Jiang Ji

447 citations
25 papers · 294 · h-index 9

Impact in

Papers in

Jiang Ji

22 papers receiving 275 citations

Peers

Jiang Ji
Comparison fields: 5 of 69
  • Analytical Chemistry 55
  • Immunology 41
  • Pharmacology 28
  • Pharmacology 14
  • Pulmonary and Respiratory Medicine 42
Replace Paweł K. Kunicki with:
Paweł K. Kunicki Poland
Yoon‐Jee Chae South Korea
Zuojun Li China
Chintan Patel India
Anna Siemiątkowska Poland
Tomoki Yoneyama Japan
Elisa Giocaliere Italy
Lata Kaphalia United States
Katarzyna Kosicka Poland
Kiyoshi Mihara Japan
Jiang Ji relative to Paweł K. Kunicki Poland Paweł K. Kunicki's profile →
Citations per field
00.5×3.5×
Paweł K. Kunicki · 1×
Citations per year

Countries citing papers authored by Jiang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 200765
3 202017
4 201117
5 202117
6
Calcium requirements for Asian children and adolescents.
200815
7 200514
8
Smoking and risk of death due to pulmonary tuberculosis: a case-control comparison in 103 population centers in China.
200912
9 20239
10 20237
11 20217
12 20226
13 20236
14 20156
15 19995
16 20164
17 20213
18 20241
19
Countermeasures against X-ray radiation in the application of medical imaging
20111
20 20241

About Jiang Ji

Jiang Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Surgery, having authored 25 papers that have together received 294 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Hormonal Regulation and Hypertension (2 papers), Vitamin D Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Analytical Chemistry (55 citations), Immunology (41 citations), Pharmacology (28 citations), Pharmacology (14 citations) and Pulmonary and Respiratory Medicine (42 citations). Jiang Ji has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Pei Hu, Xiaoyan Zhang, Ying Zhao, Shun Yang, Nobuko Matsushima, Dongyang Liu, Xiao‐Ming Li, M.J. Humphries, Xin Du and Heather J. Finlay. Their work appears in journals such as Frontiers in Immunology, Bioorganic & Medicinal Chemistry Letters, BMC Cardiovascular Disorders, Thrombosis Research and ESMO Open.

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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