Mildred V. Farmer

27 total papers · 1.5k total citations
20 papers, 993 citations indexed

About

Mildred V. Farmer is a scholar working on Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Mildred V. Farmer has authored 20 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrine and Autonomic Systems, 5 papers in Physiology and 5 papers in Nutrition and Dietetics. Recurrent topics in Mildred V. Farmer's work include Regulation of Appetite and Obesity (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Sensory Analysis and Statistical Methods (2 papers). Mildred V. Farmer is often cited by papers focused on Regulation of Appetite and Obesity (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Sensory Analysis and Statistical Methods (2 papers). Mildred V. Farmer collaborates with scholars based in United States, Germany and Japan. Mildred V. Farmer's co-authors include Kevin C. Maki, Matthew S. Reeves, Tia M. Rains, Mary R. Dicklin, James M. McKenney, H. Vik, Mikko Griinari, Kjetil Berge, Valerie N. Kaden and Satya S. Jonnalagadda and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Mildred V. Farmer

20 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Mildred V. Farmer 344 304 188 157 138 20 993
Annalisa Opizzi 362 1.1× 424 1.4× 180 1.0× 104 0.7× 48 0.3× 35 1.1k
Júlia Dübois Moreira 193 0.6× 264 0.9× 89 0.5× 96 0.6× 68 0.5× 50 923
Suzanne Summer 251 0.7× 375 1.2× 375 2.0× 31 0.2× 90 0.7× 37 1.2k
Antonio Gennaro Nicotera 94 0.3× 303 1.0× 79 0.4× 60 0.4× 81 0.6× 41 1.1k
Peter J. Joris 254 0.7× 347 1.1× 181 1.0× 49 0.3× 36 0.3× 59 1.1k
Lucia Kerti 243 0.7× 446 1.5× 147 0.8× 33 0.2× 33 0.2× 13 1.0k
Fikret Özuğurlu 113 0.3× 141 0.5× 76 0.4× 168 1.1× 96 0.7× 21 1.0k
A Parigi 150 0.4× 460 1.5× 334 1.8× 44 0.3× 99 0.7× 22 1.2k
Crystal F. Haskell‐Ramsay 172 0.5× 268 0.9× 199 1.1× 75 0.5× 29 0.2× 46 1.1k
Allain Amador Bueno 253 0.7× 381 1.3× 92 0.5× 43 0.3× 103 0.7× 41 1.0k

Countries citing papers authored by Mildred V. Farmer

Since Specialization
Citations

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

Fields of papers citing papers by Mildred V. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mildred V. Farmer. 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 Mildred V. Farmer. The network helps show where Mildred V. Farmer may publish in the future.

Co-authorship network of co-authors of Mildred V. Farmer

This figure shows the co-authorship network connecting the top 25 collaborators of Mildred V. Farmer. A scholar is included among the top collaborators of Mildred V. Farmer 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 Mildred V. Farmer. Mildred V. Farmer 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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