Shuli Qu

627 citations
31 papers · 403 · h-index 11

Impact in

Papers in

Shuli Qu

29 papers receiving 393 citations

Peers

Shuli Qu
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 109
  • Pharmacy 19
  • Pathology and Forensic Medicine 56
  • Safety, Risk, Reliability and Quality 28
  • General Health Professions 64
Replace R.A. Lahti with:
R.A. Lahti Finland
Robert Feldman United States
Margarida Borges Portugal
Christophe Bonaldi France
Caroline Bower Australia
Antônio José Leal Costa Brazil
Ulrik Hesse Denmark
Małgorzata Pikala Poland
Seyed Mehdi Ahmadi Iran
Erin Keast United States
Shuli Qu relative to R.A. Lahti Finland R.A. Lahti's profile →
Citations per field
00.5×7.8×
R.A. Lahti · 1×
Citations per year

Countries citing papers authored by Shuli Qu

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuli Qu, 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 Shuli Qu Line = papers co-authored together Shuli Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201262
3 201448
4 201521
5 201519
6 201914
7 201814
8 202113
9
Legislations and policies to expand mental health and substance abuse benefits in health insurance plans: a community guide systematic economic review.
201512
10 201811
11 202110
12 202010
13 20229
14 20198
15 20197
16 20227
17 20206
18 20196
19 20125
20 20254

About Shuli Qu

Shuli Qu is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Oncology and General Health Professions, having authored 31 papers that have together received 403 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Diabetes Management and Research (4 papers), Healthcare Policy and Management (4 papers), Prostate Cancer Treatment and Research (4 papers), Obesity, Physical Activity, Diet (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (109 citations), Pharmacy (19 citations), Pathology and Forensic Medicine (56 citations), Safety, Risk, Reliability and Quality (28 citations) and General Health Professions (64 citations). Shuli Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sajal K. Chattopadhyay, Nicolaas P. Pronk, Rui Li, Ping Zhang, Ann Albright, David P. Hopkins, Edward W. Gregg, Lihong Ren, Ye Liu and Suodi Zhai. Their work appears in journals such as American Journal of Preventive Medicine, Diabetes Therapy, Journal of Public Health Management and Practice, Energy and Swiss Medical Weekly.

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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