Jingjing Ye

964 citations
17 papers · 785 indexed · h-index 13
Topics
Estrogen and related hormone effects (11 papers)Genomics and Chromatin Dynamics (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jingjing Ye

17 papers receiving 770 citations

Peers

Jingjing Ye
Comparison fields: 5 of 79
  • Molecular Biology 507
  • Genetics 254
  • Oncology 214
  • Pulmonary and Respiratory Medicine 162
  • Cancer Research 107
Replace Katja Wosikowski with:
Katja Wosikowski United States
Muzaffer Cicek United States
Demetra Constantinidou United Kingdom
Steven Sugarman United States
Bojie Dai United States
Sandra E. Ghayad France
Mogens Winkel Madsen Denmark
W K Hong United States
Andrea Bandino Italy
Ilaria De Stefano Italy
Jingjing Ye relative to Katja Wosikowski United States Katja Wosikowski's profile →
Citations per field
00.5×1.5×2.3×
Katja Wosikowski · 1×
Citations per year

Countries citing papers authored by Jingjing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Ye. A scholar is included among the top collaborators of Jingjing Ye 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 Jingjing Ye. Jingjing Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 33
3 127
4 44
5
Determination of Amygdal in Prunus persical (L.) Batsch Produced in Different Areas by HPLC
1
6 44
7 28
8 26
9 15
10 10
11 12
12 33
13 70
14 274
15 20
16 23
17 20

About Jingjing Ye

Jingjing Ye is a scholar working on Genetics, Molecular Biology and Spectroscopy, having authored 17 papers that have together received 785 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Genomics and Chromatin Dynamics (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Genetics (254 citations), Oncology (214 citations) and Molecular Biology (507 citations). Jingjing Ye has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shiuan Chen, Dean B. Evans, Terence O’Reilly, Anne Boulay, Sabine Zumstein-Mecker, Heidi A. Lane, Dujin Zhou, Yate‐Ching Yuan, Ziguang Lin and Jing Chai. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

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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