Zhenhua Gan

529 total citations
3 papers, 176 citations indexed

About

Zhenhua Gan is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Zhenhua Gan has authored 3 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Zhenhua Gan's work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Pancreatic function and diabetes (1 paper). Zhenhua Gan is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Pancreatic function and diabetes (1 paper). Zhenhua Gan collaborates with scholars based in China, Nigeria and United States. Zhenhua Gan's co-authors include Lingxiang Wu, Kening Li, Zhihua Wang, Aifang Zhong, Wanlin Li, Bakwatanisa Bosco, Lu Li, Min Wu, Yun Cai and Jian Wu and has published in prestigious journals such as Nature Communications, Aging and International Journal of Endocrinology.

In The Last Decade

Zhenhua Gan

3 papers receiving 173 citations

Peers

Zhenhua Gan
Zhenhua Gan
Citations per year, relative to Zhenhua Gan Zhenhua Gan (= 1×) peers Oksana V. Stanevich

Countries citing papers authored by Zhenhua Gan

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhua Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhua Gan

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

All Works

3 of 3 papers shown
1.
Li, Kening, Bin Huang, Min Wu, et al.. (2020). Dynamic changes in anti-SARS-CoV-2 antibodies during SARS-CoV-2 infection and recovery from COVID-19. Nature Communications. 11(1). 6044–6044. 154 indexed citations
2.
Pang, Rongrong, Jun Zhao, Zhenhua Gan, et al.. (2020). Evolution of COVID-19 in patients with autoimmune rheumatic diseases. Aging. 12(23). 23427–23435. 8 indexed citations
3.
Zhang, Zhen, Zhenhua Gan, Xinyi Wang, et al.. (2013). Improved Glucose-Stimulated Insulin Secretion by Selective Intraislet Inhibition of Angiotensin II Type 1 Receptor Expression in Isolated Islets of db/db Mice. International Journal of Endocrinology. 2013. 1–10. 14 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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