Meng Sha

75 papers receiving 2.6k citations

Hit Papers

Rational multienzyme architecture design with iMARS 2025 · 15 citations
15202020262022202450010001.5k

Peers

Meng Sha
Comparison fields: 5 of 192
  • Modeling and Simulation 341
  • Infectious Diseases 714
  • General Dentistry 67
  • Clinical Psychology 413
  • Neurology 274
Replace Guangfu Jin with:
Guangfu Jin China
Chorh Chuan Tan Singapore
Mohamad Amin Pourhoseingholi Iran
Parham Habibzadeh Iran
Jinjun Ran China
Amy Ming‐Fang Yen Taiwan
Qifang Bi United States
Rafdzah Ahmad Zaki Malaysia
Meng Sha relative to Guangfu Jin China Guangfu Jin's profile →
Citations per field
00.5×3.2×
Guangfu Jin · 1×
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 80 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 →
20201550
2 2011220
3 2010145
4
A biodiversity review of China
199665
5
Selective autophagy in cancer: mechanisms, therapeutic implications, and future perspectives
Hit paper breakdown →
202461
6 201845
7 202044
8 201740
9 200423
10 201923
11 201022
12 201521
13 201520
14 200820
15 202020
16 201819
17 201618
18 201917
19 201116
20 202016

About Meng Sha

Meng Sha is a scholar working on Hepatology, Critical Care and Intensive Care Medicine, Epidemiology, Surgery and Oncology, having authored 80 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Gallbladder and Bile Duct Disorders (5 papers), Liver Disease and Transplantation (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Modeling and Simulation (341 citations), Infectious Diseases (714 citations), General Dentistry (67 citations), Clinical Psychology (413 citations) and Neurology (274 citations). Meng Sha has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Huan Zhou, Sean Sylvia, Scott Rozelle, Hein Raat, Sasmita Poudel Adhikari, Chang Sun, Vanessa Didelez, Nuala A. Sheehan, Seogsong Jeong and Qiang Xia. Their work appears in journals such as Hepatology International, Frontiers in Public Health, BMC Cancer, International Journal of Biological Sciences 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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