Yinglong Guo

1.3k total citations · 2 hit papers
21 papers, 776 citations indexed

About

Yinglong Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Neurology. According to data from OpenAlex, Yinglong Guo has authored 21 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 5 papers in Neurology. Recurrent topics in Yinglong Guo's work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Long-Term Effects of COVID-19 (4 papers). Yinglong Guo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Long-Term Effects of COVID-19 (4 papers). Yinglong Guo collaborates with scholars based in China, United States and Singapore. Yinglong Guo's co-authors include Ken Cohen, Kevin Heath, Sarah E. Daugherty, Marc Lipsitch, Yixian Guo, Mengmeng Jiang, Xiuzhong Yao, Sheng Ren, Jie Xiao and Lisheng Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and BMJ.

In The Last Decade

Yinglong Guo

20 papers receiving 766 citations

Hit Papers

align trajectories

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.

Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study

2021 279 citations Sarah E. Daugherty, Yinglong Guo et al. BMJ profile →
Risk of persistent and new clinical sequelae among adults aged 65 years and older during the post-acute phase of SARS-CoV-2 infection: retrospective cohort study

2022 133 citations Ken Cohen, Sheng Ren et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinglong Guo China	11	367	286	215	156	148	21	776
Hailing Liu China	12	405 1.1×	208 0.7×	47 0.2×	114 0.7×	211 1.4×	29	730
Xiaoping Yin China	11	162 0.4×	292 1.0×	183 0.9×	25 0.2×	102 0.7×	32	656
Wanlin Jiang United States	8	210 0.6×	391 1.4×	36 0.2×	37 0.2×	50 0.3×	13	584
Enrico Longato Italy	12	145 0.4×	337 1.2×	48 0.2×	33 0.2×	69 0.5×	31	880
Aiguo Xu China	6	530 1.4×	364 1.3×	45 0.2×	188 1.2×	190 1.3×	19	750
Yumiao Zhao China	9	528 1.4×	365 1.3×	46 0.2×	188 1.2×	207 1.4×	15	905
Qin-Fu Xu China	7	528 1.4×	365 1.3×	44 0.2×	188 1.2×	196 1.3×	15	800
Guyi Wang China	15	167 0.5×	399 1.4×	36 0.2×	22 0.1×	81 0.5×	32	732
Liyun Luo China	9	313 0.9×	276 1.0×	35 0.2×	121 0.8×	171 1.2×	15	622

Countries citing papers authored by Yinglong Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yinglong Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglong Guo

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

All Works

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20 of 20 papers shown

Guo, Yinglong, et al.. (2025). Can multiparametric MRI clear cell likelihood scores differentiate fat-Poor AML from CcRCC in subcentimeter lesions?. Abdominal Radiology. 50(8). 3599–3606.

Xie, Tao, Yang Gao, Rongkui Luo, et al.. (2024). Increased matrix stiffness in pituitary neuroendocrine tumors invading the cavernous sinus is activated by TAFs: focus on the mechanical signatures. Endocrine. 87(1). 281–294. 1 indexed citations

Austin, George, et al.. (2023). Patterns of colorectal cancer screening and adherence rates among an average-risk population enrolled in a national health insurance provider during 2009–2018 in the United States. Preventive Medicine Reports. 36. 102497–102497. 3 indexed citations

Tang, Yifan, Tao Xie, Yinglong Guo, et al.. (2023). Analysis of Diffusion-Weighted and T2-Weighted Imaging in the Prediction of Distinct Granulation Patterns of Somatotroph Adenomas. World Neurosurgery. 182. e334–e343. 2 indexed citations

Chen, Jiejun, Yixian Guo, Yunfei Zhang, et al.. (2022). Preoperative identification of cytokeratin 19 status of hepatocellular carcinoma based on diffusion kurtosis imaging. Abdominal Radiology. 48(2). 579–589. 9 indexed citations

