Amber M. Milan

67 total papers · 909 total citations
51 papers, 675 citations indexed

About

Amber M. Milan is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics. According to data from OpenAlex, Amber M. Milan has authored 51 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 17 papers in Public Health, Environmental and Occupational Health and 15 papers in Nutrition and Dietetics. Recurrent topics in Amber M. Milan's work include Diet and metabolism studies (17 papers), Nutritional Studies and Diet (16 papers) and Digestive system and related health (11 papers). Amber M. Milan is often cited by papers focused on Diet and metabolism studies (17 papers), Nutritional Studies and Diet (16 papers) and Digestive system and related health (11 papers). Amber M. Milan collaborates with scholars based in New Zealand, Singapore and Denmark. Amber M. Milan's co-authors include David Cameron‐Smith, Shikha Pundir, Pankaja Sharma, Nicole C. Roy, Mark H. Vickers, Clare M. Reynolds, Cameron J. Mitchell, Farha Ramzan, Sarah M. Mitchell and Matthew P. G. Barnett and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Amber M. Milan

48 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Amber M. Milan 243 212 176 131 122 51 675
Klaus D. Wutzke 230 0.9× 196 0.9× 153 0.9× 69 0.5× 122 1.0× 59 712
Marjolijn C. E. Bragt 185 0.8× 202 1.0× 265 1.5× 104 0.8× 90 0.7× 24 790
Martina Langhammer 300 1.2× 86 0.4× 168 1.0× 138 1.1× 94 0.8× 55 748
Carolina Aguirre 226 0.9× 157 0.7× 93 0.5× 165 1.3× 42 0.3× 50 666
Justin Gnanou 251 1.0× 143 0.7× 149 0.8× 95 0.7× 177 1.5× 34 701
V. N. Patwardhan 124 0.5× 294 1.4× 121 0.7× 47 0.4× 64 0.5× 48 768
Sarita Devi 177 0.7× 195 0.9× 118 0.7× 139 1.1× 163 1.3× 55 624
Rizaldy C. Zapata 280 1.2× 103 0.5× 215 1.2× 46 0.4× 66 0.5× 34 573
Margaret A. Ohlson 167 0.7× 171 0.8× 77 0.4× 109 0.8× 77 0.6× 52 750
Carmen Sáiz 180 0.7× 177 0.8× 76 0.4× 131 1.0× 28 0.2× 36 767

Countries citing papers authored by Amber M. Milan

Since Specialization
Citations

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

Fields of papers citing papers by Amber M. Milan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber M. Milan. 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 Amber M. Milan. The network helps show where Amber M. Milan may publish in the future.

Co-authorship network of co-authors of Amber M. Milan

This figure shows the co-authorship network connecting the top 25 collaborators of Amber M. Milan. A scholar is included among the top collaborators of Amber M. Milan 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 Amber M. Milan. Amber M. Milan 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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