Shuzhen Cong

40 total papers · 435 total citations
19 papers, 330 citations indexed

About

Shuzhen Cong is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shuzhen Cong has authored 19 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Surgery. Recurrent topics in Shuzhen Cong's work include Thyroid Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Thyroid and Parathyroid Surgery (5 papers). Shuzhen Cong is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Thyroid and Parathyroid Surgery (5 papers). Shuzhen Cong collaborates with scholars based in China and Japan. Shuzhen Cong's co-authors include Shufang Pei, Bin Zhang, Shuixing Zhang, Lu Zhang, Yuhao Dong, Wenhui Huang, Jie Tian, Yubing Chen, Xiaokai Mo and Juanjuan Liu and has published in prestigious journals such as Medicine, European Radiology and Thyroid.

In The Last Decade

Shuzhen Cong

18 papers receiving 322 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shuzhen Cong	168	161	80	78	60	19	330
Su Yeon Ko	132 0.8×	97 0.6×	62 0.8×	89 1.1×	72 1.2×	21	334
Haixiong Chen	96 0.6×	77 0.5×	34 0.4×	55 0.7×	18 0.3×	21	284
Jung Min Bae	139 0.8×	22 0.1×	73 0.9×	65 0.8×	66 1.1×	15	305
Ilias Gatos	178 1.1×	11 0.1×	64 0.8×	32 0.4×	159 2.6×	20	335
Ioannis Theotokas	145 0.9×	14 0.1×	65 0.8×	16 0.2×	155 2.6×	22	306
Rongqin Zheng	135 0.8×	26 0.2×	41 0.5×	68 0.9×	88 1.5×	29	318
Mi-ri Kwon	209 1.2×	90 0.6×	133 1.7×	31 0.4×	12 0.2×	26	341
Golnar Karimian	19 0.1×	17 0.1×	34 0.4×	57 0.7×	63 1.1×	12	346
Dominik Soll	47 0.3×	14 0.1×	69 0.9×	19 0.2×	27 0.5×	16	336
Corrado Chiappa	50 0.3×	20 0.1×	42 0.5×	110 1.4×	38 0.6×	22	301

Countries citing papers authored by Shuzhen Cong

Since Specialization

Citations

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

Fields of papers citing papers by Shuzhen Cong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuzhen Cong

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

All Works

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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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