Hong Qin

3.5k citations
98 papers · 2.5k indexed · 1 hit paper · h-index 30

Hong Qin

95 papers receiving 2.5k citations

Hit Papers

CD36-mediated metabolic crosstalk between tumor cells and...201202220262023202450100150200

Peers

Hong Qin
Comparison fields: 5 of 163
  • Biochemistry 151
  • Cancer Research 368
  • Industrial and Manufacturing Engineering 182
  • Water Science and Technology 195
  • Molecular Biology 860
Replace Abilash Valsala Gopalakrishnan with:
Abilash Valsala Gopalakrishnan India
Jingjing Zhang China
Javed Ahmad India
Haiyan Yu China
Jie Gao China
Wei Cao China
Dandan Wang China
Yuan Seng Wu Malaysia
Mi Kyung Kim South Korea
Zhenzhen Zhang China
Hong Qin relative to Abilash Valsala Gopalakrishnan India Abilash Valsala Gopalakrishnan's profile →
Citations per field
00.5×10×16×
Abilash Valsala Gopalakrishnan · 1×
Citations per year

Countries citing papers authored by Hong Qin

Since Specialization
Citations

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

Fields of papers citing papers by Hong Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20242
4 20242
5 202330
6 20231
7 20234
8 202229
9 202210
10 20226
11 202214
12
CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasisbreakdown →
2022201
13
MicroRNA-147b alleviates inflammation and apoptosis in acute lung injury via inhibition of p38 MAPK signaling pathway
20214
14 202125
15 201942
16 201710
17 201514
18 201430
19
Epidemiological study on simple obesity of preschool children in Nanjing in 2006
20101
20 19998

About Hong Qin

Hong Qin is a scholar working on Cancer Research, Industrial and Manufacturing Engineering and Geriatrics and Gerontology, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (16 papers), Extraction and Separation Processes (15 papers), Adipose Tissue and Metabolism (8 papers), Recycling and Waste Management Techniques (7 papers), Cancer, Lipids, and Metabolism (7 papers), Child Nutrition and Water Access (6 papers), Sesame and Sesamin Research (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Biochemistry (151 citations), Cancer Research (368 citations) and Industrial and Manufacturing Engineering (182 citations). Hong Qin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xueyi Guo, Jihua Chen, Qinghua Tian, Lina Yang, Xiaoqing Luo, Enze Zheng, Xiong Z. Ruan, Han Zeng, Yuan Cao and Lei Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

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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