M. Cameron Hay

51 total papers · 1.1k total citations
31 papers, 735 citations indexed

About

M. Cameron Hay is a scholar working on General Health Professions, Social Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Cameron Hay has authored 31 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 4 papers in Social Psychology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Cameron Hay's work include Patient-Provider Communication in Healthcare (4 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Primary Care and Health Outcomes (2 papers). M. Cameron Hay is often cited by papers focused on Patient-Provider Communication in Healthcare (4 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Primary Care and Health Outcomes (2 papers). M. Cameron Hay collaborates with scholars based in United States, Zambia and Brazil. M. Cameron Hay's co-authors include Thomas S. Weisner, Naihua Duan, Saskia Subramanian, Richard L. Kravitz, Eli Lieber, Edmund J. Niedzinski, Daniel E. Furst, Rose Marie Ward, Barbara S. Giesser and Dinesh Khanna and has published in prestigious journals such as Lara D. Veeken, Journal of Family Psychology and Milbank Quarterly.

In The Last Decade

M. Cameron Hay

29 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
M. Cameron Hay	268	103	92	82	76	31	735
Cheryl L. Shigaki	207 0.8×	80 0.8×	138 1.5×	64 0.8×	131 1.7×	31	851
Thor Lithman	185 0.7×	135 1.3×	56 0.6×	141 1.7×	100 1.3×	29	627
Sheila Cyril	386 1.4×	96 0.9×	124 1.3×	104 1.3×	182 2.4×	29	897
Sheila Davis	321 1.2×	80 0.8×	85 0.9×	39 0.5×	109 1.4×	44	903
Jong‐Yi Wang	283 1.1×	87 0.8×	76 0.8×	104 1.3×	99 1.3×	52	773
Christine Smith	226 0.8×	54 0.5×	103 1.1×	61 0.7×	153 2.0×	46	878
Stephanie L. McFall	285 1.1×	175 1.7×	82 0.9×	141 1.7×	173 2.3×	33	784
Margo‐Lea Hurwicz	255 1.0×	76 0.7×	152 1.7×	160 2.0×	61 0.8×	32	740
Jennifer A. Makelarski	448 1.7×	110 1.1×	83 0.9×	132 1.6×	116 1.5×	52	896
Annie Hawton	279 1.0×	85 0.8×	92 1.0×	197 2.4×	88 1.2×	44	742

Countries citing papers authored by M. Cameron Hay

Since Specialization

Citations

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

Fields of papers citing papers by M. Cameron Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Cameron Hay

This figure shows the co-authorship network connecting the top 25 collaborators of M. Cameron Hay. A scholar is included among the top collaborators of M. Cameron Hay 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 M. Cameron Hay. M. Cameron Hay 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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