Zhongdan Zhao

1.1k total citations
10 papers, 814 citations indexed

About

Zhongdan Zhao is a scholar working on Molecular Biology, Spectroscopy and Biochemistry. According to data from OpenAlex, Zhongdan Zhao has authored 10 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Biochemistry. Recurrent topics in Zhongdan Zhao's work include Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Mitochondrial Function and Pathology (3 papers). Zhongdan Zhao is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Mitochondrial Function and Pathology (3 papers). Zhongdan Zhao collaborates with scholars based in United States and China. Zhongdan Zhao's co-authors include Richard W. Gross, Xianlin Han, Kui Yang, Shaoping Guan, Dana R. Abendschein, Jingyue Yang, Gang Sun, Michael A. Kiebish, Xinping Liu and Harold F. Sims and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Zhongdan Zhao

10 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongdan Zhao United States 9 696 307 107 106 82 10 814
Shaoping Guan United States 14 711 1.0× 205 0.7× 150 1.4× 141 1.3× 109 1.3× 18 879
Linda Kortz Germany 14 430 0.6× 213 0.7× 121 1.1× 81 0.8× 57 0.7× 18 786
Michael P. Samuel United States 18 555 0.8× 122 0.4× 174 1.6× 129 1.2× 45 0.5× 24 955
Cristina Coman Germany 14 445 0.6× 207 0.7× 44 0.4× 59 0.6× 16 0.2× 26 657
Qiuhui Xuan China 12 470 0.7× 160 0.5× 38 0.4× 69 0.7× 48 0.6× 19 659
Mathieu Gaudin France 13 393 0.6× 181 0.6× 57 0.5× 97 0.9× 15 0.2× 19 588
Renata Bujak Poland 12 399 0.6× 133 0.4× 26 0.2× 63 0.6× 25 0.3× 14 698
Matti Suoniemi Finland 8 433 0.6× 165 0.5× 68 0.6× 61 0.6× 15 0.2× 9 620
Dominik Kopczynski Germany 12 347 0.5× 160 0.5× 25 0.2× 32 0.3× 30 0.4× 27 479
Maria S. K. Stoll United States 13 622 0.9× 49 0.2× 41 0.4× 167 1.6× 246 3.0× 19 792

Countries citing papers authored by Zhongdan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Zhongdan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongdan Zhao

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

All Works

10 of 10 papers shown
1.
Liu, Ding, et al.. (2021). Non-Fourier Heat Conduction based on Self-Adaptive Weight Physics-Informed Neural Networks. 378. 8451–8456. 3 indexed citations
2.
Kiebish, Michael A., Kui Yang, Xinping Liu, et al.. (2013). Dysfunctional cardiac mitochondrial bioenergetic, lipidomic, and signaling in a murine model of Barth syndrome. Journal of Lipid Research. 54(5). 1312–1325. 101 indexed citations
3.
Kiebish, Michael A., Kui Yang, Harold F. Sims, et al.. (2012). Myocardial Regulation of Lipidomic Flux by Cardiolipin Synthase. Journal of Biological Chemistry. 287(30). 25086–25097. 37 indexed citations
4.
Yang, Kui, Zhongdan Zhao, Richard W. Gross, & Xianlin Han. (2011). Identification and Quantitation of Unsaturated Fatty Acid Isomers by Electrospray Ionization Tandem Mass Spectrometry: A Shotgun Lipidomics Approach. Analytical Chemistry. 83(11). 4243–4250. 68 indexed citations
5.
Kiebish, Michael A., Robert G. Bell, Kui Yang, et al.. (2010). Dynamic simulation of cardiolipin remodeling: greasing the wheels for an interpretative approach to lipidomics. Journal of Lipid Research. 51(8). 2153–2170. 52 indexed citations
6.
Yang, Kui, Zhongdan Zhao, Richard W. Gross, & Xianlin Han. (2009). Systematic analysis of choline-containing phospholipids using multi-dimensional mass spectrometry-based shotgun lipidomics. Journal of Chromatography B. 877(26). 2924–2936. 56 indexed citations
8.
Yang, Kui, Zhongdan Zhao, Richard W. Gross, & Xianlin Han. (2007). Shotgun Lipidomics Identifies a Paired Rule for the Presence of Isomeric Ether Phospholipid Molecular Species. PLoS ONE. 2(12). e1368–e1368. 40 indexed citations
9.
Sun, Gang, Kui Yang, Zhongdan Zhao, et al.. (2007). Shotgun Metabolomics Approach for the Analysis of Negatively Charged Water-Soluble Cellular Metabolites from Mouse Heart Tissue. Analytical Chemistry. 79(17). 6629–6640. 73 indexed citations
10.
Han, Xianlin, Jingyue Yang, Kui Yang, et al.. (2007). Alterations in Myocardial Cardiolipin Content and Composition Occur at the Very Earliest Stages of Diabetes:  A Shotgun Lipidomics Study. Biochemistry. 46(21). 6417–6428. 231 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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