Frank C. Mao

17 total papers · 463 total citations
16 papers, 342 citations indexed

About

Frank C. Mao is a scholar working on Nutrition and Dietetics, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Frank C. Mao has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nutrition and Dietetics, 8 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in Frank C. Mao's work include Infant Nutrition and Health (11 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Animal Genetics and Reproduction (3 papers). Frank C. Mao is often cited by papers focused on Infant Nutrition and Health (11 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Animal Genetics and Reproduction (3 papers). Frank C. Mao collaborates with scholars based in United States, Taiwan and Canada. Frank C. Mao's co-authors include Po‐Wen Chen, Chi‐Hung Liu, Chi‐Jen Chen, Robert D. Bremel, L. Chen, Michael Vinsky, D. H. Crews, Chengdao Li, R.R. Grummer and D.J. Carroll and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Diabetes Obesity and Metabolism.

In The Last Decade

Frank C. Mao

15 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Frank C. Mao 141 103 97 73 54 16 342
Murat Boydak 62 0.4× 107 1.0× 58 0.6× 33 0.5× 112 2.1× 19 370
Bruno Garcia Botaro 120 0.9× 239 2.3× 39 0.4× 67 0.9× 70 1.3× 27 365
Valerie E. Ryman 51 0.4× 189 1.8× 84 0.9× 97 1.3× 57 1.1× 17 400
Aidin Foroutan 67 0.5× 84 0.8× 44 0.5× 137 1.9× 57 1.1× 13 323
Yumin Zhu 56 0.4× 85 0.8× 45 0.5× 55 0.8× 61 1.1× 28 344
Hao Ren 57 0.4× 96 0.9× 36 0.4× 129 1.8× 102 1.9× 22 378
C. Pecorini 56 0.4× 52 0.5× 110 1.1× 95 1.3× 41 0.8× 17 299
Joseph H. Skarlupka 28 0.2× 141 1.4× 37 0.4× 197 2.7× 16 0.3× 22 364
C Mariani 61 0.4× 42 0.4× 41 0.4× 115 1.6× 36 0.7× 13 392
P.J. O'Hara 28 0.2× 40 0.4× 51 0.5× 37 0.5× 29 0.5× 20 300

Countries citing papers authored by Frank C. Mao

Since Specialization
Citations

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

Fields of papers citing papers by Frank C. Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank C. Mao

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