Haixia An

611 total citations · 1 hit paper
5 papers, 487 citations indexed

About

Haixia An is a scholar working on Nuclear and High Energy Physics, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Haixia An has authored 5 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Pharmacology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Haixia An's work include Astronomical and nuclear sciences (2 papers), Nuclear physics research studies (2 papers) and Beetle Biology and Toxicology Studies (1 paper). Haixia An is often cited by papers focused on Astronomical and nuclear sciences (2 papers), Nuclear physics research studies (2 papers) and Beetle Biology and Toxicology Studies (1 paper). Haixia An collaborates with scholars based in China and Taiwan. Haixia An's co-authors include Chonghai Cai, Sai Li, Zhang Lin, Xiaoyong Gao, Wen‐Yong Lou, Yanchun Zhang, Hua Yue, Yanan Fu, Jun Ge and Xiaoyang Li and has published in prestigious journals such as Nature Communications, Physical Chemistry Chemical Physics and OncoTargets and Therapy.

In The Last Decade

Haixia An

4 papers receiving 480 citations

Hit Papers

Packaging and delivering enzymes by amorphous metal-organ... 2019 2026 2021 2023 2019 100 200 300

Peers

Haixia An
Comparison fields: 5 of 71
  • Materials Chemistry 181
  • Nuclear and High Energy Physics 145
  • Inorganic Chemistry 144
  • Molecular Biology 108
  • Electrical and Electronic Engineering 91
Replace He Zhao with:
He Zhao China
M. Suda Japan
N. Goutev Bulgaria
Lihong Niu China
Nicoletta Protti Italy
Fabien Sguerra France
Jason T. Ash United States
Heng Tu China
Yi-Min Feng China
Knut Reiner Germany
He Zhao China View profile →
Citations per field, relative to Haixia An
Haixia An · 1×
Citations per year, relative to Haixia An
Haixia An · 1×

Countries citing papers authored by Haixia An

Since Specialization
Citations

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

Fields of papers citing papers by Haixia An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia An

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 3
2
Packaging and delivering enzymes by amorphous metal-organic frameworks breakdown →
314
3 11
4 1
5 158

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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