Haijing Jin

4.3k citations
23 papers · 1.9k indexed · h-index 19
Topics
Autophagy in Disease and Therapy (5 papers)Mitochondrial Function and Pathology (4 papers)Cell death mechanisms and regulation (4 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaNature Biotechnology
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Haijing Jin

21 papers receiving 1.9k citations

Peers

Haijing Jin
Comparison fields: 5 of 103
  • Molecular Biology 1.2k
  • Oncology 499
  • Epidemiology 433
  • Cancer Research 309
  • Cell Biology 190
Replace Navin Viswakarma with:
Navin Viswakarma United States
Angelina V. Vaseva United States
Chiara Agnoletto Italy
Helin Vakifahmetoglu-Norberg Sweden
Cesáreo Roncero Spain
Antonis S. Zervos United States
Xin Pan China
Tetsuya Saito Japan
Joslyn K. Brunelle United States
Haijing Jin relative to Navin Viswakarma United States Navin Viswakarma's profile →
Citations per field
00.5×1.5×1.8×
Navin Viswakarma · 1×
Citations per year

Countries citing papers authored by Haijing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Haijing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Haijing Jin. A scholar is included among the top collaborators of Haijing Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haijing Jin. Haijing Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 0
3 82
4 46
5
Development and Validation of the Dropout Intention Scale for Chinese Students Studying in Korean Universities
0
6 41
7 2
8 75
9 15
10 169
11 152
12 118
13 44
14 32
15 205
16 64
17 58
18 50
19 29
20 494

About Haijing Jin

Haijing Jin is a scholar working on Leadership and Management, Cancer Research and Geriatrics and Gerontology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Mitochondrial Function and Pathology (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Cancer Research (309 citations), Oncology (499 citations) and Molecular Biology (1.2k citations). Haijing Jin has collaborated with scholars based in China, United States and France. Frequent co-authors include Quan Chen, Xiaohui Wang, Zhandong Liu, Yushan Zhu, Lei Du, Youyong Lu, Maryam Mehrpour, Biyun Ni, Hongyi Wang and Jingyu Zhang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Biotechnology.

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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