Hao Gao

62 total papers · 1.2k total citations
42 papers, 890 citations indexed

About

Hao Gao is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Hao Gao has authored 42 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Biomedical Engineering and 7 papers in Food Science. Recurrent topics in Hao Gao's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (6 papers) and Enzyme Catalysis and Immobilization (5 papers). Hao Gao is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (6 papers) and Enzyme Catalysis and Immobilization (5 papers). Hao Gao collaborates with scholars based in China, United States and Hong Kong. Hao Gao's co-authors include Zhanmei Jiang, Fengxue Xin, Min Jiang, Wenming Zhang, Dongxue Sun, Yujia Jiang, Tianqi Li, Aili Li, Ling Ma and Zengli Gao and has published in prestigious journals such as Journal of Power Sources, Bioresource Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Hao Gao

40 papers receiving 882 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 Gao 299 295 238 109 104 42 890
Dianbo Zhao 273 0.9× 189 0.6× 249 1.0× 178 1.6× 129 1.2× 37 944
Tingting Xie 275 0.9× 161 0.5× 98 0.4× 119 1.1× 209 2.0× 49 915
Suryani Saallah 105 0.4× 195 0.7× 231 1.0× 141 1.3× 69 0.7× 45 842
Cunshan Zhou 407 1.4× 188 0.6× 158 0.7× 50 0.5× 78 0.8× 47 1.0k
Aoife Power 169 0.6× 234 0.8× 355 1.5× 215 2.0× 75 0.7× 42 1.0k
Caleb Acquah 198 0.7× 622 2.1× 246 1.0× 43 0.4× 74 0.7× 32 1.1k
Chuang Yu 225 0.8× 199 0.7× 113 0.5× 50 0.5× 42 0.4× 67 987
Annie E. Hill 386 1.3× 220 0.7× 179 0.8× 186 1.7× 63 0.6× 36 1.0k
Yan Liang 334 1.1× 174 0.6× 79 0.3× 131 1.2× 97 0.9× 54 921
Padma B. Dandge 104 0.3× 351 1.2× 158 0.7× 98 0.9× 87 0.8× 52 1.0k

Countries citing papers authored by Hao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Gao. A scholar is included among the top collaborators of Hao Gao 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 Gao. Hao Gao 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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