Fangzhen Xia

63 papers receiving 1.8k citations

Peers

Fangzhen Xia
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 546
  • Health, Toxicology and Mutagenesis 307
  • Nephrology 117
  • Reproductive Medicine 132
  • Pathology and Forensic Medicine 263
Replace Hirokazu Uemura with:
Hirokazu Uemura Japan
Bing Han China
Mustafa Kendırcı Türkiye
La‐or Chailurkit Thailand
Boonsong Ongphiphadhanakul Thailand
Maria Carolina Borges United Kingdom
Ashraf Aminorroaya Iran
Hualing Zhai China
Renzhe Cui Japan
Andrzej Milewicz Poland
Fangzhen Xia relative to Hirokazu Uemura Japan Hirokazu Uemura's profile →
Citations per field
00.5×1.5×2.4×
Hirokazu Uemura · 1×
Citations per year

Countries citing papers authored by Fangzhen Xia

Since Specialization
Citations

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

Fields of papers citing papers by Fangzhen Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 2018113
3 201599
4 201685
5 201778
6 201678
7 201676
8 201567
9 201557
10 201657
11 201756
12 201751
13 201846
14 201844
15 201342
16 202139
17 201538
18 201737
19 202036
20 202034

About Fangzhen Xia

Fangzhen Xia is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Pathology and Forensic Medicine, Physiology and Molecular Biology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Vitamin D Research Studies (7 papers), Diet and metabolism studies (7 papers), Heavy Metal Exposure and Toxicity (6 papers), Ovarian function and disorders (6 papers), Birth, Development, and Health (5 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (546 citations), Health, Toxicology and Mutagenesis (307 citations), Nephrology (117 citations), Reproductive Medicine (132 citations) and Pathology and Forensic Medicine (263 citations). Fangzhen Xia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yingli Lu, Ningjian Wang, Bing Han, Chi Chen, Yingchao Chen, Hualing Zhai, Chunfang Zhu, Yi Chen, Meng Lu and Zhen Cang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Reproductive Biology and Endocrinology, Environmental Science and Pollution Research, Diabetes Metabolic Syndrome and Obesity and Frontiers in Endocrinology.

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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