Guo, Yixian, Jiejun Chen, Yunfei Zhang, et al.. (2022). Differentiating Cytokeratin 19 expression of hepatocellular carcinoma by using multi-b-value diffusion-weighted MR imaging with mono-exponential, stretched exponential, intravoxel incoherent motion, diffusion kurtosis imaging and fractional order calculus models. European Journal of Radiology. 150. 110237–110237. 16 indexed citations

Hall, Taryn O., et al.. (2022). Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings, with drug-repurposing applications in COVID-19. Bioinformatics. 39(1). 3 indexed citations

Cohen, Ken, Sheng Ren, Kevin Heath, et al.. (2022). Risk of persistent and new clinical sequelae among adults aged 65 years and older during the post-acute phase of SARS-CoV-2 infection: retrospective cohort study. BMJ. 376. e068414–e068414. 133 indexed citations breakdown →

Guo, Yinglong, et al.. (2022). Patterns of initial colorectal cancer screenings after turning 50 years old and follow-up rates of colonoscopy after positive stool-based testing among the average-risk population. Current Medical Research and Opinion. 39(1). 47–61. 9 indexed citations

10.

Khera, Rohan, Yuan Lu, Yinglong Guo, et al.. (2021). Association of Angiotensin‐Converting Enzyme Inhibitors and Angiotensin Receptor Blockers With the Risk of Hospitalization and Death in Hypertensive Patients With COVID‐19. Journal of the American Heart Association. 10(13). e018086–e018086. 25 indexed citations

11.

Huang, Shuai, Feifei Tong, Dachang Bai, et al.. (2021). Regio- and enantioselective umpolung gem-difluoroallylation of hydrazones via palladium catalysis enabled by N-heterocyclic carbene ligand. Nature Communications. 12(1). 6551–6551. 31 indexed citations

12.

Ashcraft, Kristine, et al.. (2021). Unmanaged Pharmacogenomic and Drug Interaction Risk Associations with Hospital Length of Stay among Medicare Advantage Members with COVID-19: A Retrospective Cohort Study. Journal of Personalized Medicine. 11(11). 1192–1192. 6 indexed citations

13.

Daugherty, Sarah E., et al.. (2021). Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study. BMJ. 373. n1098–n1098. 279 indexed citations breakdown →

14.

Chen, Jiejun, Yixian Guo, Yinglong Guo, et al.. (2021). Preoperative assessment of microvascular invasion of hepatocellular carcinoma using non-Gaussian diffusion-weighted imaging with a fractional order calculus model: A pilot study. Magnetic Resonance Imaging. 95. 110–117. 16 indexed citations

15.

Guo, Yinglong, et al.. (2021). S323 Colorectal Cancer Screening and Adherence Rates Among Average Risk Population Enrolled in a National Health Insurance Provider During 2009-2018. The American Journal of Gastroenterology. 116(1). S140–S140. 1 indexed citations

16.

Guo, Yixian, Qiong Song, Mengmeng Jiang, et al.. (2020). Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics. Academic Radiology. 28(9). e258–e266. 62 indexed citations

17.

Jiang, Mengmeng, Yiqian Zhang, Junshen Xu, et al.. (2019). Assessing EGFR gene mutation status in non-small cell lung cancer with imaging features from PET/CT. Nuclear Medicine Communications. 40(8). 842–849. 33 indexed citations

18.

Jiang, Mengmeng, Yinglong Guo, Yixian Guo, et al.. (2019). Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result. Academic Radiology. 27(2). 171–179. 98 indexed citations

19.

Sun, Haitao, Shilong Zhang, Kai Liu, et al.. (2018). MRI‐based nomogram estimates the risk of recurrence of primary nonmetastatic pancreatic neuroendocrine tumors after curative resection. Journal of Magnetic Resonance Imaging. 50(2). 397–409. 15 indexed citations

20.

Guo, Yinglong, et al.. (2016). Nitidine chloride suppresses epithelial-to-mesenchymal transition in osteosarcoma cell migration and invasion through Akt/GSK-3β/Snail signaling pathway. Oncology Reports. 36(2). 1023–1029. 29 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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