Tom K. Greenfield

25 total papers · 1.3k total citations
20 papers, 1.1k citations indexed

About

Tom K. Greenfield is a scholar working on Epidemiology, Pathology and Forensic Medicine and Social Psychology. According to data from OpenAlex, Tom K. Greenfield has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Pathology and Forensic Medicine and 3 papers in Social Psychology. Recurrent topics in Tom K. Greenfield's work include Substance Abuse Treatment and Outcomes (11 papers), Alcohol Consumption and Health Effects (8 papers) and Nutritional Studies and Diet (2 papers). Tom K. Greenfield is often cited by papers focused on Substance Abuse Treatment and Outcomes (11 papers), Alcohol Consumption and Health Effects (8 papers) and Nutritional Studies and Diet (2 papers). Tom K. Greenfield collaborates with scholars based in United States, Canada and Australia. Tom K. Greenfield's co-authors include John Rogers, Mary A. Fukuyama, Lynda S. Robson, J Rehm, Xiaodi Xie, Jürgen Rehm, Eric Single, Paul A. Gilbert, Alex S. Keuroghlian and Sari L. Reisner and has published in prestigious journals such as International Journal of Epidemiology, Addiction and Journal of Counseling Psychology.

In The Last Decade

Tom K. Greenfield

20 papers receiving 979 citations

Author Peers

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

Author						Papers	Cites
Tom K. Greenfield	663	477	307	178	153	20	1.1k
Michael E. Hilton	906 1.4×	495 1.0×	446 1.5×	129 0.7×	201 1.3×	26	1.3k
Marissa B. Esser	749 1.1×	379 0.8×	346 1.1×	106 0.6×	204 1.3×	44	1.4k
Maria Neufeld	658 1.0×	507 1.1×	323 1.1×	137 0.8×	167 1.1×	65	1.3k
Mandy Stahre	531 0.8×	300 0.6×	369 1.2×	72 0.4×	211 1.4×	17	1.3k
Klaus Mäkelä	786 1.2×	374 0.8×	408 1.3×	93 0.5×	227 1.5×	45	1.2k
Cheryl A. Taylor	644 1.0×	302 0.6×	298 1.0×	172 1.0×	389 2.5×	13	1.2k
Camillia K. Lui	475 0.7×	243 0.5×	368 1.2×	88 0.5×	186 1.2×	49	944
John B. Saunders	707 1.1×	557 1.2×	319 1.0×	62 0.3×	138 0.9×	18	1.2k
Nancy Vogeltanz‐Holm	410 0.6×	201 0.4×	235 0.8×	73 0.4×	207 1.4×	23	991
Janette Mugavin	664 1.0×	224 0.5×	458 1.5×	126 0.7×	236 1.5×	32	1.1k

Countries citing papers authored by Tom K. Greenfield

Since Specialization

Citations

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

Fields of papers citing papers by Tom K. Greenfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom K. Greenfield. 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 Tom K. Greenfield. The network helps show where Tom K. Greenfield may publish in the future.

Co-authorship network of co-authors of Tom K. Greenfield

This figure shows the co-authorship network connecting the top 25 collaborators of Tom K. Greenfield. A scholar is included among the top collaborators of Tom K. Greenfield 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 Tom K. Greenfield. Tom K. Greenfield 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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