Mingdian Tan

551 citations
12 papers · 421 · 1 hit paper · h-index 8

Impact in

Papers in

    • Extracellular vesicles in disease 3
    • RNA Interference and Gene Delivery 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Heat shock proteins research 1
    • Bladder and Urothelial Cancer Treatments 1

Mingdian Tan

12 papers receiving 416 citations

Mingdian Tan's Hit Papers

An Acetylation Switch of the NLRP3 Inflammasome Regulates Aging-Associated Chronic Inflammation and Insulin Resistance 2020 · 326 citations
3260+2+4Years since publication100200300

Peers

Mingdian Tan
Comparison fields: 5 of 73
  • Geriatrics and Gerontology 60
  • Biological Psychiatry 16
  • Aging 11
  • Physiology 28
  • Immunology 77
Replace Wei‐Chieh Mu with:
Wei‐Chieh Mu United States
Sneha Mishra India
Isaac Tamargo‐Gómez Spain
Junco S. Warren United States
Opher S. Kornfeld United States
Jian Cao China
Zhijia Li China
Boquan Wu China
Mingdian Tan relative to Wei‐Chieh Mu United States Wei‐Chieh Mu's profile →
Citations per field
00.5×1.5×
Wei‐Chieh Mu · 1×
Citations per year

Countries citing papers authored by Mingdian Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mingdian Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
An Acetylation Switch of the NLRP3 Inflammasome Regulates Aging-Associated Chronic Inflammation and Insulin Resistance
Hit paper breakdown →
2020326
2 202120
3 201720
4 202114
5 202312
6 20209
7 20237
8 20247
9 20203
10 20241
11 20251
12 20201

About Mingdian Tan

Mingdian Tan is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Hepatology and Cancer Research, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Heat shock proteins research (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Geriatrics and Gerontology (60 citations), Biological Psychiatry (16 citations), Aging (11 citations), Physiology (28 citations) and Immunology (77 citations). Mingdian Tan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Danica Chen, Wei‐Chieh Mu, Rika Ohkubo, Hao Wu, Qi Qiao, Hanzhi Luo, Shimin Zhao, Ming He, Hou-Hsien Chiang and Li Wang. Their work appears in journals such as Advanced Science, Cell Reports, Cancers, Cell Metabolism and RSC Medicinal Chemistry.

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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