Meng Sha

71 papers receiving 2.5k citations

Meng Sha's Hit Papers

Selective autophagy in cancer: mechanisms, therapeutic implications, and future perspectives 2024 · 76 citations
760+2+4Years since publication50010001.5k

Peers

Meng Sha
Comparison fields: 5 of 184
  • Modeling and Simulation 273
  • General Dentistry 66
  • Infectious Diseases 578
  • Clinical Psychology 334
  • Neurology 209
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Meng Sha relative to Muhammad Adnan Shereen China Muhammad Adnan Shereen's profile →
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Citations per year

Countries citing papers authored by Meng Sha

Since Specialization
Citations

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

Fields of papers citing papers by Meng Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng Sha, 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 Meng Sha Line = papers co-authored together Meng Sha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review
Hit paper breakdown →
20201609
2 2010146
3
Selective autophagy in cancer: mechanisms, therapeutic implications, and future perspectives
Hit paper breakdown →
202476
4
A biodiversity review of China
199670
5 201846
6 202046
7 201741
8 200425
9 201024
10 201524
11 201923
12 202023
13 201522
14 200820
15 201819
16 201618
17 201918
18 202016
19 202016
20 201716

About Meng Sha

Meng Sha is a scholar working on Surgery, Epidemiology, Artificial Intelligence, Information Systems and Oncology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (6 papers), Cloud Computing and Resource Management (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Speech and dialogue systems (3 papers), Liver Disease and Transplantation (3 papers) and Ultrasound in Clinical Applications (3 papers). The work is most often cited by research in Modeling and Simulation (273 citations), General Dentistry (66 citations), Infectious Diseases (578 citations), Clinical Psychology (334 citations) and Neurology (209 citations). Meng Sha has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Huan Zhou, Scott Rozelle, Sean Sylvia, Hein Raat, Chang Sun, Sasmita Poudel Adhikari, Nuala A. Sheehan, Vanessa Didelez, Qiang Xia and Seogsong Jeong. Their work appears in journals such as Frontiers in Oncology, Clinical and Molecular Hepatology, Hepatology International, Frontiers in Public Health and Annals of Translational Medicine.

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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