Maya J. Berry

21 total papers · 428 total citations
12 papers, 154 citations indexed

About

Maya J. Berry is a scholar working on Sociology and Political Science, Cultural Studies and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maya J. Berry has authored 12 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Cultural Studies and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maya J. Berry's work include Cuban History and Society (5 papers), Neonatal Health and Biochemistry (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Maya J. Berry is often cited by papers focused on Cuban History and Society (5 papers), Neonatal Health and Biochemistry (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Maya J. Berry collaborates with scholars based in United States and France. Maya J. Berry's co-authors include Shanya Cordis, Sarah Ihmoud, Agnès Mailloux, B. Carbonne, A. Cortey, Tina J. Kauh, G. Macé, Anh Quoc Nguyen and G. Andreu and has published in prestigious journals such as American Anthropologist, Cultural Anthropology and Dance Research Journal.

In The Last Decade

Maya J. Berry

11 papers receiving 133 citations

Author Peers

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

Author						Papers	Cites
Maya J. Berry	101	36	30	24	14	12	154
Eleana Kim	159 1.6×	15 0.4×	24 0.8×	29 1.2×	7 0.5×	14	241
Sarah Ihmoud	123 1.2×	38 1.1×	35 1.2×	32 1.3×	16 1.1×	11	161
Geeta Patel	77 0.8×	39 1.1×	28 0.9×	29 1.2×	10 0.7×	14	165
Claudia Liebelt	171 1.7×	27 0.8×	16 0.5×	30 1.3×	15 1.1×	23	223
Matthews A. Ojo	159 1.6×	41 1.1×	9 0.3×	16 0.7×	8 0.6×	16	204
Harriet D. Lyons	43 0.4×	65 1.8×	13 0.4×	18 0.8×	6 0.4×	17	136
Ravina Aggarwal	113 1.1×	66 1.8×	47 1.6×	89 3.7×	12 0.9×	11	263
Eddie Bruce-Jones	88 0.9×	19 0.5×	12 0.4×	21 0.9×	11 0.8×	12	153
Roberto DaMatta	70 0.7×	33 0.9×	21 0.7×	9 0.4×	10 0.7×	14	140
Maria Jaschok	139 1.4×	29 0.8×	41 1.4×	38 1.6×	3 0.2×	15	173

Countries citing papers authored by Maya J. Berry

Since Specialization

Citations

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

Fields of papers citing papers by Maya J. Berry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya J. Berry. 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 Maya J. Berry. The network helps show where Maya J. Berry may publish in the future.

Co-authorship network of co-authors of Maya J. Berry

This figure shows the co-authorship network connecting the top 25 collaborators of Maya J. Berry. A scholar is included among the top collaborators of Maya J. Berry 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 Maya J. Berry. Maya J. Berry 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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