Yan Jin

3.0k citations
65 papers · 1.7k indexed · h-index 22
Topics
MicroRNA in disease regulation (12 papers)Cancer-related molecular mechanisms research (12 papers)Gastric Cancer Management and Outcomes (5 papers)

In The Last Decade

Yan Jin

61 papers receiving 1.6k citations

Peers

Yan Jin
Comparison fields: 5 of 136
  • Molecular Biology 805
  • Cancer Research 535
  • Clinical Psychology 247
  • Surgery 124
  • Oncology 104
Replace Lingling Dai with:
Lingling Dai China
Tingting Zhu China
Jessica Mwinyi Sweden
Guanghui Deng China
Jingjing Jiang China
Mojtaba Shafiee Iran
Xiangdong Wang China
Le Ma China
Jessica A. Williams United States
Yan Jin relative to Lingling Dai China Lingling Dai's profile →
Citations per field
00.5×2.9×
Lingling Dai · 1×
Citations per year

Countries citing papers authored by Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Jin. A scholar is included among the top collaborators of Yan 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 Yan Jin. Yan 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 10
2 3
3 1
4 12
5 38
6 21
7 18
8 6
9 141
10 9
11 20
12 12
13 166
14 17
15 38
16 67
17 13
18
[Retrospective analysis of 4 cases of the so-called blastic NK-cell lymphoma, with reference to the 2008 WHO classification of tumours of haematopoietic and lymphoid tissues].
4
19
The Present State and Future Development of Open Access Publishing for Journals Sponsored by China Association for Science and Technology
1
20 28

About Yan Jin

Yan Jin is a scholar working on Cancer Research, Horticulture and Molecular Biology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Cancer Research (535 citations), Horticulture (21 citations) and Emergency Medical Services (96 citations). Yan Jin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Guoxin Zhang, Dong Wei, Wenpeng Cai, Yini Dang, Weizhi Liu, Youxin Jin, Botao Zhao, Jiali Wei, Yanli Li and Zhongliang Ma. Their work appears in journals such as PLoS ONE, The American Journal of Medicine and Journal of Chromatography A.

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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