Katelyn V. Chiang

15 total papers · 977 total citations
9 papers, 228 citations indexed

About

Katelyn V. Chiang is a scholar working on Epidemiology, General Health Professions and Nutrition and Dietetics. According to data from OpenAlex, Katelyn V. Chiang has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in General Health Professions and 4 papers in Nutrition and Dietetics. Recurrent topics in Katelyn V. Chiang's work include Breastfeeding Practices and Influences (7 papers), Infant Nutrition and Health (3 papers) and Child Nutrition and Feeding Issues (3 papers). Katelyn V. Chiang is often cited by papers focused on Breastfeeding Practices and Influences (7 papers), Infant Nutrition and Health (3 papers) and Child Nutrition and Feeding Issues (3 papers). Katelyn V. Chiang collaborates with scholars based in United States. Katelyn V. Chiang's co-authors include Cria G. Perrine, Erica H. Anstey, Ruowei Li, Jennifer Nelson, Ellen O. Boundy, Daurice A. Grossniklaus, Andrea J. Sharma, Christine K. Olson, Erin K. Sauber‐Schatz and Laurin Kasehagen and has published in prestigious journals such as American Journal of Public Health, MMWR Morbidity and Mortality Weekly Report and Frontiers in Pediatrics.

In The Last Decade

Katelyn V. Chiang

9 papers receiving 212 citations

Author Peers

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

Author Last Decade Papers Cites
Katelyn V. Chiang 161 92 63 60 59 9 228
Luiz Antonio Del Ciampo 174 1.1× 65 0.7× 80 1.3× 37 0.6× 37 0.6× 13 235
Natasha K. Sriraman 197 1.2× 103 1.1× 95 1.5× 42 0.7× 41 0.7× 15 279
Sharon Radzyminski 217 1.3× 83 0.9× 131 2.1× 90 1.5× 64 1.1× 15 314
Laura Bernaix 206 1.3× 67 0.7× 149 2.4× 106 1.8× 57 1.0× 11 318
Erin Murray 163 1.0× 118 1.3× 111 1.8× 91 1.5× 81 1.4× 9 302
Nahid Maleki-Saghooni 147 0.9× 62 0.7× 84 1.3× 97 1.6× 27 0.5× 13 252
Lída Lhotská 132 0.8× 162 1.8× 46 0.7× 114 1.9× 72 1.2× 15 296
Kerri McEgan 205 1.3× 58 0.6× 94 1.5× 65 1.1× 25 0.4× 10 277
Clara Alonso Díaz 112 0.7× 44 0.5× 27 0.4× 74 1.2× 15 0.3× 18 244
Alfredo Pérez 165 1.0× 115 1.3× 65 1.0× 83 1.4× 61 1.0× 12 293

Countries citing papers authored by Katelyn V. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Katelyn V. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelyn V. Chiang. 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 Katelyn V. Chiang. The network helps show where Katelyn V. Chiang may publish in the future.

Co-authorship network of co-authors of Katelyn V. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Katelyn V. Chiang. A scholar is included among the top collaborators of Katelyn V. Chiang 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 Katelyn V. Chiang. Katelyn V. Chiang 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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