Connie Lu

612 citations
32 papers · 407 · h-index 9

Impact in

Papers in

Connie Lu

32 papers receiving 400 citations

Peers

Connie Lu
Comparison fields: 5 of 82
  • Speech and Hearing 47
  • General Health Professions 147
  • Public Health, Environmental and Occupational Health 137
  • Pharmacy 17
  • Health 26
Replace Taneisha S. Scheuermann with:
Taneisha S. Scheuermann United States
Jennifer Kahende United States
Brittney Keller‐Hamilton United States
Ceri Phelps United Kingdom
Isabel Pardo García Spain
Marlein Ausems Netherlands
John R. Seffrin United States
Mary Salmon United States
Anne Philipneri Canada
Michelle O’Hegarty United States
Connie Lu relative to Taneisha S. Scheuermann United States Taneisha S. Scheuermann's profile →
Citations per field
00.5×1.5×
Taneisha S. Scheuermann · 1×
Citations per year

Countries citing papers authored by Connie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Connie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie Lu. 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 Connie Lu. The network helps show where Connie Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Connie Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Connie Lu Line = papers co-authored together Connie Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 201049
3 201631
4 201929
5 202024
6 201324
7 200912
8 202211
9 20199
10 20217
11 20207
12 20217
13 20217
14 20215
15 20204
16 20214
17 20203
18 20223
19 20233
20 20232

About Connie Lu

Connie Lu is a scholar working on General Health Professions, Economics and Econometrics, Oncology, Public Health, Environmental and Occupational Health and Surgery, having authored 32 papers that have together received 407 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Primary Care and Health Outcomes (9 papers), Patient Satisfaction in Healthcare (4 papers), Health disparities and outcomes (3 papers), Colorectal Cancer Screening and Detection (3 papers), Global Cancer Incidence and Screening (3 papers), Food Security and Health in Diverse Populations (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Speech and Hearing (47 citations), General Health Professions (147 citations), Public Health, Environmental and Occupational Health (137 citations), Pharmacy (17 citations) and Health (26 citations). Connie Lu has collaborated with scholars based in United States, Belgium and Taiwan. Frequent co-authors include Christina Fung, Stefan Kuhle, Paul J. Veugelers, Megan Purcell, Kate Storey, Nadereh Pourat, Alek Sripipatana, Thomas C. Leeper, Xiangping Qu and Gabriele Varani. Their work appears in journals such as PLoS ONE, Health Affairs, Annals of Plastic Surgery, Community Dentistry And Oral Epidemiology and The Journal of Rural Health.

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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