Xiaoyan Jin

3.7k total citations · 2 hit papers
80 papers, 2.1k citations indexed

About

Xiaoyan Jin is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xiaoyan Jin has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Cancer Research and 11 papers in Physiology. Recurrent topics in Xiaoyan Jin's work include Cancer-related molecular mechanisms research (11 papers), Spaceflight effects on biology (7 papers) and Circular RNAs in diseases (7 papers). Xiaoyan Jin is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Spaceflight effects on biology (7 papers) and Circular RNAs in diseases (7 papers). Xiaoyan Jin collaborates with scholars based in China, United States and Singapore. Xiaoyan Jin's co-authors include Yingxian Li, Yongsheng Li, Wen Gu, Xia Li, Juan Xu, Shukuan Ling, Junyi Li, Guohui Zhong, Dingsheng Zhao and Weijia Sun and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Xiaoyan Jin

75 papers receiving 2.1k citations

Hit Papers

Pan-cancer characterization of immune-related lncRNAs ide... 2019 2026 2021 2023 2020 2019 100 200 300

Peers

Xiaoyan Jin
Comparison fields: 5 of 123
  • Molecular Biology 1.1k
  • Cancer Research 599
  • Physiology 439
  • Immunology 376
  • Pulmonary and Respiratory Medicine 281
Replace Qing Xu with:
Qing Xu China
Dong‐Sup Lee South Korea
Stavroula Baritaki Greece
Anthony W. Ashton United States
Shiming Chen China
Elvira Crescenzi Italy
Antonella Naldini Italy
Salvador Macip United Kingdom
Gabriella Misso Italy
Peter Ellinghaus Germany
Qing Xu China View profile →
Citations per field, relative to Xiaoyan Jin
Xiaoyan Jin · 1×
Citations per year, relative to Xiaoyan Jin
Xiaoyan Jin · 1×

Countries citing papers authored by Xiaoyan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Jin. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Jin. Xiaoyan 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
# Work Indexed citations
1 0
2 6
3 0
4 118
5 5
6 5
7 42
8
A Deep Learning Pipeline for Accurate Differential Diagnosis between Novel Coronavirus Pneumonia and Influenza Pneumonia
0
9 23
10 7
11 15
12 29
13 24
14 18
15 10
16 26
17 26
18 16
19 15
20 1

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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