Xiao-Ping Qi

962 citations
36 papers · 337 · h-index 10

Impact in

Papers in

Xiao-Ping Qi

34 papers receiving 333 citations

Peers

Xiao-Ping Qi
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 119
  • Neurology 75
  • Neurology 20
  • Genetics 67
  • Cancer Research 30
Replace Armanda Tatsas with:
Armanda Tatsas United States
Myriam Rosenberg‐Bourgin France
Güven Toksoy Türkiye
J. V. DIENGDOH United Kingdom
Amaia Sagasta Spain
Saki Nishi United States
Yoshihiko Tomofuji Japan
Erwin Lankes Germany
Rosa Catalano Italy
Jay Zhu United States
Xiao-Ping Qi relative to Armanda Tatsas United States Armanda Tatsas's profile →
Citations per field
00.5×4.8×
Armanda Tatsas · 1×
Citations per year

Countries citing papers authored by Xiao-Ping Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ping Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Ping Qi. 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 Xiao-Ping Qi. The network helps show where Xiao-Ping Qi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200773
2 201139
3
Epidemiology and transmission characteristics of human adenovirus type 7 caused acute respiratory disease outbreak in military trainees in East China.
201629
4 201222
5 202016
6 201516
7 201815
8 201814
9 200514
10 201812
11 20218
12 20228
13 20247
14 20197
15 20136
16 20175
17
[Pseudoangiosarcomatous squamous cell carcinoma of the penis: a case report with clinicopathological and human papilloma virus analyses].
20095
18 20115
19 20244
20 20144

About Xiao-Ping Qi

Xiao-Ping Qi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Epidemiology and Cancer Research, having authored 36 papers that have together received 337 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Neuroendocrine Tumor Research Advances (5 papers), Adrenal and Paraganglionic Tumors (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neuroblastoma Research and Treatments (3 papers), Genetic factors in colorectal cancer (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Neurology (75 citations), Neurology (20 citations), Genetics (67 citations) and Cancer Research (30 citations). Xiao-Ping Qi has collaborated with scholars based in China, Japan and Saudi Arabia. Frequent co-authors include Chun‐Hua Hang, Ji‐Xin Shi, Kefei Chen, Meng‐Liang Zhou, Lei Mao, Huilin Cheng, Jian‐Qiang Zhao, Xianning Zhang, Zhenfang Du and Jun Fei. Their work appears in journals such as Thyroid, Journal of Biosciences, Frontiers in Endocrinology, Frontiers in Oncology and Oncotarget.

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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