Xiaoling Niu

1.0k citations
43 papers · 661 · h-index 13

Impact in

  • Oncology top 10%
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

Xiaoling Niu

39 papers receiving 648 citations

Peers

Xiaoling Niu
Comparison fields: 5 of 97
  • Oncology 200
  • Nephrology 35
  • Cancer Research 52
  • Pulmonary and Respiratory Medicine 83
  • Endocrinology 14
Replace Supratik Basu with:
Supratik Basu United Kingdom
Robert Klein United States
Tingting Niu China
Enes Erul Türkiye
Ümit Tapan United States
Andreas M. Schmitt Switzerland
Rajshekhar Chakraborty United States
Declan O’Rourke United Kingdom
Christopher Wynne New Zealand
Xiaoling Niu relative to Supratik Basu United Kingdom Supratik Basu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 200968
3 201047
4 202239
5 201127
6 201826
7 201721
8 201818
9 201918
10
The impact of patient follow-up on population-based survival rates.
201016
11 201613
12 201613
13 201512
14 202111
15
P53 inhibitor pifithrin-α prevents the renal tubular epithelial cells against injury.
201610
16 201610
17 202310
18 20139
19 20259
20 20169

About Xiaoling Niu

Xiaoling Niu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Oncology, Nephrology and Immunology, having authored 43 papers that have together received 661 indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (6 papers), Global Cancer Incidence and Screening (5 papers), Renal Diseases and Glomerulopathies (4 papers), Luminescence and Fluorescent Materials (4 papers), Organic Electronics and Photovoltaics (3 papers), Systemic Lupus Erythematosus Research (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Oncology (200 citations), Nephrology (35 citations), Cancer Research (52 citations), Pulmonary and Respiratory Medicine (83 citations) and Endocrinology (14 citations). Xiaoling Niu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include L Roche, Karen Pawlish, Kevin A. Henry, Kevin Henry, Francis P. Boscoe, Wenyan Huang, Hao Sheng, Grant S. Schulert, Qianhua Yuan and Xinwu Pei. Their work appears in journals such as Dyes and Pigments, Journal of Health Care for the Poor and Underserved, Pediatric Rheumatology, Medicine and Journal of Materials Chemistry C.

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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