Manshu Tang

32 total papers · 466 total citations
16 papers, 378 citations indexed

About

Manshu Tang is a scholar working on Clinical Biochemistry, Molecular Biology and Biochemistry. According to data from OpenAlex, Manshu Tang has authored 16 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Clinical Biochemistry, 9 papers in Molecular Biology and 9 papers in Biochemistry. Recurrent topics in Manshu Tang's work include Metabolism and Genetic Disorders (13 papers), Amino Acid Enzymes and Metabolism (9 papers) and Mitochondrial Function and Pathology (4 papers). Manshu Tang is often cited by papers focused on Metabolism and Genetic Disorders (13 papers), Amino Acid Enzymes and Metabolism (9 papers) and Mitochondrial Function and Pathology (4 papers). Manshu Tang collaborates with scholars based in United States, Hong Kong and United Kingdom. Manshu Tang's co-authors include Kent Lai, Tatiana I. Slepak, Vladlen Z. Slepak, Péter Buchwald, Klaas J. Wierenga, Anwer Siddiqi, Bijina Balakrishnan, Hariprasad Vankayalapati, Matthew B. Boxer and Min Shen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

Manshu Tang

16 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Manshu Tang	218	167	139	67	60	16	378
Francine Lettre	256 1.2×	219 1.3×	161 1.2×	32 0.5×	39 0.7×	16	425
Shinichiro Arashima	99 0.5×	197 1.2×	53 0.4×	46 0.7×	9 0.1×	23	395
Seiji Matuo	146 0.7×	201 1.2×	75 0.5×	24 0.4×	10 0.2×	13	342
Izumi Akaboshi	262 1.2×	237 1.4×	134 1.0×	32 0.5×	4 0.1×	27	427
Claudine Grégori	47 0.2×	238 1.4×	39 0.3×	25 0.4×	24 0.4×	18	385
Piero Leone	122 0.6×	248 1.5×	55 0.4×	10 0.1×	40 0.7×	18	415
Joseph J. Betheil	46 0.2×	200 1.2×	27 0.2×	52 0.8×	53 0.9×	16	386
Akito Kitano	209 1.0×	219 1.3×	125 0.9×	23 0.3×	6 0.1×	25	389
Patrick Forny	182 0.8×	210 1.3×	19 0.1×	25 0.4×	19 0.3×	22	357
Sandesh C.S. Nagamani	277 1.3×	179 1.1×	133 1.0×	96 1.4×	4 0.1×	16	382

Countries citing papers authored by Manshu Tang

Since Specialization

Citations

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

Fields of papers citing papers by Manshu Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manshu Tang

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