Jin Cui

1.1k total citations
23 papers, 317 citations indexed

About

Jin Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Jin Cui has authored 23 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Neurology. Recurrent topics in Jin Cui's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (5 papers) and Glioma Diagnosis and Treatment (4 papers). Jin Cui is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (5 papers) and Glioma Diagnosis and Treatment (4 papers). Jin Cui collaborates with scholars based in United States, China and Germany. Jin Cui's co-authors include Maria K. Lehtinen, Huixin Xu, Frederick B. Shipley, Mark L. Andermann, Morgan L. Shannon, Neil Dani, Michael J. Holtzman, Yong Zhang, Christopher A. Naranjo and Jason Sutin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Trends in Neurosciences.

In The Last Decade

Jin Cui

21 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Cui United States 9 99 71 54 52 52 23 317
Martina Boström Sweden 10 42 0.4× 116 1.6× 74 1.4× 73 1.4× 74 1.4× 12 367
Caterina Carbonell Spain 7 137 1.4× 64 0.9× 115 2.1× 44 0.8× 48 0.9× 12 420
Krzysztof Tybor Poland 9 42 0.4× 74 1.0× 61 1.1× 17 0.3× 19 0.4× 23 334
Yongzhi Shan China 13 124 1.3× 37 0.5× 72 1.3× 87 1.7× 14 0.3× 86 518
Jennifer Childress United States 6 112 1.1× 58 0.8× 131 2.4× 31 0.6× 33 0.6× 8 390
S Hashimoto Japan 11 62 0.6× 158 2.2× 81 1.5× 22 0.4× 19 0.4× 33 386
Otfried Debus Germany 12 65 0.7× 19 0.3× 88 1.6× 82 1.6× 30 0.6× 23 411
Lara M. Fahmy United States 9 78 0.8× 34 0.5× 71 1.3× 29 0.6× 49 0.9× 17 277
Jin‐Hui Yoon South Korea 10 83 0.8× 117 1.6× 49 0.9× 22 0.4× 29 0.6× 12 315
Jesús Purroy Spain 6 45 0.5× 80 1.1× 78 1.4× 22 0.4× 28 0.5× 6 256

Countries citing papers authored by Jin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cui. A scholar is included among the top collaborators of Jin Cui 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 Jin Cui. Jin Cui 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
1.
Chen, Jie, Nan Mei, Xuanxuan Li, et al.. (2024). Assessment of hypoxia and its dynamic evolution in glioblastoma via qBOLD MRI: a comparative study with metformin treatment. European Radiology Experimental. 8(1). 134–134. 1 indexed citations
2.
Petrova, Boryana, Jin Cui, Alexander Raskind, et al.. (2024). Profiling metabolome of mouse embryonic cerebrospinal fluid following maternal immune activation. Journal of Biological Chemistry. 300(10). 107749–107749. 3 indexed citations
3.
Han, Qiu-Yue, Shan Yang, Jin Cui, et al.. (2024). A DTI-based radiomics model for predicting epidermal growth factor receptor (EGFR) amplification in adult IDH1-wild glioblastomas. Acta Radiologica. 65(10). 1291–1299. 1 indexed citations
4.
Subramanian, Harry, Tal Zeevi, Lawrence H. Staib, et al.. (2022). Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis. Frontiers in Oncology. 12. 856231–856231. 10 indexed citations
5.
Staib, Lawrence H., Harry Subramanian, Tal Zeevi, et al.. (2022). Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review. Cancers. 14(6). 1369–1369. 24 indexed citations
6.
Marks, Asher, Jin Cui, Armine Darbinyan, et al.. (2021). Topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas. Scientific Reports. 11(1). 14377–14377. 2 indexed citations
7.
Xu, Huixin, Ryann M. Fame, Cameron Sadegh, et al.. (2021). Choroid plexus NKCC1 mediates cerebrospinal fluid clearance during mouse early postnatal development. Nature Communications. 12(1). 447–447. 75 indexed citations
8.
Cui, Jin, Huixin Xu, & Maria K. Lehtinen. (2021). Macrophages on the margin: choroid plexus immune responses. Trends in Neurosciences. 44(11). 864–875. 63 indexed citations
9.
Cui, Jin, Yi Shi, Jinsong Wang, et al.. (2021). Comparison of the Bifurcated Graft Reconstruction and Aortic Stump Closure in Open Surgical Conversion After Endovascular Aneurysm Repair. Annals of Vascular Surgery. 82. 212–220. 1 indexed citations
10.
Subramanian, Harry, Tal Zeevi, Seyedmehdi Payabvash, et al.. (2021). OTHR-12. The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review. Neuro-Oncology Advances. 3(Supplement_3). iii17–iii17.
11.
Subramanian, Harry, Tal Zeevi, MingDe Lin, et al.. (2021). NIMG-23. MACHINE LEARNING METHODS IN GLIOMA GRADE PREDICTION: A SYSTEMATIC REVIEW. Neuro-Oncology. 23(Supplement_6). vi133–vi133. 2 indexed citations
12.
Subramanian, Harry, Tal Zeevi, MingDe Lin, et al.. (2021). NIMG-35. MACHINE LEARNING GLIOMA GRADE PREDICTION LITERATURE: A TRIPOD ANALYSIS OF REPORTING QUALITY. Neuro-Oncology. 23(Supplement_6). vi136–vi136.
13.
Subramanian, Harry, MingDe Lin, Khaled Bousabarah, et al.. (2021). NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW. Neuro-Oncology. 23(Supplement_6). vi145–vi145. 1 indexed citations
14.
Cui, Jin, Frederick B. Shipley, Morgan L. Shannon, et al.. (2020). Inflammation of the Embryonic Choroid Plexus Barrier following Maternal Immune Activation. Developmental Cell. 55(5). 617–628.e6. 74 indexed citations
15.
Yin, Shengli, Jin Cui, Zuojun Hu, et al.. (2020). Experience in the diagnosis and treatment of intravenous leiomyomatosis involving the inferior vena cava and/or right cardiac chambers. Journal of Vascular Surgery Venous and Lymphatic Disorders. 9(2). 452–460. 11 indexed citations
16.
17.
Cui, Jin, et al.. (2017). Hybrid operation versus the chimney technique for reconstruction of a single aortic arch branch: a single-centre experience. Interactive Cardiovascular and Thoracic Surgery. 25(4). 575–581. 10 indexed citations
18.
Shi, Yawei, Mian Wang, Jin Cui, et al.. (2017). Chimney Technique in Supra-Aortic Branch Reconstruction in China: A Systematic and Critical Review of Chinese Published Experience. Vascular and Endovascular Surgery. 51(6). 429–435. 14 indexed citations
19.
Yang, Yi‐Hsin, et al.. (2007). Diagnostic potential of serum protein pattern in Type 2 diabetic nephropathy. Diabetic Medicine. 24(12). 1386–1392. 16 indexed citations
20.
Taniguchi, Mitsutaka, Haruhiko Sato, Jin Cui, & Tetsu Kawano. (1997). [A novel immune system].. PubMed. 46(12). 1216–23. 1 indexed citations

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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