Qiuling Shi

7.2k citations
249 papers · 4.3k · h-index 33

Impact in

Papers in

Qiuling Shi

221 papers receiving 4.2k citations

Peers

Qiuling Shi
Comparison fields: 5 of 131
  • Oncology 1.3k
  • Otorhinolaryngology 152
  • Hematology 229
  • Anesthesiology and Pain Medicine 104
  • Rheumatology 250
Replace David I. Watson with:
David I. Watson Australia
Milada Cvancarova Norway
Karin Jordan Germany
Rui Qin United States
Mikael Rørth Denmark
Victor T. Chang United States
Masataka Taguri Japan
Andrea Cheville United States
Kimberly Webster United States
Peter Richardson United States
Qiuling Shi relative to David I. Watson Australia David I. Watson's profile →
Citations per field
00.5×3.4×
David I. Watson · 1×
Citations per year

Countries citing papers authored by Qiuling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qiuling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2011219
3 2011157
4 2010154
5 2016123
6
Marked inhibition of tumor growth in a malignant glioma tumor model by a novel synthetic matrix metalloproteinase inhibitor AG3340.
1999123
7 2018111
8 201297
9 201596
10 200495
11 200567
12 201067
13 202066
14 201766
15 200865
16 200964
17 200563
18 201460
19 201458
20 201754

About Qiuling Shi

Qiuling Shi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Surgery and Obstetrics and Gynecology, having authored 249 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer survivorship and care (35 papers), Lung Cancer Diagnosis and Treatment (17 papers), Cancer Treatment and Pharmacology (15 papers), Multiple Myeloma Research and Treatments (14 papers), Endometriosis Research and Treatment (14 papers), Uterine Myomas and Treatments (12 papers), Folate and B Vitamins Research (7 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Oncology (1.3k citations), Otorhinolaryngology (152 citations), Hematology (229 citations), Anesthesiology and Pain Medicine (104 citations) and Rheumatology (250 citations). Qiuling Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Charles S. Cleeland, Xin Shelley Wang, Tito R. Mendoza, Loretta A. Williams, Margaret R. Spitz, Qingyi Wei, Kevin Stein, Tenbroeck Smith, Chiewkwei Kaw and Jared D. Michonski. Their work appears in journals such as International Journal of Hyperthermia, Journal of Clinical Oncology, Blood, Annals of Surgical Oncology and BMJ Open.

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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