Keding Hua

14 papers receiving 532 citations

Peers

Keding Hua
Comparison fields: 5 of 84
  • Rehabilitation 109
  • Geriatrics and Gerontology 21
  • Endocrinology, Diabetes and Metabolism 89
  • Epidemiology 135
  • Endocrine and Autonomic Systems 25
Replace Jianmiao Wang with:
Jianmiao Wang China
Özlen Atuğ Türkiye
Ercan Baştu Türkiye
Nasim Khosravi Iran
M.-P. Vasson France
J. Cohen France
Konstantinos Katsikas Triantafyllidis United Kingdom
Masoud Movassaghi United States
Jenny Hoffmann Sweden
Rebecca Miller United States
Keding Hua relative to Jianmiao Wang China Jianmiao Wang's profile →
Citations per field
00.5×11.1×
Jianmiao Wang · 1×
Citations per year

Countries citing papers authored by Keding Hua

Since Specialization
Citations

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

Fields of papers citing papers by Keding Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201088
2 200981
3
Piwil2 is expressed in various stages of breast cancers and has the potential to be used as a novel biomarker.
201080
4 200277
5 200968
6
Piwil2 expressed in various stages of cervical neoplasia is a potential complementary marker for p16.
201053
7 200838
8 200924
9 201115
10 200511
11 20018
12 20253
13 20032
14 20061
15 20250

About Keding Hua

Keding Hua is a scholar working on Epidemiology, General Health Professions, Rehabilitation, Geriatrics and Gerontology and Strategy and Management, having authored 15 papers that have together received 549 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (3 papers), Acute Ischemic Stroke Management (2 papers), Sustainable Supply Chain Management (2 papers), Blood groups and transfusion (2 papers), Frailty in Older Adults (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Geriatric Care and Nursing Homes (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Rehabilitation (109 citations), Geriatrics and Gerontology (21 citations), Endocrinology, Diabetes and Metabolism (89 citations), Epidemiology (135 citations) and Endocrine and Autonomic Systems (25 citations). Keding Hua has collaborated with scholars based in United States, China and Japan. Frequent co-authors include David Jarjoura, Kyle R. Allen, Susan Hazelett, Kathy Wright, Richard T. Kloos, Rebecca Nagy, Matthew D. Ringel, William L. Hayton, Sudhasri Mohanty and Clark L. Anderson. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Journal of Substance Abuse Treatment, Journal of the American Medical Directors Association, Socio-Economic Planning Sciences and Journal of Reproductive Immunology.

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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