Xingliang Jin

686 citations
25 papers · 516 indexed · h-index 14
Topics
Reproductive Biology and Fertility (12 papers)Pluripotent Stem Cells Research (8 papers)Cancer-related Molecular Pathways (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEDevelopment
Partner nations
AustraliaChinaHong Kong

In The Last Decade

Xingliang Jin

23 papers receiving 511 citations

Peers

Xingliang Jin
Comparison fields: 5 of 87
  • Molecular Biology 238
  • Public Health, Environmental and Occupational Health 171
  • Reproductive Medicine 123
  • Immunology 53
  • Epidemiology 46
Replace Raquel L. Bernardino with:
Raquel L. Bernardino Portugal
Keshab Kumar Karna South Korea
Bo Ram Choi South Korea
Min Wei China
Yuan Zheng China
Mahshid Hodjat Iran
Amany Mohamed Shalaby Egypt
Sana Khan United States
Branka Šošić‐Jurjević Serbia
Omid Farshad Iran
Xingliang Jin relative to Raquel L. Bernardino Portugal Raquel L. Bernardino's profile →
Citations per field
00.5×2.5×
Raquel L. Bernardino · 1×
Citations per year

Countries citing papers authored by Xingliang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xingliang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingliang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xingliang Jin. A scholar is included among the top collaborators of Xingliang 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 Xingliang Jin. Xingliang 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 2
2 2
3 44
4 12
5 0
6 26
7 79
8 5
9 23
10 1
11 27
12 21
13 11
14 11
15 34
16 30
17 11
18 23
19 40
20 14

About Xingliang Jin

Xingliang Jin is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 25 papers that have together received 516 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Pluripotent Stem Cells Research (8 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Reproductive Medicine (123 citations), Public Health, Environmental and Occupational Health (171 citations) and Biological Psychiatry (12 citations). Xingliang Jin has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Chris O’Neill, Xianqin Qu, Jie Peng, Yi Tan, Linda Xiao, Hugh D. Morgan, Vashe Chandrakanthan, C. O’Neill, Xueqiong Zhu and Yiguang Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Development.

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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