Y. Claire Wang

641 total citations · 1 hit paper
7 papers, 342 citations indexed

About

Y. Claire Wang is a scholar working on General Health Professions, Epidemiology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Y. Claire Wang has authored 7 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 2 papers in Epidemiology and 2 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Y. Claire Wang's work include Public Health Policies and Education (4 papers), Global Public Health Policies and Epidemiology (2 papers) and Data-Driven Disease Surveillance (2 papers). Y. Claire Wang is often cited by papers focused on Public Health Policies and Education (4 papers), Global Public Health Policies and Epidemiology (2 papers) and Data-Driven Disease Surveillance (2 papers). Y. Claire Wang collaborates with scholars based in United States and China. Y. Claire Wang's co-authors include Karen B. DeSalvo, Patrick W. O’Carroll, Andrea Harris, John Auerbach, Denise Koo, Hongfeng Li, Wei Wang, Ryan T. Demmer, James Colgrove and Gina S. Lovasi and has published in prestigious journals such as American Journal of Public Health, BMC Public Health and BMJ Open.

In The Last Decade

Y. Claire Wang

6 papers receiving 329 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Public Health 3.0: A Call to Action for Public Health to Meet the Challenges of the 21st Century

2017 283 citations Karen B. DeSalvo, Y. Claire Wang et al. Preventing Chronic Disease profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Y. Claire Wang United States	5	262	51	34	34	30	7	342
G. S. Preetha India	6	120 0.5×	30 0.6×	44 1.3×	23 0.7×	32 1.1×	11	275
Cruz Pascual Spain	12	141 0.5×	95 1.9×	73 2.1×	23 0.7×	17 0.6×	22	322
Marlynn L. May United States	9	195 0.7×	27 0.5×	37 1.1×	39 1.1×	11 0.4×	13	378
Peggy A. Honoré United States	12	315 1.2×	49 1.0×	31 0.9×	151 4.4×	13 0.4×	42	440
Sume Ndumbe‐Eyoh Canada	7	163 0.6×	48 0.9×	28 0.8×	37 1.1×	59 2.0×	8	245
Alyson Learmonth United Kingdom	10	212 0.8×	28 0.5×	56 1.6×	19 0.6×	20 0.7×	18	325
Sarah Viehbeck Canada	9	153 0.6×	21 0.4×	43 1.3×	19 0.6×	26 0.9×	19	252
Gwyn Jolley Australia	11	201 0.8×	71 1.4×	26 0.8×	39 1.1×	25 0.8×	14	271
Amber Haley United States	4	217 0.8×	37 0.7×	54 1.6×	36 1.1×	14 0.5×	8	285
Taiwo Obembe Nigeria	11	86 0.3×	22 0.4×	45 1.3×	27 0.8×	19 0.6×	35	271

Countries citing papers authored by Y. Claire Wang

Since Specialization

Citations

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

Fields of papers citing papers by Y. Claire Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Claire Wang. 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 Y. Claire Wang. The network helps show where Y. Claire Wang may publish in the future.

Co-authorship network of co-authors of Y. Claire Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Claire Wang. A scholar is included among the top collaborators of Y. Claire Wang 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 Y. Claire Wang. Y. Claire Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Jin, Yuanyuan, et al.. (2025). Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models. BMC Public Health. 25(1). 780–780.

2.

Wang, Y. Claire, et al.. (2024). Trends in the burden of female infertility among adults aged 20–49 years during 1990–2019: an analysis of data from the Global Burden of Disease Study 2019. BMJ Open. 14(7). e084755–e084755. 7 indexed citations

3.

Wang, Y. Claire & Karen B. DeSalvo. (2018). Timely, Granular, and Actionable: Informatics in the Public Health 3.0 Era. American Journal of Public Health. 108(7). 930–934. 18 indexed citations

4.

DeSalvo, Karen B., Y. Claire Wang, Andrea Harris, et al.. (2017). Public Health 3.0: A Call to Action for Public Health to Meet the Challenges of the 21st Century. NAM Perspectives. 7(9). 23 indexed citations

5.

Demmer, Ryan T., et al.. (2017). Cataloging the Bloomberg era: New York City legislation relevant to cardiovascular risk factors. Cities & Health. 1(2). 125–138. 3 indexed citations

6.

DeSalvo, Karen B., Y. Claire Wang, Andrea Harris, et al.. (2017). Public Health 3.0: A Call to Action for Public Health to Meet the Challenges of the 21st Century. Preventing Chronic Disease. 14. E78–E78. 283 indexed citations breakdown →

7.

DeSalvo, Karen B. & Y. Claire Wang. (2016). Health Informatics in the Public Health 3.0 Era: Intelligence for the Chief Health Strategists. Journal of Public Health Management and Practice. 22(Supplement 6). S1–S2. 8 indexed citations

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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