Lan Gao

106 papers receiving 1.4k citations

Peers

Lan Gao
Comparison fields: 5 of 124
  • Rehabilitation 209
  • Critical Care and Intensive Care Medicine 99
  • Cardiology and Cardiovascular Medicine 433
  • Developmental Neuroscience 59
  • Applied Psychology 60
Replace Ruzan Udumyan with:
Ruzan Udumyan Sweden
Stefanie Deckert Germany
Rachel Couban Canada
Silvia Koton Israel
Dhayana Dallmeier Germany
Julia S. Holmes United States
Jan Berger Belgium
Tracy E. Madsen United States
Juliette Hussey Ireland
M.C. Corti Italy
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Citations per year

Countries citing papers authored by Lan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018221
2 2005134
3 202087
4 202075
5 201245
6 201444
7 202039
8 201835
9 201231
10 201227
11 202222
12 202221
13 201918
14 201818
15 201917
16 201917
17
The Cost-effectiveness of the Online MindSpot Clinic for the Treatment of Depression and Anxiety in Australia.
201716
18 202216
19 201516
20 201916

About Lan Gao

Lan Gao is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Economics and Econometrics, Surgery and General Health Professions, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (29 papers), Health Systems, Economic Evaluations, Quality of Life (24 papers), Stroke Rehabilitation and Recovery (17 papers), Cardiac Health and Mental Health (10 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Peripheral Artery Disease Management (9 papers), Obesity, Physical Activity, Diet (8 papers) and Epilepsy research and treatment (8 papers). The work is most often cited by research in Rehabilitation (209 citations), Critical Care and Intensive Care Medicine (99 citations), Cardiology and Cardiovascular Medicine (433 citations), Developmental Neuroscience (59 citations) and Applied Psychology (60 citations). Lan Gao has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Marj Moodie, Shu‐Chuen Li, Fei-Li Zhao, Jonathan C Rawstorn, Ralph Maddison, David W. Dunstan, Xia Li, Phuong Nguyen, Rame Taha and Yang Wang. Their work appears in journals such as Frontiers in Neurology, BMJ Open, Value in Health Regional Issues, Value in Health and International Journal of Behavioral Nutrition and Physical Activity.

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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