Hong Mao

54 total papers · 636 total citations
28 papers, 361 citations indexed

About

Hong Mao is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hong Mao has authored 28 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hong Mao's work include Advanced Fluorescence Microscopy Techniques (4 papers), Diet and metabolism studies (4 papers) and Diabetes Management and Research (4 papers). Hong Mao is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (4 papers), Diet and metabolism studies (4 papers) and Diabetes Management and Research (4 papers). Hong Mao collaborates with scholars based in China, Norway and United States. Hong Mao's co-authors include Peter McCourt, David G. Le Couteur, Victoria C. Cogger, Zhao Shi, Nicholas J. Hunt, Zhongjing Wang, Glen P. Lockwood, Li Wang, Hongxiang Wang and Ling Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Hong Mao

27 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Hong Mao	94	84	74	67	60	28	361
Changyu Zhou	100 1.1×	41 0.5×	30 0.4×	116 1.7×	14 0.2×	21	355
Corinna Schoelch	124 1.3×	36 0.4×	52 0.7×	69 1.0×	74 1.2×	20	343
Luca Pacini	167 1.8×	35 0.4×	64 0.9×	34 0.5×	43 0.7×	21	391
Ting Lin	155 1.6×	35 0.4×	43 0.6×	36 0.5×	50 0.8×	42	391
Hayk Simonyan	117 1.2×	29 0.3×	21 0.3×	46 0.7×	39 0.7×	13	329
Xian Dong	203 2.2×	68 0.8×	25 0.3×	71 1.1×	34 0.6×	16	404
Andreas Teubner	117 1.2×	9 0.1×	40 0.5×	31 0.5×	26 0.4×	30	350
Takashi Kano	89 0.9×	32 0.4×	41 0.6×	21 0.3×	40 0.7×	35	335
G. H. Whipple	52 0.6×	80 1.0×	22 0.3×	17 0.3×	38 0.6×	29	331
Pavitra Kumar	161 1.7×	20 0.2×	40 0.5×	66 1.0×	58 1.0×	31	322

Countries citing papers authored by Hong Mao

Since Specialization

Citations

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

Fields of papers citing papers by Hong Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Mao

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