Qin L

28 papers receiving 454 citations

Peers

Qin L
Comparison fields: 5 of 92
  • Transplantation 44
  • Immunology 165
  • Genetics 127
  • Immunology and Allergy 23
  • Surgery 137
Replace Jennifer Woodward with:
Jennifer Woodward United States
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Giovanni A. M. Povoleri United Kingdom
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Qin L relative to Jennifer Woodward United States Jennifer Woodward's profile →
Citations per field
00.5×11.7×
Jennifer Woodward · 1×
Citations per year

Countries citing papers authored by Qin L

Since Specialization
Citations

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

Fields of papers citing papers by Qin L

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996160
2
Multiple vectors effectively achieve gene transfer in a murine cardiac transplantation model. Immunosuppression with TGF-beta 1 or vIL-10.
1995110
3 199484
4 201921
5 202014
6
Synthesis Evaluation Method for Node Importance in Complex Networks
20159
7 20257
8 20197
9
Anti-CD2 monoclonal antibodies synergize with anti-CD3 to prolong allograft survival and decrease cytokine production.
19936
10 20255
11 20155
12 20244
13 20254
14 20243
15 20253
16 20243
17
HANR Enhances Autophagy-Associated Sorafenib Resistance Through miR-29b/ATG9A Axis in Hepatocellular Carcinoma
20202
18 20192
19
Novel Method of Uncertain Data Modeling and Classification Based on Cloud Model
20142
20 20251

About Qin L

Qin L is a scholar working on Surgery, Molecular Biology, Cancer Research, Biomedical Engineering and General Health Professions, having authored 33 papers that have together received 461 indexed citations. Recurring topics across this work include Environmental and Agricultural Sciences (3 papers), Health Literacy and Information Accessibility (2 papers), Cell Adhesion Molecules Research (2 papers), Virus-based gene therapy research (2 papers), Musculoskeletal pain and rehabilitation (2 papers), RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Transplantation (44 citations), Immunology (165 citations), Genetics (127 citations), Immunology and Allergy (23 citations) and Surgery (137 citations). Qin L has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Kenneth D. Chavin, Jonathan S. Bromberg, Jianhua Lin, Hideaki Tahara, Justin Favaro, Paul D. Robbins, H Yagita, M T Lotze, Yaozhong Ding and Tomonari Suzuki. Their work appears in journals such as Frontiers in Cell and Developmental Biology, BMC Nursing, Nature Communications, American Journal of Obstetrics and Gynecology and The Journal of Experimental Medicine.

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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