Ji Jiang

192 papers receiving 2.2k citations

Peers

Ji Jiang
Comparison fields: 5 of 124
  • Anesthesiology and Pain Medicine 110
  • Pharmacology 181
  • Analytical Chemistry 194
  • Reproductive Medicine 120
  • Oncology 364
Replace Ching‐Yao Yang with:
Ching‐Yao Yang Taiwan
Roberto Padrini Italy
Makiko Shimizu Japan
Susan Goodin United States
Wesley Tanaka United States
G. Wynne Aherne United Kingdom
Carla Minoia Italy
Ken‐ichi Miyamoto Japan
E. Doyle United Kingdom
David A. Blake United States
Ji Jiang relative to Ching‐Yao Yang Taiwan Ching‐Yao Yang's profile →
Citations per field
00.5×4.8×
Ching‐Yao Yang · 1×
Citations per year

Countries citing papers authored by Ji Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011220
2 202084
3 201670
4 201865
5 200457
6 200850
7 200949
8 201849
9 201248
10 201643
11 200240
12 201040
13 201733
14
Phase I trial of icotinib, a novel epidermal growth factor receptor tyrosine kinase inhibitor, in Chinese patients with non-small cell lung cancer.
201131
15 200930
16 200429
17 201228
18 201028
19 201828
20 201227

About Ji Jiang

Ji Jiang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Analytical Chemistry and Pharmacology, having authored 197 papers that have together received 2.3k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (16 papers), Lung Cancer Treatments and Mutations (14 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Analytical Chemistry and Chromatography (13 papers), Cancer therapeutics and mechanisms (11 papers), Lung Cancer Research Studies (10 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (110 citations), Pharmacology (181 citations), Analytical Chemistry (194 citations), Reproductive Medicine (120 citations) and Oncology (364 citations). Ji Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Pei Hu, Qian Zhao, Dongyang Liu, Hongyun Wang, Hongyun Wang, Sheng Feng, Jing Lu, Wen Zhong, Xia Chen and Fenlai Tan. Their work appears in journals such as Journal of Chromatography B, Journal of Pharmaceutical and Biomedical Analysis, Bioanalysis, Biomedical Chromatography and The Journal of Clinical Pharmacology.

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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