Wennan Chang

57 total papers · 889 total citations
21 papers, 413 citations indexed

About

Wennan Chang is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wennan Chang has authored 21 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wennan Chang's work include Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Wennan Chang is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Wennan Chang collaborates with scholars based in United States, China and Japan. Wennan Chang's co-authors include Feng Duan, Chi Zhu, Zengqiang Chen, Wei Li, Chi Zhang, Sha Cao, Changlin Wan, Xiaoyu Lu, Qin Ma and Melissa L. Fishel and has published in prestigious journals such as Nucleic Acids Research, Blood and Cancer Research.

In The Last Decade

Wennan Chang

18 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Wennan Chang	158	144	100	63	49	21	413
Julia Starke	70 0.4×	230 1.6×	50 0.5×	13 0.2×	25 0.5×	14	420
Sheng-Huang Lin	130 0.8×	72 0.5×	29 0.3×	56 0.9×	9 0.2×	26	471
Yu-Fei Zhang	266 1.7×	35 0.2×	38 0.4×	170 2.7×	41 0.8×	19	480
Mingzhe Han	291 1.8×	23 0.2×	59 0.6×	22 0.3×	41 0.8×	39	474
Liang He	334 2.1×	41 0.3×	30 0.3×	35 0.6×	16 0.3×	29	485
Yizhao Zhou	134 0.8×	104 0.7×	33 0.3×	114 1.8×	26 0.5×	20	377
Guanzheng Liu	114 0.7×	172 1.2×	86 0.9×	47 0.7×	20 0.4×	33	491
Yuheng Du	230 1.5×	120 0.8×	32 0.3×	78 1.2×	55 1.1×	25	475
Régis Fournier	225 1.4×	56 0.4×	53 0.5×	23 0.4×	71 1.4×	28	494
Tomoya Kitamura	216 1.4×	51 0.4×	41 0.4×	31 0.5×	24 0.5×	36	490

Countries citing papers authored by Wennan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Wennan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wennan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wennan Chang. A scholar is included among the top collaborators of Wennan Chang 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 Wennan Chang. Wennan Chang 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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