Tianjiao Wei

901 total citations · 1 hit paper
28 papers, 634 citations indexed

About

Tianjiao Wei is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Tianjiao Wei has authored 28 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 13 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Molecular Biology. Recurrent topics in Tianjiao Wei's work include Pancreatic function and diabetes (15 papers), Diabetes Treatment and Management (9 papers) and Diabetes Management and Research (7 papers). Tianjiao Wei is often cited by papers focused on Pancreatic function and diabetes (15 papers), Diabetes Treatment and Management (9 papers) and Diabetes Management and Research (7 papers). Tianjiao Wei collaborates with scholars based in China, United States and Germany. Tianjiao Wei's co-authors include Tianpei Hong, Rui Wei, Xiaona Cui, Jin Yang, Ming Tao, Kun Yang, Li Xia, Wenzhe Si, Shan Lang and Jin Yang and has published in prestigious journals such as Diabetes, Diabetologia and Molecular Cancer.

In The Last Decade

Tianjiao Wei

28 papers receiving 629 citations

Hit Papers

Positive feedback regulation between glycolysis and histo... 2024 2026 2025 2024 50 100 150

Peers

Tianjiao Wei
Comparison fields: 5 of 83
  • Molecular Biology 240
  • Surgery 217
  • Endocrinology, Diabetes and Metabolism 198
  • Physiology 99
  • Genetics 97
Replace Nobuyo Maeda with:
Nobuyo Maeda United States
Hiromi Yokota‐Hashimoto Japan
Francesco Raggi Italy
Erwan Thouënnon France
Hélène Fournier Canada
Dingfeng Li United States
Andrea Köhler Austria
Robin L. Mozell United States
Donghe Han China
Jana Mahadevan United States
Nobuyo Maeda United States View profile →
Citations per field, relative to Tianjiao Wei
Tianjiao Wei · 1×
Citations per year, relative to Tianjiao Wei
Tianjiao Wei · 1×

Countries citing papers authored by Tianjiao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Tianjiao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianjiao Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Tianjiao Wei. A scholar is included among the top collaborators of Tianjiao Wei 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 Tianjiao Wei. Tianjiao Wei 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
# Work Indexed citations
1 1
2 1
3 1
4 1
5 26
6 19
7 29
8 25
9 8
10 5
11 25
12 18
13 5
14 19
15 17
16 73
17 5
18 25
19 19
20 20

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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