Yida Yang

2.8k total citations
9 papers, 404 citations indexed

About

Yida Yang is a scholar working on Infectious Diseases, Epidemiology and Neurology. According to data from OpenAlex, Yida Yang has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Yida Yang's work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Yida Yang is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Yida Yang collaborates with scholars based in China, United States and Nigeria. Yida Yang's co-authors include Lanjuan Li, Huan Cai, Jifang Sheng, Ciliang Jin, Chanyuan Ye, Yimin Zhang, Jueqing Gu, Jiangshan Lian, Jianhua Hu and Shanyan Zhang and has published in prestigious journals such as Journal of Virology, BMC Infectious Diseases and International Journal of Infectious Diseases.

In The Last Decade

Yida Yang

8 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yida Yang China	8	273	152	75	57	45	9	404
Luciana Lepore Italy	10	263 1.0×	86 0.6×	61 0.8×	19 0.3×	53 1.2×	21	438
Annalisa Mondi Italy	9	254 0.9×	52 0.3×	66 0.9×	32 0.6×	36 0.8×	26	380
Charalampos D. Moschopoulos Greece	8	202 0.7×	113 0.7×	52 0.7×	18 0.3×	57 1.3×	21	361
Ovidiu Roșca Romania	13	112 0.4×	72 0.5×	65 0.9×	60 1.1×	15 0.3×	55	331
Simone Vasilij Benatti Italy	7	173 0.6×	121 0.8×	63 0.8×	23 0.4×	43 1.0×	13	322
Marc J. T. Blaauw Netherlands	9	149 0.5×	41 0.3×	90 1.2×	35 0.6×	16 0.4×	23	370
Gab Jung Kim South Korea	9	287 1.1×	26 0.2×	79 1.1×	36 0.6×	38 0.8×	16	392
Jordi Pou Spain	13	83 0.3×	26 0.2×	61 0.8×	27 0.5×	59 1.3×	30	391
Jorge Alave Peru	7	142 0.5×	39 0.3×	66 0.9×	39 0.7×	25 0.6×	28	261
Rachel Zabner United States	9	133 0.5×	80 0.5×	129 1.7×	68 1.2×	22 0.5×	15	348

Countries citing papers authored by Yida Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yida Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yida Yang

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

All Works

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9 of 9 papers shown

Hu, Xiaomin, et al.. (2024). Association between trajectories of systolic blood pressure and frailty outcome in middle-aged and older adults. The journal of nutrition health & aging. 28(5). 100202–100202.

Ren, Yan, et al.. (2020). Interferon-α2b spray inhalation did not shorten virus shedding time of SARS-CoV-2 in hospitalized patients: a preliminary matched case-control study. Journal of Zhejiang University SCIENCE B. 21(8). 628–636. 10 indexed citations

Zhang, Shanyan, Jiangshan Lian, Jianhua Hu, et al.. (2020). Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China. Infectious Diseases of Poverty. 9(1). 85–85. 48 indexed citations

Zhang, Xiaoli, Huan Cai, Jianhua Hu, et al.. (2020). Epidemiological, clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings. International Journal of Infectious Diseases. 94. 81–87. 226 indexed citations

Cai, Huan, et al.. (2020). Comparison of epidemiological and clinical characteristics of COVID-19 patients with and without Wuhan exposure. Journal of Zhejiang University SCIENCE B. 21(5). 369–377. 16 indexed citations

Zhang, Yan, Hainv Gao, Weifeng Liang, et al.. (2015). Efficacy of oseltamivir-peramivir combination therapy compared to oseltamivir monotherapy for Influenza A (H7N9) infection: a retrospective study. BMC Infectious Diseases. 16(1). 76–76. 25 indexed citations

Zheng, Lin, Yida Yang, Guocai Lu, C. David Pauza, & María S. Salvato. (2007). HIV Tat Protein Increases Bcl-2 Expression in Monocytes Which Inhibits Monocyte Apoptosis Induced by Tumor Necrosis Factor-Alpha-Related Apoptosis-Induced Ligand. Intervirology. 50(3). 224–228. 37 indexed citations

Zheng, Lin, Yida Yang, Guocai Lu, & María S. Salvato. (2005). Extracellular HIV Tat and Tat cysteine rich peptide increase CCR5 expression in monocytes. Journal of Zhejiang University SCIENCE A. 6B(7). 668–672. 16 indexed citations

Djavani, Mahmoud, Ivan Topisirović, Juan Carlos Zapata, et al.. (2005). The Proline-Rich Homeodomain (PRH/HEX) Protein Is Down-Regulated in Liver during Infection with Lymphocytic Choriomeningitis Virus. Journal of Virology. 79(4). 2461–2473. 26 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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