Haixiao Fang

604 total citations
20 papers, 464 citations indexed

About

Haixiao Fang is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Haixiao Fang has authored 20 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Haixiao Fang's work include Molecular Sensors and Ion Detection (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Receptor Mechanisms and Signaling (4 papers). Haixiao Fang is often cited by papers focused on Molecular Sensors and Ion Detection (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Receptor Mechanisms and Signaling (4 papers). Haixiao Fang collaborates with scholars based in China, Singapore and France. Haixiao Fang's co-authors include Lin Li, Qiong Wu, Bo Peng, Shao Q. Yao, Wei Huang, Chengwu Zhang, Changmin Yu, Jiajia Xu, Xiaoqing Wang and Xuekang Yang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Haixiao Fang

19 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haixiao Fang China 11 201 147 121 113 103 20 464
Audrey G. Reeves United States 8 166 0.8× 145 1.0× 117 1.0× 149 1.3× 69 0.7× 8 411
Wenjing Qin China 13 242 1.2× 166 1.1× 136 1.1× 89 0.8× 56 0.5× 23 585
Rajeshwari Tiwari India 9 140 0.7× 201 1.4× 198 1.6× 144 1.3× 70 0.7× 9 481
Wenhan Jin China 13 217 1.1× 150 1.0× 169 1.4× 79 0.7× 111 1.1× 25 471
Shohei Uchinomiya Japan 11 237 1.2× 103 0.7× 90 0.7× 48 0.4× 153 1.5× 23 423
Myung Sun Ji South Korea 9 168 0.8× 214 1.5× 255 2.1× 183 1.6× 38 0.4× 12 558
Ryu J. Iwatate Japan 9 215 1.1× 131 0.9× 153 1.3× 195 1.7× 71 0.7× 13 480
Ao Ji United States 11 286 1.4× 86 0.6× 97 0.8× 130 1.2× 135 1.3× 11 520
Wen Chyan United States 7 236 1.2× 234 1.6× 122 1.0× 76 0.7× 75 0.7× 7 462
Xintian Shao China 16 425 2.1× 155 1.1× 189 1.6× 231 2.0× 52 0.5× 38 891

Countries citing papers authored by Haixiao Fang

Since Specialization
Citations

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

Fields of papers citing papers by Haixiao Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixiao Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Haixiao Fang. A scholar is included among the top collaborators of Haixiao Fang 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 Haixiao Fang. Haixiao Fang 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.
Ding, Yang, Jintao Li, Jiaxin Zhang, et al.. (2025). Mitochondrial segmentation and function prediction in live-cell images with deep learning. Nature Communications. 16(1). 743–743. 9 indexed citations
2.
Li, Panpan, Jiaxin Zhang, Tao Shao, et al.. (2025). NIR-II Photosensitizer-Based Nanoparticles Defunctionalizing Mitochondria to Overcome Tumor Self-Defense by Promoting Heat Shock Protein 40. ACS Nano. 19(16). 15751–15766. 5 indexed citations
3.
Li, Shuai, Haixiao Fang, Aixiang Ding, et al.. (2024). Response strategies and biological applications of organic fluorescent thermometry: cell- and mitochondrion-level detection. Analytical Methods. 16(14). 1968–1984. 6 indexed citations
4.
Zhang, Congcong, Haixiao Fang, Duoteng Zhang, et al.. (2023). Ultrafast Detection of Monoamine Oxidase A in Live Cells and Clinical Glioma Tissues Using an Affinity Binding‐Based Two‐Photon Fluorogenic Probe. Angewandte Chemie International Edition. 62(42). e202310134–e202310134. 10 indexed citations
5.
Fang, Haixiao, et al.. (2023). Influence of Ag Target Power on Microstructure and Properties of TiN-Si3N4-Ag Composite Coatings. Journal of Materials Engineering and Performance. 33(16). 8425–8433.
6.
Fang, Haixiao, Panpan Li, Fang Tang, et al.. (2023). A fluorogenic-inhibitor-based probe for profiling and imaging of monoamine oxidase A in live human glioma cells and clinical tissues. Science China Chemistry. 66(7). 2053–2061. 14 indexed citations
7.
Du, Wei, Jiqing Wang, Haixiao Fang, et al.. (2022). Mitochondria-specific two-photon fluorogenic probe for simultaneously visualizing nitroreductase and viscosity in cancer cells. Sensors and Actuators B Chemical. 370. 132456–132456. 17 indexed citations
8.
Fang, Haixiao, Hongjian Zhao, & Jining He. (2022). Improved the Wear Resistance of Ti/Cu Multilayer Film by Nitriding. Coatings. 12(7). 987–987. 1 indexed citations
9.
Fang, Haixiao, et al.. (2021). Recent advances in activity-based probes (ABPs) and affinity-based probes (AfBPs) for profiling of enzymes. Chemical Science. 12(24). 8288–8310. 127 indexed citations
10.
11.
Fang, Haixiao, Chen Ding, Qiong Wu, et al.. (2021). Intramolecular charge transfer enhancing strategy based MAO-A specific two-photon fluorescent probes for glioma cell/tissue imaging. Chemical Communications. 57(85). 11260–11263. 14 indexed citations
12.
Fang, Haixiao, Hang Zhang, Lin Li, et al.. (2020). Rational Design of a Two‐Photon Fluorogenic Probe for Visualizing Monoamine Oxidase A Activity in Human Glioma Tissues. Angewandte Chemie International Edition. 59(19). 7536–7541. 79 indexed citations
13.
Fang, Haixiao, Hang Zhang, Lin Li, et al.. (2020). Rational Design of a Two‐Photon Fluorogenic Probe for Visualizing Monoamine Oxidase A Activity in Human Glioma Tissues. Angewandte Chemie. 132(19). 7606–7611. 8 indexed citations
14.
Yan, Ming, Haixiao Fang, Xiaoqing Wang, et al.. (2020). A two-photon fluorescent probe for visualizing endoplasmic reticulum peroxynitrite in Parkinson's disease models. Sensors and Actuators B Chemical. 328. 129003–129003. 65 indexed citations
15.
16.
Fang, Haixiao, Meirong Wu, Wenhui Ji, et al.. (2020). Simultaneously Detecting Monoamine Oxidase A and B in Disease Cell/Tissue Samples Using Paper-Based Devices. ACS Applied Bio Materials. 4(2). 1395–1402. 10 indexed citations
17.
Zhang, Duoteng, Wei Du, Bo Peng, et al.. (2020). Two-photon small molecular fluorogenic probe visualizing biothiols and sulfides in living cells, mice brain slices and zebrafish. Sensors and Actuators B Chemical. 323. 128673–128673. 22 indexed citations
18.
Zhou, Jia, Qiong Wu, Xingwei Chen, et al.. (2019). Two-component ratiometric sensor for Cu2+ detection on paper-based device. Analytical and Bioanalytical Chemistry. 411(23). 6165–6172. 7 indexed citations
19.
Ding, Chen, Wenjing Qin, Haixiao Fang, et al.. (2019). Recent progress in two-photon small molecule fluorescent probes for enzymes. Chinese Chemical Letters. 30(10). 1738–1744. 51 indexed citations
20.
Chen, Xingwei, Haixiao Fang, Qiuyu Gong, et al.. (2019). Hybrid fluorophores-based fluorogenic paper device for visually high-throughput detection of Cu2+ in real samples. Dyes and Pigments. 170. 107639–107639. 12 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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