Margaret Willis

31 total papers · 989 total citations
17 papers, 710 citations indexed

About

Margaret Willis is a scholar working on Sociology and Political Science, Clinical Psychology and Physiology. According to data from OpenAlex, Margaret Willis has authored 17 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Clinical Psychology and 3 papers in Physiology. Recurrent topics in Margaret Willis's work include Consumer Behavior in Brand Consumption and Identification (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Margaret Willis is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Margaret Willis collaborates with scholars based in United States, Chile and Australia. Margaret Willis's co-authors include Juliet B. Schor, Monique Ouimette, Lindsey B. Carfagna, Thomas Laidley, Connor J. Fitzmaurice, Jean E. Rhodes, Beth E. Ebel, David R. Flum, Timo Hakkarainen and Saman Arbabi and has published in prestigious journals such as Annals of Surgery, Health Psychology and Accident Analysis & Prevention.

In The Last Decade

Margaret Willis

15 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Margaret Willis	176	114	105	79	76	17	710
Ayşen Çoşkun	146 0.8×	247 2.2×	108 1.0×	58 0.7×	23 0.3×	43	893
Laurent Muller	57 0.3×	122 1.1×	68 0.6×	79 1.0×	39 0.5×	48	798
Catherine Kelly	350 2.0×	125 1.1×	80 0.8×	5 0.1×	24 0.3×	14	638
Melania Calestani	127 0.7×	18 0.2×	46 0.4×	38 0.5×	27 0.4×	32	628
Joan Harvey	70 0.4×	29 0.3×	14 0.1×	13 0.2×	20 0.3×	34	734
Joel Forman	60 0.3×	14 0.1×	13 0.1×	80 1.0×	47 0.6×	18	886
Joshua Newton	206 1.2×	296 2.6×	131 1.2×	11 0.1×	15 0.2×	41	830
Shannon Turner	44 0.3×	18 0.2×	28 0.3×	9 0.1×	75 1.0×	12	652
Inger M. Jonsson	103 0.6×	56 0.5×	54 0.5×	54 0.7×	26 0.3×	47	662
William Cabral‐Miranda	77 0.4×	16 0.1×	20 0.2×	40 0.5×	12 0.2×	12	685

Countries citing papers authored by Margaret Willis

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Willis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret Willis. 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 Margaret Willis. The network helps show where Margaret Willis may publish in the future.

Co-authorship network of co-authors of Margaret Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Willis. A scholar is included among the top collaborators of Margaret Willis 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 Margaret Willis. Margaret Willis 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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