Yanqing Fan

6.6k total citations · 2 hit papers
16 papers, 3.4k citations indexed

About

Yanqing Fan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Yanqing Fan has authored 16 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Yanqing Fan's work include COVID-19 Clinical Research Studies (12 papers), COVID-19 diagnosis using AI (9 papers) and Long-Term Effects of COVID-19 (7 papers). Yanqing Fan is often cited by papers focused on COVID-19 Clinical Research Studies (12 papers), COVID-19 diagnosis using AI (9 papers) and Long-Term Effects of COVID-19 (7 papers). Yanqing Fan collaborates with scholars based in China, United States and Qatar. Yanqing Fan's co-authors include Xiaoyu Han, Osamah Alwalid, Jin Gu, Yukun Cao, Heshui Shi, Chuansheng Zheng, Nanchuan Jiang, Heshui Shi, Wenzhen Zhu and Xi Jia and has published in prestigious journals such as Scientific Reports, Radiology and The Lancet Infectious Diseases.

In The Last Decade

Yanqing Fan

16 papers receiving 3.3k 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.

Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

2020 2.5k citations Heshui Shi, Xiaoyu Han et al. The Lancet Infectious Diseases profile →
Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumonia

2021 375 citations Xiaoyu Han, Yanqing Fan et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanqing Fan China	10	2.2k	1.2k	1.2k	673	563	16	3.4k
Osamah Alwalid China	13	2.0k 0.9×	1.2k 0.9×	1.2k 1.0×	731 1.1×	518 0.9×	36	3.4k
Jin Gu China	10	1.9k 0.9×	1.1k 0.9×	1.1k 0.9×	638 0.9×	504 0.9×	13	3.2k
Lian Yang China	19	1.7k 0.8×	1.3k 1.0×	842 0.7×	513 0.8×	599 1.1×	71	3.5k
Nanchuan Jiang China	7	1.8k 0.8×	1.0k 0.8×	920 0.8×	469 0.7×	459 0.8×	16	2.9k
Bo Liang China	12	1.7k 0.8×	1.2k 1.0×	757 0.6×	473 0.7×	645 1.1×	23	2.7k
Heshui Shi China	10	1.8k 0.8×	1.5k 1.2×	783 0.7×	497 0.7×	471 0.8×	25	3.3k
Lingjun Ying China	4	2.2k 1.0×	1.7k 1.4×	808 0.7×	323 0.5×	621 1.1×	8	3.7k
Tianhe Ye China	11	1.4k 0.7×	1.2k 0.9×	659 0.6×	425 0.6×	442 0.8×	25	2.4k
Dandan Zheng China	6	1.3k 0.6×	1.1k 0.9×	571 0.5×	368 0.5×	438 0.8×	9	2.4k
Xueyan Mei United States	10	2.1k 0.9×	2.5k 2.0×	690 0.6×	578 0.9×	608 1.1×	29	4.0k

Countries citing papers authored by Yanqing Fan

Since Specialization

Citations

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

Fields of papers citing papers by Yanqing Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqing Fan

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

All Works

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16 of 16 papers shown

Wu, Linxia, Xiaoyu Han, Lu Chen, et al.. (2024). Impact of Diabetes on Persistent Radiological Abnormalities and Pulmonary Diffusion Dysfunction in COVID-19 Survivors: A 3-Year Prospective Cohort Study. Academic Radiology. 32(1). 471–481. 1 indexed citations

Li, Hanting, Lü Chen, Yanqing Fan, et al.. (2024). Clinical and radiological features of a cluster of immunocompetent adolescents with varicella pneumonia: a descriptive study. Journal of Thoracic Disease. 16(7). 4379–4390. 1 indexed citations

Han, Xiaoyu, Lu Chen, Xi Jia, et al.. (2023). Comparative Analysis of Clinical and CT Findings in Patients with SARS-CoV-2 Original Strain, Delta and Omicron Variants. Biomedicines. 11(3). 901–901. 5 indexed citations

Han, Xiaoyu, Lu Chen, Yanqing Fan, et al.. (2023). Longitudinal Assessment of Chest CT Findings and Pulmonary Function after COVID-19 Infection. Radiology. 307(2). e222888–e222888. 39 indexed citations

Jia, Xi, Xiaoyu Han, Yukun Cao, et al.. (2022). Quantitative inspiratory–expiratory chest CT findings in COVID-19 survivors at the 6-month follow-up. Scientific Reports. 12(1). 7402–7402. 17 indexed citations

Han, Xiaoyu, Yanqing Fan, Osamah Alwalid, et al.. (2021). Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumonia. Radiology. 299(1). E177–E186. 375 indexed citations breakdown →

Han, Xiaoyu, Yanqing Fan, Osamah Alwalid, et al.. (2021). Fibrotic Interstitial Lung Abnormalities at 1-year Follow-up CT after Severe COVID-19. Radiology. 301(3). E438–E440. 60 indexed citations

Zhao, Lingyun, et al.. (2021). Correlation of autopsy pathological findings and imaging features from 9 fatal cases of COVID-19 pneumonia. Medicine. 100(12). e25232–e25232. 11 indexed citations

Shi, Heshui, Xiaoyu Han, Nanchuan Jiang, et al.. (2020). Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. The Lancet Infectious Diseases. 20(4). 425–434. 2527 indexed citations breakdown →

10.

Jiang, Nanchuan, Chuansheng Zheng, Yanqing Fan, et al.. (2020). CT appearances and short-term changes of COVID-19 in subclinical period. Zhonghua fangshexian yixue zazhi. 54(4). 305–309. 3 indexed citations

11.

Jiang, Nanchuan, Chuansheng Zheng, Yanqing Fan, et al.. (2020). CT appearance of new coronavirus pneumonia in subclinical period and short-term changes. Zhonghua fangshexian yixue zazhi. 54(12). 4 indexed citations

12.

Liu, Jia, Wenjuan Zeng, Yukun Cao, et al.. (2020). Effect of a Previous History of Antiretroviral Treatment on Clinical Picture of Patients with Co-infection of SARS-CoV-2 and HIV: A Preliminary Study. International Journal of Infectious Diseases. 100. 141–148. 8 indexed citations

13.

Han, Xiaoyu, Yanqing Fan, Yung‐Liang Wan, & Heshui Shi. (2020). A Diabetic Patient With 2019-nCoV (COVID-19) Infection Who Recovered and Was Discharged From Hospital. Journal of Thoracic Imaging. 35(3). W94–W95. 18 indexed citations

14.

Cao, Yukun, Xiaoyu Han, Jin Gu, et al.. (2020). Prognostic value of baseline clinical and HRCT findings in 101 patients with severe COVID-19 in Wuhan, China. Scientific Reports. 10(1). 17543–17543. 17 indexed citations

15.

Li, Yumin, Xiaoyu Han, Osamah Alwalid, et al.. (2020). Baseline characteristics and risk factors for short-term outcomes in 132 COVID-19 patients with diabetes in Wuhan China: A retrospective study. Diabetes Research and Clinical Practice. 166. 108299–108299. 37 indexed citations

16.

Xiong, Ying, Dong Sun, Yao Liu, et al.. (2020). Clinical and High-Resolution CT Features of the COVID-19 Infection: Comparison of the Initial and Follow-up Changes. Investigative Radiology. 55(6). 332–339. 319 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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