Run Lin

1.9k citations
46 papers · 1.5k indexed · h-index 19

Impact in

    • Nanoparticle-Based Drug Delivery
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

Run Lin

43 papers receiving 1.5k citations

Peers

Run Lin
Comparison fields: 5 of 110
  • Biomaterials 394
  • Immunology 360
  • Oncology 390
  • Pharmaceutical Science 77
  • Cancer Research 180
Replace Yongchuan Deng with:
Yongchuan Deng China
Takanori Kawaguchi Japan
Shuang Cai China
Ciprian Tomuleasa Romania
Juan Cheng China
Peipei Xu China
Lijun Ma China
Yue Cai China
Ketki Bhise United States
Ninh M. La‐Beck United States
Run Lin relative to Yongchuan Deng China Yongchuan Deng's profile →
Citations per field
00.5×1.5×2.0×
Yongchuan Deng · 1×
Citations per year

Countries citing papers authored by Run Lin

Since Specialization
Citations

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

Fields of papers citing papers by Run Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017261
2 2018230
3 2020169
4 2013128
5 202080
6 202158
7 201752
8 201952
9 201548
10 201637
11 201735
12 202233
13 201833
14 202126
15 202325
16 201324
17 202422
18 202121
19 202020
20 202416

About Run Lin

Run Lin is a scholar working on Hepatology, Internal Medicine, Emergency Medical Services, Biomaterials and Biological Psychiatry, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (5 papers), Central Venous Catheters and Hemodialysis (5 papers), Graphene and Nanomaterials Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Vascular Procedures and Complications (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Biomaterials (394 citations), Immunology (360 citations), Oncology (390 citations), Pharmaceutical Science (77 citations) and Cancer Research (180 citations). Run Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weiling He, Jin‐Zhi Du, Jun Wang, Hongjun Li, Hui Mao, Jing Huang, Lily Yang, Zunfu Ke, Hui Zhang and Haibo Qiu. Their work appears in journals such as Journal of Materials Chemistry B, Frontiers in Oncology, Biomaterials Science, Circulation Journal and Nitric Oxide.

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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