Na Shi

3.4k citations
107 papers · 2.2k indexed · 1 hit paper · h-index 23
Topics
Pancreatitis Pathology and Treatment (28 papers)Pancreatic and Hepatic Oncology Research (13 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers)

In The Last Decade

Na Shi

97 papers receiving 2.1k citations

Hit Papers

Research on k-means Clustering Algorithm: An Improved k-m...20102026201520202010100200300400

Peers

Na Shi
Comparison fields: 5 of 184
  • Surgery 459
  • Sociology and Political Science 332
  • Molecular Biology 290
  • Information Systems and Management 220
  • Oncology 217
Replace Vural Özdemir with:
Vural Özdemir Canada
Qingpeng Zhang China
Peter Kokol Slovenia
Myungsoo Kim South Korea
Jin Ha Lee United States
Ted Smith United States
Qiuzhen Wang China
Chen Qiu China
Shu-Hao Chang Taiwan
David Hutchinson United Kingdom
Na Shi relative to Vural Özdemir Canada Vural Özdemir's profile →
Citations per field
00.5×
Vural Özdemir · 1×
Citations per year

Countries citing papers authored by Na Shi

Since Specialization
Citations

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

Fields of papers citing papers by Na Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Na Shi. A scholar is included among the top collaborators of Na Shi 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 Na Shi. Na Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 3
7 0
8 3
9 2
10 5
11 15
12 5
13 16
14 54
15 7
16 33
17 10
18 1
19
Sensitivity experiment study and its mechanism analysis of the oil reservoirs
2
20
ON PUBLIC INTEREST IN URBAN PLANNING
2

About Na Shi

Na Shi is a scholar working on Process Chemistry and Technology, Surgery and Parasitology, having authored 107 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (28 papers), Pancreatic and Hepatic Oncology Research (13 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers). The work is most often cited by research in Information Systems and Management (220 citations), Marketing (147 citations) and Parasitology (76 citations). Na Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xumin Liu, Yong Guan, Matthew Lee, Christy M.K. Cheung, Kai H. Lim, Choon Ling Sia, Qing Xia, Wei Huang, Lihui Deng and Yi Chang. Their work appears in journals such as Diabetes Care, Scientific Reports and Biological Psychiatry.

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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