Xiaoling Ni

1.8k citations
50 papers · 1.5k · h-index 18

Impact in

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 21
    • Cancer-related molecular mechanisms research 3

Xiaoling Ni

50 papers receiving 1.5k citations

Peers

Xiaoling Ni
Comparison fields: 5 of 89
  • Biochemistry 117
  • Cancer Research 200
  • Endocrinology, Diabetes and Metabolism 186
  • Drug Discovery 3
  • Oncology 203
Replace Hiroyasu Sakai with:
Hiroyasu Sakai Japan
Palanisamy Nallasamy United States
Caterina Messa Italy
Auemduan Prawan Thailand
Genoveva Murillo United States
Dominique J Bernard-Gallon France
Jong Kyu Woo South Korea
Motofumi Kumazoe Japan
Yonghong Meng United States
Aune Moro United States
Xiaoling Ni relative to Hiroyasu Sakai Japan Hiroyasu Sakai's profile →
Citations per field
00.5×2×2.7×
Hiroyasu Sakai · 1×
Citations per year

Countries citing papers authored by Xiaoling Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013294
2 2013157
3 2018120
4 2018111
5 201595
6 201178
7 201571
8 201469
9 201258
10 202243
11 200931
12 201231
13 202028
14 201827
15 201924
16 202220
17 201819
18 201919
19 201915
20 201913

About Xiaoling Ni

Xiaoling Ni is a scholar working on Surgery, Cancer Research, Oncology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (21 papers), Pancreatic and Hepatic Oncology Research (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Plant tissue culture and regeneration (3 papers), Natural Antidiabetic Agents Studies (3 papers), Cancer Cells and Metastasis (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Biochemistry (117 citations), Cancer Research (200 citations), Endocrinology, Diabetes and Metabolism (186 citations), Drug Discovery (3 citations) and Oncology (203 citations). Xiaoling Ni has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guoyin Kai, Jianbo Xiao, Xun Cai, Dayong Jin, Tiantao Kuang, Wenchuan Wu, Yefei Rong, Tao Suo, Lijie Cui and Dansong Wang. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, Cancer Science, BMC Cancer, Phytochemistry Reviews and Cancer Management and 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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