Guiqing He

2.5k total citations
24 papers, 1.5k citations indexed

About

Guiqing He is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Guiqing He has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 13 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Guiqing He's work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (10 papers) and COVID-19 Clinical Research Studies (7 papers). Guiqing He is often cited by papers focused on Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (10 papers) and COVID-19 Clinical Research Studies (7 papers). Guiqing He collaborates with scholars based in China, United States and Pakistan. Guiqing He's co-authors include Jing Cai, Jianping Huang, Wenjie Sun, Michelle Gamber, Jing Wu, Xingzhong Hu, Lianpeng Wu, Wei Ye, Wenhong Zhang and Xiangao Jiang and has published in prestigious journals such as Frontiers in Microbiology, Emerging infectious diseases and Gene.

In The Last Decade

Guiqing He

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiqing He China 12 795 329 247 224 212 24 1.5k
Domenico Benvenuto Italy 17 1.1k 1.4× 231 0.7× 344 1.4× 275 1.2× 108 0.5× 53 2.2k
Yeonjae Kim South Korea 22 1.1k 1.4× 274 0.8× 250 1.0× 134 0.6× 115 0.5× 69 1.9k
Junxiong Pang Singapore 27 1.3k 1.6× 292 0.9× 303 1.2× 222 1.0× 109 0.5× 92 2.7k
Xiangao Jiang China 9 1.3k 1.7× 275 0.8× 135 0.5× 321 1.4× 294 1.4× 34 2.0k
Chuanjun Xu China 13 822 1.0× 170 0.5× 128 0.5× 196 0.9× 176 0.8× 32 1.4k
Ci Song China 17 810 1.0× 414 1.3× 221 0.9× 165 0.7× 290 1.4× 62 1.9k
Baoli Zhu China 15 621 0.8× 234 0.7× 180 0.7× 96 0.4× 83 0.4× 45 1.2k
Li Dong China 17 1.1k 1.4× 287 0.9× 147 0.6× 229 1.0× 295 1.4× 44 1.8k
Denali Boon United States 10 949 1.2× 360 1.1× 86 0.3× 176 0.8× 152 0.7× 24 1.5k
Hainv Gao China 20 1.6k 2.0× 618 1.9× 262 1.1× 191 0.9× 360 1.7× 58 2.7k

Countries citing papers authored by Guiqing He

Since Specialization
Citations

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

Fields of papers citing papers by Guiqing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiqing He

This figure shows the co-authorship network connecting the top 25 collaborators of Guiqing He. A scholar is included among the top collaborators of Guiqing He 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 Guiqing He. Guiqing He 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
1.
Ye, Lei, et al.. (2025). Cuphophyllus lijiangensis sp. nov. ( Hygrophoraceae , Agaricales ) from Yunnan, China. New Zealand Journal of Botany. 63(2-3). 354–369.
2.
Cai, Xiaoxiao, Xueqin Xu, Guiqing He, Xiangao Jiang, & Lianpeng Wu. (2024). Drug resistance in drug-resistant tuberculosis patients with and without diabetes mellitus: a comparative analysis. BMC Infectious Diseases. 24(1). 807–807. 3 indexed citations
3.
He, Guiqing, Qingyong Zheng, Lianpeng Wu, et al.. (2024). Discordant results between Xpert MTB/RIF assay and Bactec MGIT 960 culture system regarding the detection of rifampin-resistant Mycobacterium tuberculosis isolates in Wenzhou, China. Microbiology Spectrum. 12(6). e0385923–e0385923. 1 indexed citations
4.
He, Guiqing, et al.. (2024). Evaluation of WHO catalog of mutations and five WGS analysis tools for drug resistance prediction of Mycobacterium tuberculosis isolates from China. Microbiology Spectrum. 12(8). e0334123–e0334123. 3 indexed citations
5.
6.
Shi, Jichan, Wenjie Wu, Kang Wu, et al.. (2022). The diagnosis of leptospirosis complicated by pulmonary tuberculosis complemented by metagenomic next-generation sequencing: A case report. Frontiers in Cellular and Infection Microbiology. 12. 922996–922996. 4 indexed citations
7.
He, Guiqing, Lianpeng Wu, Qingyong Zheng, & Xiangao Jiang. (2022). Antimicrobial susceptibility and minimum inhibitory concentration distribution of common clinically relevant non-tuberculous mycobacterial isolates from the respiratory tract. Annals of Medicine. 54(1). 2499–2509. 13 indexed citations
8.
He, Guiqing, Jing Wu, Jianping Huang, et al.. (2021). Clinical features and viral RNA shedding of imported and local cases with COVID-19 in Wenzhou, China. Medicine. 100(11). e24826–e24826. 1 indexed citations
9.
Zhou, Min, Jing Cai, Wenjie Sun, et al.. (2021). Do post-COVID-19 symptoms exist? A longitudinal study of COVID-19 sequelae in Wenzhou, China. Annales Médico-psychologiques revue psychiatrique. 179(9). 818–821. 7 indexed citations
10.
Sun, Suyu, Xuejiao Cai, Guiqing He, et al.. (2020). Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou, China. Clinica Chimica Acta. 507. 174–180. 236 indexed citations
11.
Yu, Hongying, Yu Zhang, Xinchang Chen, et al.. (2020). Whole-genome sequencing and epidemiological analysis of a tuberculosis outbreak in a high school of southern China. Infection Genetics and Evolution. 83. 104343–104343. 8 indexed citations
12.
Cai, Jing, Wenjie Sun, Jianping Huang, et al.. (2020). Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020. Emerging infectious diseases. 26(6). 1343–1345. 393 indexed citations
13.
Hu, Xingzhong, Dong Chen, Lianpeng Wu, Guiqing He, & Wei Ye. (2020). Declined serum high density lipoprotein cholesterol is associated with the severity of COVID-19 infection. Clinica Chimica Acta. 510. 105–110. 123 indexed citations
14.
He, Guiqing, Yang Li, Xinchang Chen, Jiazhen Chen, & Wenhong Zhang. (2020). Prediction of treatment outcomes for multidrug-resistant tuberculosis by whole-genome sequencing. International Journal of Infectious Diseases. 96. 68–72. 10 indexed citations
15.
He, Guiqing, Wenjie Sun, Jing Wu, & Jing Cai. (2020). Serial Computed Tomography Findings in a Child with Coronavirus Disease (COVID-19) Pneumonia. Indian Pediatrics. 57(5). 467–468. 5 indexed citations
16.
Shi, Yong, Hong Yang, Wenzhi Wang, et al.. (2019). Alternative splicing coupled to nonsense-mediated mRNA decay contributes to the high-altitude adaptation of maca (Lepidium meyenii). Gene. 694. 7–18. 8 indexed citations
17.
Wang, Fei, Limin Wu, Min Zhu, et al.. (2019). <p>Cycloserine for treatment of multidrug-resistant tuberculosis: a retrospective cohort study in China</p>. Infection and Drug Resistance. Volume 12. 721–731. 31 indexed citations
18.
Ai, Jingwen, Xian Zhou, Teng Xu, et al.. (2019). CRISPR-based rapid and ultra-sensitive diagnostic test for Mycobacterium tuberculosis. Emerging Microbes & Infections. 8(1). 1361–1369. 158 indexed citations
19.
20.
Shi, Jichan, et al.. (2015). ZNRF3 contributes to the growth of lung carcinoma via inhibiting Wnt/β-catenin pathway and is regulated by miR-93. Tumor Biology. 37(3). 3051–3057. 19 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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