Huafa Que

557 citations
28 papers · 335 · h-index 9

Impact in

Papers in

Huafa Que

24 papers receiving 329 citations

Peers

Huafa Que
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 124
  • Rehabilitation 28
  • Geriatrics and Gerontology 12
  • Complementary and alternative medicine 15
  • Reproductive Medicine 13
Replace Gregor Holzer with:
Gregor Holzer Austria
Malek Moien Ansar Iran
Chikaaki Kobashi Japan
Maurycy Jonas Poland
Jiayi Yan China
Xuefeng Li China
Mohamed M. S. Gaballa Egypt
Torunn Kristin Nestvold Norway
Nicholas J. Woudberg South Africa
Huafa Que relative to Gregor Holzer Austria Gregor Holzer's profile →
Citations per field
00.5×2×4×5.0×
Gregor Holzer · 1×
Citations per year

Countries citing papers authored by Huafa Que

Since Specialization
Citations

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

Fields of papers citing papers by Huafa Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022128
2 202240
3 202124
4 201924
5 202418
6 202213
7 202313
8 201413
9 20228
10 20247
11 20216
12 20245
13 20075
14 20045
15 20234
16 20054
17 20194
18 20053
19 20242
20 20242

About Huafa Que

Huafa Que is a scholar working on Endocrinology, Diabetes and Metabolism, Rehabilitation, Molecular Biology, Complementary and alternative medicine and Surgery, having authored 28 papers that have together received 335 indexed citations. Recurring topics across this work include Wound Healing and Treatments (5 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Thyroid Disorders and Treatments (3 papers), Traditional Chinese Medicine Studies (2 papers), Pressure Ulcer Prevention and Management (2 papers), Medical Research and Treatments (2 papers), Sirtuins and Resveratrol in Medicine (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (124 citations), Rehabilitation (28 citations), Geriatrics and Gerontology (12 citations), Complementary and alternative medicine (15 citations) and Reproductive Medicine (13 citations). Huafa Que has collaborated with scholars based in China and Russia. Frequent co-authors include Xiaojie Hu, Yuquan Chen, Rui Tian, Wenting Fei, Yuxin Yang, Meng Xing, Xuanyu Wang, Yi Ru, Yi‐Ting Shen and Xin Chen. Their work appears in journals such as Frontiers in Endocrinology, Diabetes Metabolic Syndrome and Obesity, Frontiers in Public Health, Biochemical Genetics and PLoS ONE.

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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