Xiaoling Niu

999 citations
44 papers · 646 · 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

    • Global Cancer Incidence and Screening 8
    • Colorectal Cancer Screening and Detection 4
    • Renal Diseases and Glomerulopathies 7

Xiaoling Niu

39 papers receiving 632 citations

Peers

Xiaoling Niu
Comparison fields: 5 of 103
  • Oncology 309
  • Nephrology 48
  • Cancer Research 65
  • Economics and Econometrics 104
  • Pulmonary and Respiratory Medicine 106
Replace Ümit Tapan with:
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Robert J. S. Thomas Australia
Fadi El Karak Lebanon
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013204
2 200967
3 201047
4 202239
5 201127
6 201825
7 201721
8 201818
9 201918
10
The impact of patient follow-up on population-based survival rates.
201016
11 201613
12 201612
13 201512
14 202111
15 201610
16
P53 inhibitor pifithrin-α prevents the renal tubular epithelial cells against injury.
201610
17 20169
18 20139
19 20239
20 20258

About Xiaoling Niu

Xiaoling Niu is a scholar working on Oncology, Nephrology, Electrical and Electronic Engineering, Materials Chemistry and Epidemiology, having authored 44 papers that have together received 646 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Renal Diseases and Glomerulopathies (7 papers), Organic Light-Emitting Diodes Research (6 papers), Economic and Financial Impacts of Cancer (4 papers), Luminescence and Fluorescent Materials (4 papers), Colorectal Cancer Screening and Detection (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Oncology (309 citations), Nephrology (48 citations), Cancer Research (65 citations), Economics and Econometrics (104 citations) and Pulmonary and Respiratory Medicine (106 citations). Xiaoling Niu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include L Roche, Karen Pawlish, Kevin A. Henry, Kevin Henry, Francis P. Boscoe, Wenyan Huang, Grant S. Schulert, Hao Sheng, Qianhua Yuan and Liu Wang. Their work appears in journals such as Pediatric Rheumatology, Dyes and Pigments, Medicine, Journal of Materials Chemistry C and Journal of Health Care for the Poor and Underserved.

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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