Weijun Cheng

17 total papers · 500 total citations
11 papers, 395 citations indexed

About

Weijun Cheng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weijun Cheng has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weijun Cheng's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (3 papers). Weijun Cheng is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (3 papers). Weijun Cheng collaborates with scholars based in United States, France and China. Weijun Cheng's co-authors include Roberto Coronado, Daniel S. Greenspan, Guy G. Hoffman, Michel Ronjat, Xavier Altafaj, Christopher A. Ahern, David Sheridan, J. B. Rasmussen, Steven W. Meinhardt and Michel De Waard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Weijun Cheng

11 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
Weijun Cheng	298	119	117	55	53	11	395
Christiane Hill	259 0.9×	132 1.1×	48 0.4×	77 1.4×	25 0.5×	9	352
Yung‐Yao Lin	342 1.1×	37 0.3×	60 0.5×	102 1.9×	46 0.9×	15	403
Gerolamo Lanfranchi	361 1.2×	85 0.7×	44 0.4×	79 1.4×	25 0.5×	9	422
John J. Wolosewick	258 0.9×	67 0.6×	42 0.4×	150 2.7×	32 0.6×	8	423
Ingo Bothe	310 1.0×	35 0.3×	32 0.3×	107 1.9×	68 1.3×	12	427
Luciana K. Rosselli‐Murai	212 0.7×	28 0.2×	52 0.4×	41 0.7×	12 0.2×	15	401
Steve Laval	399 1.3×	91 0.8×	54 0.5×	92 1.7×	34 0.6×	12	431
Teresita Macalma	222 0.7×	108 0.9×	17 0.1×	95 1.7×	43 0.8×	7	404
Hülya Gündeşli	343 1.2×	76 0.6×	75 0.6×	124 2.3×	38 0.7×	12	417
Heather I. Cohn	211 0.7×	68 0.6×	87 0.7×	111 2.0×	88 1.7×	16	426

Countries citing papers authored by Weijun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Weijun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Cheng

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