Da Jiang

1.8k citations
34 papers · 172 · h-index 6

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 4
    • Cancer Treatment and Pharmacology 3
    • Cancer Immunotherapy and Biomarkers 2
    • Neutropenia and Cancer Infections 2
    • Lung Cancer Research Studies 2
    • Gastric Cancer Management and Outcomes 2
    • Lung Cancer Diagnosis and Treatment 2

Da Jiang

26 papers receiving 167 citations

Peers

Da Jiang
Comparison fields: 5 of 71
  • Automotive Engineering 32
  • Energy Engineering and Power Technology 5
  • Electrical and Electronic Engineering 76
  • Renewable Energy, Sustainability and the Environment 19
  • Cancer Research 17
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Juan Ao China
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Da Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Da Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 202223
3 202119
4 202018
5
[Significance on expressions of Annexin-I and its correlative gene proteins in endometrial hyperplasia, atypical hyperplasia and endometrial carcinoma].
20016
6 20216
7 20205
8 20215
9 20205
10 20194
11 20174
12 20204
13 20223
14
Positive Solutions to Singular(k,n-k) Conjugate Boundary Value Problems
20012
15 20202
16 20202
17 20202
18 20251
19
Preliminary results of intensity modulated radiation therapy for untreated nasopharyngeal carcinoma
20061
20
Cytochrome P450 and tumor
20091

About Da Jiang

Da Jiang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Immunology, having authored 34 papers that have together received 172 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Neutropenia and Cancer Infections (2 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer-related molecular mechanisms research (2 papers), Lung Cancer Research Studies (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Automotive Engineering (32 citations), Energy Engineering and Power Technology (5 citations), Electrical and Electronic Engineering (76 citations), Renewable Energy, Sustainability and the Environment (19 citations) and Cancer Research (17 citations). Da Jiang has collaborated with scholars based in China, Australia and India. Frequent co-authors include Dong Liu, Yibin Feng, Dan Zhou, Yuheng Hu, BalaAnand Muthu, Shiyu Ji, Hong Li, Yunfeng Zhang, Jing Lü and Wei Du. Their work appears in journals such as Journal of Clinical Oncology, Energies, Journal of Thoracic Oncology, Medicine and Ocean Engineering.

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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