Qing Ling

53 papers receiving 786 citations

Peers

Qing Ling
Comparison fields: 5 of 110
  • Urology 95
  • Condensed Matter Physics 111
  • Surfaces, Coatings and Films 55
  • Biomedical Engineering 237
  • Critical Care and Intensive Care Medicine 18
Replace Assunta Fabozzo with:
Assunta Fabozzo Italy
Chuan Jiang China
Li Zou Hong Kong
Raymond Labbé Canada
Gianfranco Beniamino Fiore Italy
Andrea Visani Italy
Haiyang Yu China
David M. Hoganson United States
Mathias Wilhelmi Germany
Faisal Sharif Ireland
Qing Ling relative to Assunta Fabozzo Italy Assunta Fabozzo's profile →
Citations per field
00.5×10×15.8×
Assunta Fabozzo · 1×
Citations per year

Countries citing papers authored by Qing Ling

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021183
2 202097
3 202259
4 202137
5 200336
6 201927
7 201924
8 200420
9 201619
10 201917
11 201515
12 202414
13 201514
14
TGF-β/MAPK signaling mediates the effects of bone marrow mesenchymal stem cells on urinary control and interstitial cystitis after urinary bladder transplantation.
201713
15 201813
16 202212
17 202312
18 201712
19 202111
20 202111

About Qing Ling

Qing Ling is a scholar working on Urology, Surgery, Hematology, Epidemiology and Rheumatology, having authored 58 papers that have together received 792 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (12 papers), Acute Myeloid Leukemia Research (5 papers), Pelvic floor disorders treatments (4 papers), Lymphoma Diagnosis and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Urology (95 citations), Condensed Matter Physics (111 citations), Surfaces, Coatings and Films (55 citations), Biomedical Engineering (237 citations) and Critical Care and Intensive Care Medicine (18 citations). Qing Ling has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiaxin Wang, Yueying Yang, Jianfeng Zang, Liu Wang, Youzhou Yang, Xurui Liu, Hanchuan Tang, Yuting Zhou, Cheng Zhou and Yuan Bo Peng. Their work appears in journals such as Diagnostic Pathology, International Journal of Surgery, Neuromodulation Technology at the Neural Interface, IACR Transactions on Symmetric Cryptology and Advanced Healthcare Materials.

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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