Bo Shen

4.0k total citations
55 papers, 1.1k citations indexed

About

Bo Shen is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bo Shen has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 9 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bo Shen's work include COVID-19 Clinical Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and SARS-CoV-2 detection and testing (6 papers). Bo Shen is often cited by papers focused on COVID-19 Clinical Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and SARS-CoV-2 detection and testing (6 papers). Bo Shen collaborates with scholars based in China, United States and United Kingdom. Bo Shen's co-authors include Shiyong Chen, Juping Du, Todd H. Baron, Leslie Stewart, M. Edwyn Harrison, Sanjay Jagannath, Jason A. Dominitz, Steven O. Ikenberry, Robert D. Fanelli and David R. Lichtenstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Frontiers in Microbiology.

In The Last Decade

Bo Shen

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Shen China 14 265 236 197 192 176 55 1.1k
Martin Cour France 21 111 0.4× 45 0.2× 166 0.8× 42 0.2× 147 0.8× 96 1.1k
Ruiqiang Zheng China 17 165 0.6× 28 0.1× 191 1.0× 55 0.3× 144 0.8× 81 998
Andry Van de Louw United States 18 67 0.3× 41 0.2× 223 1.1× 99 0.5× 103 0.6× 61 1.2k
Siva Senthuran Australia 12 49 0.2× 49 0.2× 125 0.6× 39 0.2× 186 1.1× 37 771
Murali Shyamsundar United Kingdom 13 124 0.5× 36 0.2× 189 1.0× 40 0.2× 151 0.9× 39 1.1k
Marek Nalos Australia 19 58 0.2× 282 1.2× 558 2.8× 49 0.3× 197 1.1× 66 1.5k
Damiano D’Ardes Italy 17 324 1.2× 16 0.1× 171 0.9× 91 0.5× 105 0.6× 64 1.1k
Andrea Boccatonda Italy 19 171 0.6× 14 0.1× 312 1.6× 94 0.5× 125 0.7× 88 1.2k
Lee S. Nguyen France 21 142 0.5× 15 0.1× 366 1.9× 224 1.2× 144 0.8× 87 1.4k
Phillip Chang United States 18 71 0.3× 33 0.1× 547 2.8× 160 0.8× 61 0.3× 39 1.3k

Countries citing papers authored by Bo Shen

Since Specialization
Citations

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

Fields of papers citing papers by Bo Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Shen

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

All Works

20 of 20 papers shown
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Wang, Jing, Kai Zhou, Jiaqi Wang, et al.. (2024). Effect of omicron infection on maternal and neonatal delivery outcomes: A retrospective cohort study. Travel Medicine and Infectious Disease. 62. 102759–102759.
4.
Hou, Lidan, Jie Zhao, Liuxin Cai, et al.. (2024). HBV PreC interacts with SUV39H1 to induce viral replication by blocking the proteasomal degradation of viral polymerase. Journal of Medical Virology. 96(4). e29607–e29607. 1 indexed citations
5.
Shen, Liping, Yupeng Zheng, Haichen Zhang, et al.. (2023). A Chinese family with cat eye syndrome and abnormality of eye movement: First case report. Frontiers in Pediatrics. 11. 1145183–1145183. 1 indexed citations
6.
Chen, Linping, Hongbo Chi, Yi Jiang, et al.. (2023). Parameters and Morphological Changes of Erythrocytes and Platelets of COVID-19 Subjects: A Longitudinal Cohort Study. Infection and Drug Resistance. Volume 16. 1657–1668. 4 indexed citations
7.
Zhang, Yanjie, et al.. (2023). Characteristics of inpatients with newly diagnosed multiple myeloma in hematology, nephrology, and orthopedic departments. Annals of Hematology. 102(4). 801–809. 1 indexed citations
8.
Chen, Shuaishuai, Mengyuan Chen, Tongtong Zhang, et al.. (2023). Assessment of the Risk and Symptoms of SARS-CoV-2 Infection Among Healthcare Workers During the Omicron Transmission Period: A Multicentric Study from Four Hospitals of Mainland China. Infection and Drug Resistance. Volume 16. 3315–3328. 3 indexed citations
9.
Zheng, Yufen, Jing Wang, Tao‐Hsin Tung, et al.. (2023). Efficacy of the neutralizing antibodies after the booster dose on SARS-CoV-2 Omicron variant and a two-year longitudinal antibody study on Wild Type convalescents. International Immunopharmacology. 119. 110151–110151. 2 indexed citations
10.
Wang, Jing, Juping Du, Shuaishuai Chen, et al.. (2022). Changes in Serum Liver Function for Patients with COVID-19: A 1-Year Follow-Up Study. SHILAP Revista de lepidopterología. 12 indexed citations
11.
Bao, Jianfeng, Shourong Liu, Xiao Liang, et al.. (2022). A prediction model for COVID-19 liver dysfunction in patients with normal hepatic biochemical parameters. Life Science Alliance. 6(1). e202201576–e202201576. 1 indexed citations
12.
Zheng, Yufen, et al.. (2022). The Correlation Between Triglyceride-Glucose Index and SARS-CoV-2 RNA Re-Positive in Discharged COVID-19 Patients. Infection and Drug Resistance. Volume 15. 3815–3828. 4 indexed citations
13.
Wang, Na, Lingzi Zhang, Yicheng Fang, et al.. (2022). A Family Segregating Lethal Primary Coenzyme Q10 Deficiency Due to Two Novel COQ6 Variants. Frontiers in Genetics. 12. 811833–811833. 8 indexed citations
14.
Chen, Mengyuan, Lingjun Ying, Tao‐Hsin Tung, et al.. (2022). Clinical practice of rapid antigen tests for SARS-CoV-2 Omicron variant: A single-center study in China. Virologica Sinica. 37(6). 842–849. 3 indexed citations
15.
Zhou, Kai, Hongbo Chi, Jing Wang, et al.. (2022). Physical condition, psychological status, and posttraumatic stress disorder among recovered COVID-19 subjects: A mediation analysis. Frontiers in Psychiatry. 13. 918679–918679. 1 indexed citations
16.
Wang, Jing, et al.. (2021). The role of lymphocyte-monocyte ratio on axial spondyloarthritis diagnosis and sacroiliitis staging. BMC Musculoskeletal Disorders. 22(1). 86–86. 14 indexed citations
17.
Chen, Jiaxi, Shuang Li, Jianfeng Shi, et al.. (2015). Serum progranulin irrelated with Breg cell levels, but elevated in RA patients, reflecting high disease activity. Rheumatology International. 36(3). 359–364. 28 indexed citations
18.
Lichtenstein, David R., Sanjay Jagannath, Todd H. Baron, et al.. (2008). Sedation and anesthesia in GI endoscopy. Gastrointestinal Endoscopy. 68(5). 815–826. 334 indexed citations
19.
Liu, Ben, et al.. (2007). Orthogonal array design for the optimization of supercritical fluid extraction of baicalin from roots of Scutellaria baicalensis Georgi. Journal of Separation Science. 30(10). 1568–1574. 25 indexed citations
20.

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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