Danan Gu

122 papers receiving 5.4k citations

Danan Gu's Hit Papers

Major Trends in Population Growth Around the World 2021 · 335 citations
3350+4+8Years since publication250500750

Peers

Danan Gu
Comparison fields: 5 of 197
  • Neuropsychology and Physiological Psychology 451
  • Health 2.1k
  • Geriatrics and Gerontology 466
  • Demography 973
  • General Health Professions 1.4k
Replace Yaohui Zhao with:
Yaohui Zhao China
Yi Zeng China
Naoki Kondo Japan
John Beard Australia
Jean‐Marie Robine France
Katsunori Kondo Japan
David H. Rehkopf United States
Mai Stafford United Kingdom
Philippa Clarke United States
Sergei Scherbov Austria
Danan Gu relative to Yaohui Zhao China Yaohui Zhao's profile →
Citations per field
00.5×1.5×1.9×
Yaohui Zhao · 1×
Citations per year

Countries citing papers authored by Danan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Danan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
World population stabilization unlikely this century
Hit paper breakdown →
2014921
2
Major Trends in Population Growth Around the World
Hit paper breakdown →
2021335
3
Urban-rural differences in the association between access to healthcare and health outcomes among older adults in China
Hit paper breakdown →
2017207
4 2009172
5
Encyclopedia of Gerontology and Population Aging
Hit paper breakdown →
2021168
6 2007155
7 2008152
8 2009152
9 2010144
10 2013106
11 200698
12 201198
13 200791
14 201090
15 200885
16 201683
17 201480
18 200879
19 200979
20 200872

About Danan Gu

Danan Gu is a scholar working on Health, General Health Professions, Demography, Sociology and Political Science and Neuropsychology and Physiological Psychology, having authored 126 papers that have together received 5.6k indexed citations. Recurring topics across this work include Health disparities and outcomes (73 papers), Global Health Care Issues (37 papers), Intergenerational Family Dynamics and Caregiving (30 papers), Insurance, Mortality, Demography, Risk Management (16 papers), Aging and Gerontology Research (16 papers), Migration, Aging, and Tourism Studies (13 papers), Retirement, Disability, and Employment (11 papers) and Healthcare Systems and Reforms (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (451 citations), Health (2.1k citations), Geriatrics and Gerontology (466 citations), Demography (973 citations) and General Health Professions (1.4k citations). Danan Gu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yi Zeng, Matthew E. Dupre, Matthew E. Dupre, Qiushi Feng, Zhenmei Zhang, Jessica M. Sautter, Fang Yang, Qiu Li, Kirill Andreev and Ming Wen. Their work appears in journals such as BMC Geriatrics, The Journals of Gerontology Series B, Social Science & Medicine, Archives of Gerontology and Geriatrics and Demographic Research.

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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