Jingjing Cui

3.2k citations
132 papers · 2.3k · h-index 29

Impact in

Papers in

Jingjing Cui

121 papers receiving 2.3k citations

Peers

Jingjing Cui
Comparison fields: 5 of 156
  • Radiology, Nuclear Medicine and Imaging 466
  • Hepatology 155
  • Pulmonary and Respiratory Medicine 300
  • Cancer Research 126
  • Geriatrics and Gerontology 26
Replace David Kozono with:
David Kozono United States
Masaaki Nakahara Japan
Eva Forssell‐Aronsson Sweden
Min Tang China
Takashi Kudo Japan
Xiuping Zhang China
Liyuan Zhang China
Jingjing Cui relative to David Kozono United States David Kozono's profile →
Citations per field
00.5×6.7×
David Kozono · 1×
Citations per year

Countries citing papers authored by Jingjing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingjing Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingjing Cui Line = papers co-authored together Jingjing Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 2013107
3 201983
4 201982
5 201972
6 201664
7 202062
8 201862
9 201657
10 201954
11 202054
12 202051
13 201849
14
Evaluation of CCND1 amplification and CyclinD1 expression: diffuse and strong staining of CyclinD1 could have same predictive roles as CCND1 amplification in ER positive breast cancers.
201646
15 202245
16 202043
17 201842
18 201039
19 201637
20 202036

About Jingjing Cui

Jingjing Cui is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 132 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Geology and Paleoclimatology Research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer-related molecular mechanisms research (6 papers), Methane Hydrates and Related Phenomena (6 papers), Geochemistry and Elemental Analysis (5 papers), Molecular Sensors and Ion Detection (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (466 citations), Hepatology (155 citations), Pulmonary and Respiratory Medicine (300 citations), Cancer Research (126 citations) and Geriatrics and Gerontology (26 citations). Jingjing Cui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Edwin A. Lewis, Vu Le, Guangjie Yang, Pei Nie, Dong Wang, Xiaojuan Wu, Junhong Qian, Qingwei Song, Lei Yan and Jingjun Wu. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Frontiers in Oncology, European Radiology, Academic Radiology and Frontiers in Medicine.

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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