Xinglan Li

630 citations
47 papers · 464 · h-index 12

Impact in

Papers in

Xinglan Li

42 papers receiving 460 citations

Peers

Xinglan Li
Comparison fields: 5 of 80
  • Cancer Research 161
  • Obstetrics and Gynecology 57
  • Molecular Biology 191
  • Pulmonary and Respiratory Medicine 58
  • Complementary and alternative medicine 15
Replace Jing Song with:
Jing Song China
Jia Hu China
Sarah Meister Germany
Inga Bekes Germany
Satoko Eguchi Japan
Ankita Garg Germany
Michel Desjarlais Canada
Xinyi Gao China
Xinglan Li relative to Jing Song China Jing Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xinglan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xinglan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 202233
3 201433
4
SOX9 was involved in TKIs resistance in renal cell carcinoma via Raf/MEK/ERK signaling pathway.
201527
5 201518
6 201218
7 202317
8 202117
9 201514
10 202313
11 201513
12 201912
13 201811
14
Ectopic expression of AP-2α transcription factor suppresses glioma progression.
201410
15 20169
16 20228
17 20058
18 20148
19 20156
20 20226

About Xinglan Li

Xinglan Li is a scholar working on Molecular Biology, Complementary and alternative medicine, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 47 papers that have together received 464 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (3 papers), Nonlinear Photonic Systems (2 papers), Renal cell carcinoma treatment (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Nonlinear Waves and Solitons (2 papers) and Advanced Fiber Laser Technologies (2 papers). The work is most often cited by research in Cancer Research (161 citations), Obstetrics and Gynecology (57 citations), Molecular Biology (191 citations), Pulmonary and Respiratory Medicine (58 citations) and Complementary and alternative medicine (15 citations). Xinglan Li has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Qiao Zhou, Miao Xu, Ling Nie, Xueqin Chen, Mengni Zhang, Jing Gong, Wenjing Su, Ni Chen, Ling Li and Xiaozheng Du. Their work appears in journals such as Medicine, The Prostate, International Journal of Gynecological Cancer, Molecular Cancer and Applied Mathematics Letters.

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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