Xiaomin Nie

1.5k citations
48 papers · 1.1k · h-index 19

Impact in

Papers in

Xiaomin Nie

48 papers receiving 1.1k citations

Peers

Xiaomin Nie
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 372
  • Endocrinology, Diabetes and Metabolism 276
  • Nutrition and Dietetics 198
  • Pollution 86
  • Pharmacology 107
Replace Hualing Zhai with:
Hualing Zhai China
Zhen Cang China
Meng Lu China
Eleni Kandaraki Greece
Natalia Pawlas Poland
Boren Jiang China
Bernard Man Yung Cheung Hong Kong
Fangzhen Xia China
Suk Chon South Korea
Juan Carlos Martı́n-Escudero Spain
Xiaomin Nie relative to Hualing Zhai China Hualing Zhai's profile →
Citations per field
00.5×1.5×
Hualing Zhai · 1×
Citations per year

Countries citing papers authored by Xiaomin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2 201778
3 201676
4 201571
5 201771
6 201751
7 201747
8 201746
9 202046
10 201745
11 201844
12 202043
13 201739
14 201538
15 201634
16 201732
17 201125
18 202021
19 201819
20 202118

About Xiaomin Nie

Xiaomin Nie is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Nutrition and Dietetics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Heavy Metal Exposure and Toxicity (8 papers), Trace Elements in Health (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Birth, Development, and Health (4 papers), Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (372 citations), Endocrinology, Diabetes and Metabolism (276 citations), Nutrition and Dietetics (198 citations), Pollution (86 citations) and Pharmacology (107 citations). Xiaomin Nie has collaborated with scholars based in China, United States and India. Frequent co-authors include Ningjian Wang, Yingli Lu, Chi Chen, Bing Han, Hualing Zhai, Zhen Cang, Fangzhen Xia, Yingchao Chen, Li Zhao and Honglin Sun. Their work appears in journals such as Scientific Reports, BMC Endocrine Disorders, Thyroid, Obesity Facts and Environmental Science and Pollution 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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