Heather M. Padilla

45 total papers · 490 total citations
31 papers, 317 citations indexed

About

Heather M. Padilla is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Heather M. Padilla has authored 31 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in General Health Professions, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Physiology. Recurrent topics in Heather M. Padilla's work include Workplace Health and Well-being (11 papers), Obesity, Physical Activity, Diet (7 papers) and Physical Activity and Health (5 papers). Heather M. Padilla is often cited by papers focused on Workplace Health and Well-being (11 papers), Obesity, Physical Activity, Diet (7 papers) and Physical Activity and Health (5 papers). Heather M. Padilla collaborates with scholars based in United States, Japan and Canada. Heather M. Padilla's co-authors include Mark G. Wilson, David M. DeJoy, Robert J. Vandenberg, Luc Djoussé, T. Nelson, Marsha Davis, J. Michael Gaziano, Kenneth J. Mukamal, J. Michael Gaziano and Phaedra S. Corso and has published in prestigious journals such as Journal of Applied Psychology, American Psychologist and International Journal of Environmental Research and Public Health.

In The Last Decade

Heather M. Padilla

28 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Heather M. Padilla	148	90	77	64	64	31	317
Megan MacPherson	137 0.9×	40 0.4×	62 0.8×	29 0.5×	45 0.7×	37	307
C. Catalina-Romero	102 0.7×	50 0.6×	46 0.6×	36 0.6×	47 0.7×	23	302
Soheila Ehsanpour	64 0.4×	125 1.4×	32 0.4×	32 0.5×	27 0.4×	53	347
Elena Dimova	131 0.9×	44 0.5×	19 0.2×	68 1.1×	28 0.4×	29	356
Haocen Wang	97 0.7×	42 0.5×	37 0.5×	36 0.6×	29 0.5×	23	329
Su‐Hui Chen	92 0.6×	51 0.6×	44 0.6×	32 0.5×	32 0.5×	23	313
Jeff Susman	128 0.9×	73 0.8×	20 0.3×	31 0.5×	36 0.6×	17	298
Sue Shea	91 0.6×	46 0.5×	36 0.5×	72 1.1×	37 0.6×	21	291
Jennifer Kawi	109 0.7×	56 0.6×	17 0.2×	36 0.6×	42 0.7×	42	359
Onur Hamzaoğlu	46 0.3×	102 1.1×	29 0.4×	24 0.4×	35 0.5×	26	331

Countries citing papers authored by Heather M. Padilla

Since Specialization

Citations

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

Fields of papers citing papers by Heather M. Padilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather M. Padilla

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