T. M. Nett

59 papers and 2.3k indexed citations i.

About

T. M. Nett is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, T. M. Nett has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Agronomy and Crop Science, 15 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Reproductive Medicine. Recurrent topics in T. M. Nett’s work include Reproductive Physiology in Livestock (47 papers), Veterinary Equine Medical Research (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). T. M. Nett is often cited by papers focused on Reproductive Physiology in Livestock (47 papers), Veterinary Equine Medical Research (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). T. M. Nett collaborates with scholars based in United States and Australia. T. M. Nett's co-authors include G. D. Niswender, B.W. Pickett, M. A. Diekman, W. E. Berndtson, M. E. Crowder, T. J. Reimers, William E. Ellinwood, E.L. Squires, G. D. Niswender and A. M. Akbar and has published in prestigious journals such as Endocrinology, Methods in enzymology on CD-ROM/Methods in enzymology and British Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of T. M. Nett i

Fields of papers citing papers by T. M. Nett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by T. M. Nett

Since Specialization
Citations

This map shows the geographic impact of T. M. Nett'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 T. M. Nett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Nett 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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