Clara Li

27 papers receiving 271 citations

Peers

Clara Li
Comparison fields: 5 of 62
  • Psychiatry and Mental health 90
  • Geriatrics and Gerontology 6
  • Agronomy and Crop Science 19
  • Demography 21
  • Computational Mathematics 1
Replace Lalit Sankhe with:
Lalit Sankhe India
Eric J. Linskens United States
Rozanne Wilson Canada
Pekka Vartiainen Finland
Cathrien R. L. Beishuizen Netherlands
SeolHwa Moon South Korea
P. K. Loh Australia
Elizabeth E. Baum United States
Adria Quigley Canada
Robert Shaw United Kingdom
Clara Li relative to Lalit Sankhe India Lalit Sankhe's profile →
Citations per field
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Lalit Sankhe · 1×
Citations per year

Countries citing papers authored by Clara Li

Since Specialization
Citations

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

Fields of papers citing papers by Clara Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clara Li, 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 Clara Li Line = papers co-authored together Clara Li 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 201765
2 202042
3 201430
4 200924
5 202424
6 201814
7 202414
8 202110
9 20228
10 20167
11 20237
12 20216
13 20214
14 20184
15 20233
16 20213
17 20243
18 20162
19 20231
20 20251

About Clara Li

Clara Li is a scholar working on Psychiatry and Mental health, Demography, Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Pharmaceutical Science, having authored 31 papers that have together received 279 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (18 papers), Technology Use by Older Adults (3 papers), Frailty in Older Adults (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Sharing Economy and Platforms (1 paper), Animal Disease Management and Epidemiology (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Psychiatry and Mental health (90 citations), Geriatrics and Gerontology (6 citations), Agronomy and Crop Science (19 citations), Demography (21 citations) and Computational Mathematics (1 citation). Clara Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Judith A. Neugroschl, Carolyn Wei Zhu, Mary Sano, Paul S. S Aisen, Steven H. Ferris, Xiaodong Luo, Amy Starr Aloysi, Jane K Martin, Margaret C. Sewell and Mary C. Sano. Their work appears in journals such as Alzheimer s & Dementia, Alzheimer Disease & Associated Disorders, Journal of Alzheimer s Disease, Journal of Geriatric Psychiatry and Neurology and Avian Pathology.

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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