pawel Bialk	316 1.2×	22 0.4×	13 0.3×	8 0.2×	86 2.6×	15	354
Rutger N.U. Kok	145 0.5×	113 2.3×	31 0.7×	35 0.9×	22 0.7×	10	322
Katie Sanders	311 1.1×	23 0.5×	10 0.2×	58 1.4×	49 1.5×	13	380

Countries citing papers authored by Shang‐Min Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Min Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Min Zhang

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

All Works

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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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