Jinling Yuan

510 total citations · 1 hit paper
12 papers, 424 citations indexed

About

Jinling Yuan is a scholar working on Molecular Biology, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jinling Yuan has authored 12 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Otorhinolaryngology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jinling Yuan's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Head and Neck Cancer Studies (4 papers) and Receptor Mechanisms and Signaling (3 papers). Jinling Yuan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Head and Neck Cancer Studies (4 papers) and Receptor Mechanisms and Signaling (3 papers). Jinling Yuan collaborates with scholars based in United States and China. Jinling Yuan's co-authors include Howard J. Worman, Günter Blobel, Spyros D. Georgatos, EA Rachmilewitz, Ramachandran Kannan, Eilat Shinar, Richard M. van Rijn, Soumen Chakraborty, Robert J. Cassell and Susruta Majumdar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The FASEB Journal.

In The Last Decade

Jinling Yuan

11 papers receiving 418 citations

Hit Papers

A lamin B receptor in the nuclear envelope. 1988 2026 2000 2013 1988 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A lamin B receptor in the nuclear envelope.
    1988 318 citations Howard J. Worman, Jinling Yuan et al. Proceedings of the National Academy of Sciences profile →

Peers

Jinling Yuan
Cristina Ramondetti Italy
Zhenhua Sui China
Rose Nganga United States
Tongbin Wu United States
Lauren A. Howell United States
Kaelin D. Fleming Canada
Laila Zaki Germany
Nick Hoogenraad Australia
Bruno Filoche-Rommé France
M. Carmen Lafita‐Navarro United States
Cristina Ramondetti Italy
Jinling Yuan
Citations per year, relative to Jinling Yuan Jinling Yuan (= 1×) peers Cristina Ramondetti

Countries citing papers authored by Jinling Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinling Yuan

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

All Works

12 of 12 papers shown
1.
Qiu, Lei, Yuchen Zhu, Jinling Yuan, et al.. (2025). Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinoma. Science Progress. 108(2). 352309426–352309426. 2 indexed citations
2.
Liu, Zhen, Jinling Yuan, Lei Qiu, et al.. (2025). A prognostic model for head and neck squamous cell carcinoma based on radiotherapy sensitivity insights from nasopharyngeal carcinoma. Discover Oncology. 16(1). 933–933.
3.
Zhu, Yuchen, Weilin Xu, Lei Qiu, et al.. (2025). Deep learning and pathomics analyses predict prognosis of high-grade gliomas. Frontiers in Neurology. 16. 1614678–1614678. 1 indexed citations
4.
5.
Yuan, Jinling, Kexin Shi, Guanhua Chen, et al.. (2024). A Network Meta-Analysis of the Systemic Therapies in Unresectable Head and Neck Squamous Cell Carcinoma. Cancer Control. 31. 2925673583–2925673583. 3 indexed citations
6.
Yuan, Jinling, et al.. (2022). Sex- and β-arrestin-dependent effects of kappa opioid receptor-mediated ethanol consumption. Pharmacology Biochemistry and Behavior. 216. 173377–173377. 5 indexed citations
7.
Yuan, Jinling, et al.. (2022). Exploration of beta-arrestin isoform signaling pathways in delta opioid receptor agonist-induced convulsions. Frontiers in Pharmacology. 13. 914651–914651. 5 indexed citations
8.
Chakraborty, Soumen, Balázs R. Varga, Jinling Yuan, et al.. (2021). Evaluation of Kratom Opioid Derivatives as Potential Treatment Option for Alcohol Use Disorder. Frontiers in Pharmacology. 12. 764885–764885. 22 indexed citations
9.
Yuan, Jinling, et al.. (2021). Role of β‐arrestin Isoforms in Delta Opioid Receptor Agonist‐Induced Seizures. The FASEB Journal. 35(S1). 1 indexed citations
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12.
Worman, Howard J., Jinling Yuan, Günter Blobel, & Spyros D. Georgatos. (1988). A lamin B receptor in the nuclear envelope.. Proceedings of the National Academy of Sciences. 85(22). 8531–8534. 318 indexed citations breakdown →

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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2026