Hongjiang Li

657 citations
45 papers · 413 indexed · h-index 13

Hongjiang Li

42 papers receiving 412 citations

Peers

Hongjiang Li
Comparison fields: 5 of 66
  • Cancer Research 132
  • Oncology 145
  • Pathology and Forensic Medicine 67
  • Molecular Biology 170
  • Immunology 42
Replace Mahrukh M. Hussain with:
Mahrukh M. Hussain United States
Kai Yan China
Astrid Grottke Germany
Tianjie Pu China
Ralitsa R. Madsen United Kingdom
Tomás G. Lyons United States
Min Soo Kim South Korea
Tian Ding China
Lubna Qamar United States
Hongjiang Li relative to Mahrukh M. Hussain United States Mahrukh M. Hussain's profile →
Citations per field
00.5×10×15×21.3×
Mahrukh M. Hussain · 1×
Citations per year

Countries citing papers authored by Hongjiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongjiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202423
3 20236
4 20222
5 20217
6 20217
7 20191
8 201920
9 201814
10
[Expressions and Clinical Significance of Autophagy-related Genes ATG2B, ATG4D, ATG9B in Breast Carcinoma].
20164
11 20165
12 20165
13 20148
14 201419
15 201312
16
[Clinical features and prognosis analysis of different breast cancer molecular subtypes].
20113
17
Diagnostic value of molybdenum target X-ray in breast cancer.
20091
18
The effects of rhubarb on the function of mitochondria of hepatic cell in posttrauma sepsis
20023
19
Clinical study of rhubarb against systemic inflammatory response in critical illness
20001
20
Effects of rhubarb on gastrointestinal perfusion in critical illness
19991

About Hongjiang Li

Hongjiang Li is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 45 papers that have together received 413 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Cancer Cells and Metastasis (6 papers), Breast Lesions and Carcinomas (6 papers), HER2/EGFR in Cancer Research (5 papers), Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (132 citations), Oncology (145 citations) and Pathology and Forensic Medicine (67 citations). Hongjiang Li has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Qing Lv, Xiaoqin Yang, Xiaomin Li, Xiaodong Wang, Yujuan Chen, Jingqiang Zhu, Bing Wei, Jing Wang, Xuejuan Liu and Ying Tang. Their work appears in journals such as Cancer Management and Research, Experimental Cell Research, Scientific Reports, Journal of Surgical Research and Journal of Evidence-Based Medicine.

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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