Linong Ji

629 citations
23 papers · 390 indexed · h-index 9
Topics
Diabetes Treatment and Management (9 papers)Diabetes Management and Research (5 papers)Blood Pressure and Hypertension Studies (4 papers)

In The Last Decade

Linong Ji

19 papers receiving 380 citations

Peers

Linong Ji
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 175
  • Infectious Diseases 70
  • Physiology 66
  • Cardiology and Cardiovascular Medicine 61
  • Surgery 52
Replace Munekazu Ryuzaki with:
Munekazu Ryuzaki Japan
Doron Schneider United States
Abdullah M. Alguwaihes Saudi Arabia
Osamah M. Alfayez Saudi Arabia
David E. Kloecker United Kingdom
Sushil Jindal India
V. Tony Chetty Canada
Ester Yeoh Singapore
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Anwar A. Jammah Saudi Arabia
Linong Ji relative to Munekazu Ryuzaki Japan Munekazu Ryuzaki's profile →
Citations per field
00.5×2.9×
Munekazu Ryuzaki · 1×
Citations per year

Countries citing papers authored by Linong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Linong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Linong Ji. A scholar is included among the top collaborators of Linong Ji 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 Linong Ji. Linong Ji 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 4
4 0
5 8
6 7
7 14
8 1
9 47
10 12
11 0
12 2
13 9
14 8
15 24
16 6
17 36
18 29
19 8
20
[The role of urotensin II gene in the genetic susceptibility to type 2 diabetes in Chinese population].
19

About Linong Ji

Linong Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (5 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Infectious Diseases (70 citations) and Endocrine and Autonomic Systems (22 citations). Linong Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xueyao Han, Clare Goyder, Stefano Del Prato, Jamie Hartmann‐Boyce, Kamal R Mahtani, Ronan Roussel, John B. Buse, David Nunan, Elizabeth Morris and Kamlesh Khunti. Their work appears in journals such as PLoS ONE, Diabetes Care and Diabetes.

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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