Weitong Mu

3.8k total citations · 2 hit papers
8 papers, 3.2k citations indexed

About

Weitong Mu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, Weitong Mu has authored 8 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Weitong Mu's work include Neuroscience and Neuropharmacology Research (5 papers), GABA and Rice Research (4 papers) and RNA Interference and Gene Delivery (3 papers). Weitong Mu is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), GABA and Rice Research (4 papers) and RNA Interference and Gene Delivery (3 papers). Weitong Mu collaborates with scholars based in United States, Canada and Germany. Weitong Mu's co-authors include Solomon H. Snyder, Rui Wang, Asif K. Mustafa, Guangdong Yang, Shengming Zhang, Kun Cao, Jiansong Qi, Wei Yang, Lingyun Wu and Qinghe Meng and has published in prestigious journals such as Science, Journal of Neuroscience and Science Signaling.

In The Last Decade

Weitong Mu

8 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

H ₂ S as a Physiologic Vasorelaxant: Hypertension in Mice with Deletion of Cystathionine γ-Lyase

2008 2.0k citations Guangdong Yang, Lingyun Wu et al. Science profile →
H ₂ S Signals Through Protein S-Sulfhydration

2009 1.0k citations Asif K. Mustafa, Moataz M. Gadalla et al. Science Signaling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weitong Mu United States	8	2.5k	942	699	603	441	8	3.2k
Norihiro Shibuya Japan	18	3.0k 1.2×	982 1.0×	556 0.8×	672 1.1×	720 1.6×	30	3.5k
Moataz M. Gadalla United States	13	2.2k 0.9×	1.3k 1.3×	645 0.9×	822 1.4×	217 0.5×	16	3.3k
Jiansong Qi Canada	14	1.7k 0.7×	678 0.7×	521 0.7×	406 0.7×	411 0.9×	22	2.5k
Katalin Módis United States	28	2.8k 1.1×	1.4k 1.5×	776 1.1×	563 0.9×	248 0.6×	55	4.2k
Xinggui Shen United States	28	1.9k 0.7×	834 0.9×	643 0.9×	446 0.7×	239 0.5×	52	2.9k
Ömer Kabil United States	25	2.6k 1.0×	1.3k 1.4×	450 0.6×	485 0.8×	618 1.4×	35	3.5k
Qinghe Meng China	5	1.7k 0.7×	470 0.5×	488 0.7×	407 0.7×	407 0.9×	10	2.2k
Asif K. Mustafa United States	19	4.2k 1.6×	1.9k 2.0×	1.2k 1.7×	876 1.5×	520 1.2×	31	5.6k
Shengming Zhang China	11	1.7k 0.7×	485 0.5×	496 0.7×	403 0.7×	410 0.9×	37	2.4k
Mark E. Wood United Kingdom	32	1.7k 0.7×	961 1.0×	585 0.8×	430 0.7×	82 0.2×	103	3.2k

Countries citing papers authored by Weitong Mu

Since Specialization

Citations

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

Fields of papers citing papers by Weitong Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weitong Mu

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

8 of 8 papers shown

1.

Mustafa, Asif K., Moataz M. Gadalla, Nilkantha Sen, et al.. (2009). H ₂ S Signals Through Protein S-Sulfhydration. Science Signaling. 2(96). ra72–ra72. 1023 indexed citations breakdown →

2.

Yang, Guangdong, Lingyun Wu, Bo Jiang, et al.. (2008). H ₂ S as a Physiologic Vasorelaxant: Hypertension in Mice with Deletion of Cystathionine γ-Lyase. Science. 322(5901). 587–590. 2004 indexed citations breakdown →

3.

Savitt, Joseph M., et al.. (2005). Bcl-xIs Required for Proper Development of the Mouse Substantia Nigra. Journal of Neuroscience. 25(29). 6721–6728. 131 indexed citations

4.

Mu, Weitong, Qing Cheng, Jay Yang, & David R. Burt. (2002). Alternative splicing of the GABAA receptor α4 subunit creates a severely truncated mRNA. Brain Research Bulletin. 58(5). 447–454. 8 indexed citations

5.

Mu, Weitong & David R. Burt. (1999). The mouse GABAA receptor α3 subunit gene and promoter. Molecular Brain Research. 73(1-2). 172–180. 15 indexed citations

6.

Mu, Weitong & David R. Burt. (1999). Transcriptional regulation of GABAA receptor γ2 subunit gene. Molecular Brain Research. 67(1). 137–147. 28 indexed citations

7.

Cestari, Ismar N., et al.. (1998). GABAA receptor α4 subunit in DBA/2J and C57BL/6J mice. Brain Research Bulletin. 47(6). 643–647. 8 indexed citations

8.

Kamatchi, Ganesan L., et al.. (1998). The α5 subunit of the murine type A GABA receptor. Molecular Brain Research. 59(1). 84–89. 9 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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