Mingen Lin

672 citations
18 papers · 473 · 1 hit paper · h-index 8

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 3
    • DNA Repair Mechanisms 2
    • Cancer Immunotherapy and Biomarkers 4

Mingen Lin

17 papers receiving 470 citations

Mingen Lin's Hit Papers

D-mannose facilitates immunotherapy and radiotherapy of triple-negative breast cancer via degradation of PD-L1 2022 · 160 citations
1600+1+2Years since publication50100150

Peers

Mingen Lin
Comparison fields: 5 of 78
  • Pharmacology 135
  • Transplantation 19
  • Oncology 178
  • Cancer Research 58
  • Immunology 80
Replace Alicja Puszkiel with:
Alicja Puszkiel France
Tetsuya Uehara Japan
Wataru Obuchi Japan
Gregory J. Gores United States
Irfan M. Hisamuddin United States
J. Klicius United States
Chong-Sheng Chen United States
Zhenyuan Yu China
Julie Leclerc France
Mingen Lin relative to Alicja Puszkiel France Alicja Puszkiel's profile →
Citations per field
00.5×3.4×
Alicja Puszkiel · 1×
Citations per year

Countries citing papers authored by Mingen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mingen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Novel mutations of CYP3A4 in Chinese.
2001161
2
D-mannose facilitates immunotherapy and radiotherapy of triple-negative breast cancer via degradation of PD-L1
Hit paper breakdown →
2022160
3 202338
4 202234
5 202313
6 202011
7 20239
8 20237
9 20247
10 20246
11 20206
12 19845
13 20224
14 19934
15 20254
16 20153
17 20051
18 20250

About Mingen Lin

Mingen Lin is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Epidemiology, having authored 18 papers that have together received 473 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Pharmacology (135 citations), Transplantation (19 citations), Oncology (178 citations), Cancer Research (58 citations) and Immunology (80 citations). Mingen Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lei Lv, Chuanmin Cheng, Yan Lin, Ming‐Liang Lai, Jin‐ding Huang, Yanping Xu, Ruonan Zhang, Wenjing Dong, Tongguan Tian and Jing He. Their work appears in journals such as Cell Death and Disease, Molecular Therapy — Oncolytics, Cell Reports, Cell Discovery and Journal of Clinical Investigation.

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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