Hao Gan

96 total papers · 1.1k total citations
46 papers, 879 citations indexed

About

Hao Gan is a scholar working on Materials Chemistry, Ceramics and Composites and Inorganic Chemistry. According to data from OpenAlex, Hao Gan has authored 46 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 26 papers in Ceramics and Composites and 8 papers in Inorganic Chemistry. Recurrent topics in Hao Gan's work include Glass properties and applications (26 papers), Nuclear materials and radiation effects (19 papers) and Recycling and utilization of industrial and municipal waste in materials production (7 papers). Hao Gan is often cited by papers focused on Glass properties and applications (26 papers), Nuclear materials and radiation effects (19 papers) and Recycling and utilization of industrial and municipal waste in materials production (7 papers). Hao Gan collaborates with scholars based in United States, China and France. Hao Gan's co-authors include Ian L. Pegg, Alexandra Navrotsky, David A. McKeown, P. C. Hess, Gordon E. Brown, F. Farges, J. J. Rehr, Isabelle Müller, Christopher A. Kendziora and R. James Kirkpatrick and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Energy.

In The Last Decade

Hao Gan

40 papers receiving 857 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Gan 497 466 190 108 97 46 879
R. F. Bartholomew 476 1.0× 458 1.0× 63 0.3× 110 1.0× 28 0.3× 40 896
E. Bruno 342 0.7× 148 0.3× 266 1.4× 66 0.6× 25 0.3× 49 738
A. А. Osipov 427 0.9× 420 0.9× 27 0.1× 66 0.6× 52 0.5× 72 770
M. V. B. Pinheiro 430 0.9× 81 0.2× 91 0.5× 52 0.5× 20 0.2× 56 1.0k
Oliver L. G. Alderman 604 1.2× 440 0.9× 174 0.9× 87 0.8× 14 0.1× 58 899
O. Pinet 448 0.9× 499 1.1× 128 0.7× 115 1.1× 134 1.4× 23 720
O. V. Mazurin 566 1.1× 497 1.1× 47 0.2× 42 0.4× 56 0.6× 36 811
H. Morikawa 560 1.1× 328 0.7× 98 0.5× 65 0.6× 10 0.1× 46 838
Thiruvilla S. Mahadevan 355 0.7× 304 0.7× 51 0.3× 54 0.5× 16 0.2× 23 722
Pranesh Sengupta 519 1.0× 188 0.4× 75 0.4× 218 2.0× 74 0.8× 52 778

Countries citing papers authored by Hao Gan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Gan

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

All Works

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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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