Kim M. Moar

36 papers and 2.0k indexed citations i.

About

Kim M. Moar is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Kim M. Moar has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrine and Autonomic Systems, 19 papers in Nutrition and Dietetics and 14 papers in Physiology. Recurrent topics in Kim M. Moar’s work include Regulation of Appetite and Obesity (29 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Circadian rhythm and melatonin (8 papers). Kim M. Moar is often cited by papers focused on Regulation of Appetite and Obesity (29 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Circadian rhythm and melatonin (8 papers). Kim M. Moar collaborates with scholars based in United Kingdom, France and Germany. Kim M. Moar's co-authors include Julian G. Mercer, Nigel Hoggard, Peter J. Morgan, Perry Barrett, D. Vernon Rayner, Paul Trayhurn, Alexander Ross, Clare L. Adam, Lynda M. Williams and Patricia A. Findlay and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Kim M. Moar i

Fields of papers citing papers by Kim M. Moar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim M. Moar

Since Specialization
Citations

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

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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