Congzhi Wang

45 total papers · 614 total citations
32 papers, 314 citations indexed

About

Congzhi Wang is a scholar working on Clinical Psychology, General Health Professions and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Congzhi Wang has authored 32 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 7 papers in General Health Professions and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Congzhi Wang's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), COVID-19 and Mental Health (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Congzhi Wang is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), COVID-19 and Mental Health (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Congzhi Wang collaborates with scholars based in China. Congzhi Wang's co-authors include Ting Yuan, Yunxiao Lei, Lu Sun, Ying Hua, Haiyang Liu, Jiaofeng Gui, Mingming Liu, Huanhuan Wei, Yang Liu and Yuqing Li and has published in prestigious journals such as Scientific Reports, BMC Public Health and BioMed Research International.

In The Last Decade

Congzhi Wang

28 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Congzhi Wang	110	110	77	68	67	32	314
Michael Adeyemi Olamoyegun	65 0.6×	120 1.1×	36 0.5×	76 1.1×	51 0.8×	31	352
Hongmei Yang	72 0.7×	48 0.4×	37 0.5×	67 1.0×	74 1.1×	28	364
Cristina Franco‐Antonio	93 0.8×	45 0.4×	81 1.1×	93 1.4×	43 0.6×	16	266
Maryam Ghaderpanahi	39 0.4×	40 0.4×	123 1.6×	70 1.0×	34 0.5×	30	345
Suthahar Ariaratnam	94 0.9×	104 0.9×	54 0.7×	37 0.5×	50 0.7×	23	315
Francisco Javier García Soidán	52 0.5×	161 1.5×	26 0.3×	46 0.7×	26 0.4×	33	257
Κaloyan Tsochev	48 0.4×	153 1.4×	66 0.9×	134 2.0×	29 0.4×	23	365
Huaping Liu	39 0.4×	51 0.5×	63 0.8×	23 0.3×	41 0.6×	21	351
José Juan Lozano-Nuevo	83 0.8×	61 0.6×	31 0.4×	29 0.4×	128 1.9×	21	300
Marc Casajuana‐Closas	50 0.5×	76 0.7×	29 0.4×	35 0.5×	41 0.6×	31	276

Countries citing papers authored by Congzhi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Congzhi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congzhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Congzhi Wang. A scholar is included among the top collaborators of Congzhi Wang 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 Congzhi Wang. Congzhi Wang 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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