Sha Shi

447 citations
21 papers · 326 · h-index 9

Impact in

Papers in

Sha Shi

20 papers receiving 321 citations

Peers

Sha Shi
Comparison fields: 5 of 88
  • Earth-Surface Processes 46
  • Soil Science 29
  • Plant Science 85
  • Pathology and Forensic Medicine 35
  • Developmental Neuroscience 8
Replace Xin Wei with:
Xin Wei China
Minmin Cao China
James T. Powell Qatar
Maximiliano Ortiz United States
Richard D. Spence United States
Jingxia Gao China
Se-In Lee South Korea
† Le United States
Natalia N. Bogdanova United States
Sha Shi relative to Xin Wei China Xin Wei's profile →
Citations per field
00.5×5×11.5×
Xin Wei · 1×
Citations per year

Countries citing papers authored by Sha Shi

Since Specialization
Citations

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

Fields of papers citing papers by Sha Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201454
2 202054
3 202431
4 202129
5 201929
6 201629
7 201826
8 202213
9 201911
10 20199
11 20189
12 20198
13 20177
14 20206
15
Dynamic Change of the Aboveground Biomass and Net Primary Productivity in the Areas of Beijing and Tianjin Sand Source Control Project
20103
16
Study on the Daily Temperature Change on the Different Ground Surfaces and the Plant Surfaces in the Shapotou Region
20042
17 20112
18 20252
19
The Effect on Different Vegetation Structure to Soil Water Contents in Shapoto Region
20041
20 20251

About Sha Shi

Sha Shi is a scholar working on Plant Science, Earth-Surface Processes, Global and Planetary Change, Oncology and Cancer Research, having authored 21 papers that have together received 326 indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (3 papers), Postharvest Quality and Shelf Life Management (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Plant Ecology and Soil Science (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Forest, Soil, and Plant Ecology in China (2 papers), Aeolian processes and effects (2 papers) and Environmental and Agricultural Sciences (2 papers). The work is most often cited by research in Earth-Surface Processes (46 citations), Soil Science (29 citations), Plant Science (85 citations), Pathology and Forensic Medicine (35 citations) and Developmental Neuroscience (8 citations). Sha Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Cheng, Jinchao Feng, Na Zhou, Chunlai Zhang, Xiaoxu Wu, Xueyong Zou, Xiaojing Xu, Yijun Zhou, Yiying Liu and Xi Chen. Their work appears in journals such as Frontiers in Neuroscience, Trees, Cancer Letters, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Fitoterapia.

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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