Jing Lin

1.9k citations
74 papers · 1.3k · 1 hit paper · h-index 18

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Jing Lin

70 papers receiving 1.3k citations

Jing Lin's Hit Papers

Lenvatinib Targets FGF Receptor 4 to Enhance Antitumor Immune Response of Anti–Programmed Cell Death‐1 in HCC 2021 · 226 citations
2260+1+3Years since publication50100150200

Peers

Jing Lin
Comparison fields: 5 of 106
  • Nephrology 133
  • Hepatology 136
  • Cancer Research 126
  • Immunology 167
  • Geriatrics and Gerontology 24
Replace Maoyin Pang with:
Maoyin Pang United States
Jinpeng Li China
Wenjie Wang China
Sukanta Ray India
Hyun Ju Kim South Korea
Guoqiang Zhang China
Zhangzhe Peng China
Alejandra Romero Spain
Weijie Yuan China
Jing Lin relative to Maoyin Pang United States Maoyin Pang's profile →
Citations per field
00.5×2×3×3.5×
Maoyin Pang · 1×
Citations per year

Countries citing papers authored by Jing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lenvatinib Targets FGF Receptor 4 to Enhance Antitumor Immune Response of Anti–Programmed Cell Death‐1 in HCC
Hit paper breakdown →
2021226
2 2010102
3 201895
4 202079
5 201774
6 201859
7 201359
8 202255
9 202046
10 201040
11 201736
12 201935
13 201825
14 201725
15 201924
16 202421
17 201819
18 201619
19 201716
20 201615

About Jing Lin

Jing Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Epidemiology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Bone Metabolism and Diseases (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Cervical Cancer and HPV Research (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Potassium and Related Disorders (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Nephrology (133 citations), Hepatology (136 citations), Cancer Research (126 citations), Immunology (167 citations) and Geriatrics and Gerontology (24 citations). Jing Lin has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Ling Wang, Da‐Jin Li, Lu Lu, Jinhong Chen, Na Zhang, Weiqing Shao, Zhifei Lin, Jing Zhou, Chenhe Yi and Jubo Zhang. Their work appears in journals such as BioScience Trends, Medicine, Journal of Stroke and Cerebrovascular Diseases, PLoS ONE and Blood Purification.

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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