Keding Hua

13 papers receiving 544 citations

Peers

Keding Hua
Comparison fields: 5 of 72
  • Rehabilitation 81
  • Endocrinology, Diabetes and Metabolism 71
  • Geriatrics and Gerontology 14
  • Endocrine and Autonomic Systems 19
  • Immunology 57
Replace Ercan Baştu with:
Ercan Baştu Türkiye
Jarosław Bogaczewicz Poland
G Snelli Italy
Letícia de Almeida Brondani Brazil
Marcus Krüger Germany
M.-P. Vasson France
Guohua Deng China
Mushtaq Ahmed United States
Murilo Rezende Melo Brazil
Sarah A. Gardner United States
Keding Hua relative to Ercan Baştu Türkiye Ercan Baştu's profile →
Citations per field
00.5×8.1×
Ercan Baştu · 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

13 of 13 papers shown
#Work
1 201089
2 200984
3
Piwil2 is expressed in various stages of breast cancers and has the potential to be used as a novel biomarker.
201083
4 200277
5 200969
6
Piwil2 expressed in various stages of cervical neoplasia is a potential complementary marker for p16.
201055
7 200840
8 200927
9 201115
10 200513
11 20018
12 20032
13 20061

About Keding Hua

Keding Hua is a scholar working on Geriatrics and Gerontology, Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 563 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Frailty in Older Adults (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Virus-based gene therapy research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Opioid Use Disorder Treatment (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Rehabilitation (81 citations), Endocrinology, Diabetes and Metabolism (71 citations), Geriatrics and Gerontology (14 citations), Endocrine and Autonomic Systems (19 citations) and Immunology (57 citations). Keding Hua has collaborated with scholars based in United States and Japan. Frequent co-authors include David Jarjoura, Susan Hazelett, Kyle R. Allen, Kathy Wright, Matthew D. Ringel, Richard T. Kloos, Rebecca Nagy, Jonghan Kim, Latha P. Ganesan and Clark L. Anderson. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, The Journal of Clinical Endocrinology & Metabolism, Journal of Reproductive Immunology, Population Health Management and The Journal of 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.

Explore authors with similar magnitude of impact