D. Marcela Garcés

10 total papers · 433 total citations
8 papers, 336 citations indexed

About

D. Marcela Garcés is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Clinical Psychology. According to data from OpenAlex, D. Marcela Garcés has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Clinical Psychology. Recurrent topics in D. Marcela Garcés's work include Cardiovascular Health and Risk Factors (2 papers), Cancer survivorship and care (2 papers) and Migration, Health and Trauma (2 papers). D. Marcela Garcés is often cited by papers focused on Cardiovascular Health and Risk Factors (2 papers), Cancer survivorship and care (2 papers) and Migration, Health and Trauma (2 papers). D. Marcela Garcés collaborates with scholars based in United States and Colombia. D. Marcela Garcés's co-authors include Karen Peters, Sergio Cristancho, Lydia P. Buki, Lori R. Kogan, Bryana H. French, Lucinda L. Bryant, Thomas C. Keyserling, I. Diana Fernandez, Maihan B. Vu and Shin Ping Tu and has published in prestigious journals such as Qualitative Health Research, Cultural Diversity & Ethnic Minority Psychology and Preventing Chronic Disease.

In The Last Decade

D. Marcela Garcés

8 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
D. Marcela Garcés	153	109	95	86	50	8	336
W. Michael Byrd	151 1.0×	104 1.0×	42 0.4×	60 0.7×	74 1.5×	14	339
Georgia Chisnall	153 1.0×	91 0.8×	57 0.6×	137 1.6×	53 1.1×	12	392
Cassandra Simon	122 0.8×	83 0.8×	60 0.6×	167 1.9×	74 1.5×	15	367
Minyoung Jang	111 0.7×	52 0.5×	57 0.6×	92 1.1×	61 1.2×	14	379
Silvie Cooper	153 1.0×	104 1.0×	47 0.5×	120 1.4×	57 1.1×	19	399
Joseph Dalaker	111 0.7×	126 1.2×	59 0.6×	78 0.9×	29 0.6×	10	377
Angelo D. Moore	129 0.8×	63 0.6×	71 0.7×	58 0.7×	66 1.3×	16	352
Olufunmilayo Olopade	108 0.7×	45 0.4×	92 1.0×	35 0.4×	59 1.2×	14	313
C Mathis	118 0.8×	57 0.5×	40 0.4×	54 0.6×	82 1.6×	7	363
Angela Woods	120 0.8×	58 0.5×	41 0.4×	54 0.6×	82 1.6×	5	345

Countries citing papers authored by D. Marcela Garcés

Since Specialization

Citations

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

Fields of papers citing papers by D. Marcela Garcés

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Marcela Garcés. 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 D. Marcela Garcés. The network helps show where D. Marcela Garcés may publish in the future.

Co-authorship network of co-authors of D. Marcela Garcés

This figure shows the co-authorship network connecting the top 25 collaborators of D. Marcela Garcés. A scholar is included among the top collaborators of D. Marcela Garcés 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 D. Marcela Garcés. D. Marcela Garcés 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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