Pengcheng Yang

3.0k total citations · 2 hit papers
9 papers, 2.0k citations indexed

About

Pengcheng Yang is a scholar working on Infectious Diseases, Neurology and Clinical Psychology. According to data from OpenAlex, Pengcheng Yang has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Neurology and 3 papers in Clinical Psychology. Recurrent topics in Pengcheng Yang's work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers) and COVID-19 and Mental Health (3 papers). Pengcheng Yang is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers) and COVID-19 and Mental Health (3 papers). Pengcheng Yang collaborates with scholars based in China, United States and Canada. Pengcheng Yang's co-authors include Guogang Xu, Qinyong Hu, Runsheng Wang, Tianzhi Li, Mi Mu, Yingzhen Du, Chao Hu, Lei Tu, Yuan Jin and Jun‐Hong Yan and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, The American Journal of Gastroenterology and Frontiers in Psychology.

In The Last Decade

Pengcheng Yang

9 papers receiving 1.9k citations

Hit Papers

Clinical Characteristics of COVID-19 Patients With Digest... 2020 2026 2022 2024 2020 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengcheng Yang China 6 1.5k 772 343 197 190 9 2.0k
Mi Mu China 8 1.4k 1.0× 762 1.0× 339 1.0× 205 1.0× 228 1.2× 10 2.0k
Yingzhen Du China 12 1.5k 1.0× 816 1.1× 354 1.0× 297 1.5× 241 1.3× 25 2.3k
Liping Deng China 13 1.6k 1.1× 924 1.2× 375 1.1× 385 2.0× 155 0.8× 50 2.2k
Huaying Wang China 7 1.1k 0.8× 599 0.8× 285 0.8× 186 0.9× 223 1.2× 19 1.8k
Hongliu Cai China 16 1.6k 1.1× 774 1.0× 416 1.2× 318 1.6× 202 1.1× 51 2.7k
Qinyong Hu China 14 1.6k 1.1× 844 1.1× 502 1.5× 237 1.2× 279 1.5× 35 2.5k
Pingzheng Mo China 13 1.8k 1.3× 981 1.3× 376 1.1× 300 1.5× 117 0.6× 25 2.3k
Mingqi Luo China 9 1.4k 1.0× 791 1.0× 462 1.3× 287 1.5× 114 0.6× 26 1.8k
Sneha S. Jain United States 10 1.1k 0.8× 652 0.8× 337 1.0× 119 0.6× 118 0.6× 42 1.8k

Countries citing papers authored by Pengcheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Yang

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

All Works

9 of 9 papers shown
1.
Luο, Xingguang, Xiaoyun Guo, Yong Zhang, et al.. (2021). Psychological responses among nurses caring for patients with COVID-19: a comparative study in China. Translational Psychiatry. 11(1). 273–273. 8 indexed citations
2.
Li, Qian, et al.. (2021). Prognostic Value of Inflammatory Markers in Nasopharyngeal Carcinoma Patients in the Intensity-Modulated Radiotherapy Era. Cancer Management and Research. Volume 13. 6799–6810. 19 indexed citations
3.
Guo, Xingyi, Antonio Palazón‐Bru, Pengcheng Yang, et al.. (2021). Regional Differences in Epidemiological and Clinical Characteristics, Treatment, and Clinical Outcomes of COVID-19 in Wuhan and Remote Areas of Hubei Province. Frontiers in Medicine. 8. 667623–667623. 2 indexed citations
4.
Wang, Yahui, Mengyue Zhang, Qin Yin, et al.. (2021). Psychological Responses of the Patients in Cabin Hospital to the COVID-19 Outbreak: A Comparative Epidemiologic Analysis. Frontiers in Psychology. 12. 162–167. 3 indexed citations
5.
Du, Yingzhen, Lei Tu, Pingjun Zhu, et al.. (2020). Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study. American Journal of Respiratory and Critical Care Medicine. 201(11). 1372–1379. 642 indexed citations breakdown →
6.
Pan, Lei, Mi Mu, Pengcheng Yang, et al.. (2020). Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Study. The American Journal of Gastroenterology. 115(5). 766–773. 1234 indexed citations breakdown →
7.
Shang, Haitao, Tao Bai, Yuhua Chen, et al.. (2020). Outcomes and implications of diarrhea in patients with SARS-CoV-2 infection. Scandinavian Journal of Gastroenterology. 55(9). 1049–1056. 24 indexed citations
8.
Feng, Jiangshan, et al.. (2014). Understanding the Uncertainties in the Measurement of Temperature Coefficients of Si PV Modules. EU PVSEC. 3278–3282. 4 indexed citations
9.
Chang, Chih‐Cheng, et al.. (1993). Porcine reproductive and respiratory syndrome (PRRS) in Taiwan. I. Viral isolation. 19(4). 268–276. 20 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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