Shuo Mu

407 citations
20 papers · 174 · h-index 6

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 2
    • PARP inhibition in cancer therapy 2
    • Neutropenia and Cancer Infections 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Shuo Mu

16 papers receiving 173 citations

Peers

Shuo Mu
Comparison fields: 5 of 54
  • Ecology, Evolution, Behavior and Systematics 55
  • Cancer Research 38
  • Oncology 51
  • Otorhinolaryngology 6
  • Pathology and Forensic Medicine 21
Replace Enrique Garcia-Rivera with:
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Takako Serizawa Japan
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Christoph Eckert Germany
Nicole Stowell United States
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Tasoula Touloumenidou Greece
Melissa A. Wilson Sayres United States
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Shuo Mu relative to Enrique Garcia-Rivera United States Enrique Garcia-Rivera's profile →
Citations per field
00.5×3.4×
Enrique Garcia-Rivera · 1×
Citations per year

Countries citing papers authored by Shuo Mu

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuo Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shuo Mu Line = papers co-authored together Shuo Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201736
2 201936
3 201436
4 201633
5
[Genetic diversity of Hippophae rhamnoides L. sub-populations on loess plateau under effects of varying meteorologic conditions].
200810
6 20189
7 20173
8 20152
9 20182
10 20241
11 20191
12 20181
13 20171
14 20251
15 20181
16 20191
17 20250
18 20250
19 20250
20 20180

About Shuo Mu

Shuo Mu is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 174 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers), Bat Biology and Ecology Studies (3 papers), Colorectal Cancer Treatments and Studies (2 papers), PARP inhibition in cancer therapy (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (55 citations), Cancer Research (38 citations), Oncology (51 citations), Otorhinolaryngology (6 citations) and Pathology and Forensic Medicine (21 citations). Shuo Mu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Ming Lei, Yi-Hsuan Pan, Dong Dong, Shuyi Zhang, Guantao Zheng, Kui Lin, Erli Pang, Gung‐Wei Chirn, Kai Wang and Huanwei Chen. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, PLoS ONE, Cancer and Cancer Research.

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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