Lin Miao

3.3k citations
27 papers · 2.6k indexed · 1 hit paper · h-index 15
Topics
Wildlife Ecology and Conservation (4 papers)Genetic diversity and population structure (4 papers)Autophagy in Disease and Therapy (3 papers)

In The Last Decade

Lin Miao

26 papers receiving 2.6k citations

Hit Papers

Receptor Interacting Protein Kinase-3 Determines Cellular...2009202620142020200950010001.5k

Peers

Lin Miao
Comparison fields: 5 of 122
  • Molecular Biology 1.7k
  • Immunology 791
  • Epidemiology 543
  • Cancer Research 273
  • Cell Biology 257
Replace Diego Miranda‐Saavedra with:
Diego Miranda‐Saavedra United Kingdom
Emmanuel Di Valentin Belgium
Junying Yuan United States
Nazanine Modjtahedi France
Cyril Gueydan Belgium
Shitao Li United States
Matthew J. Kostura United States
Shinji Kamada Japan
Zongping Xia China
Edmund B. Rucker United States
Lin Miao relative to Diego Miranda‐Saavedra United Kingdom Diego Miranda‐Saavedra's profile →
Citations per field
00.5×1.5×2.1×
Diego Miranda‐Saavedra · 1×
Citations per year

Countries citing papers authored by Lin Miao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Miao. A scholar is included among the top collaborators of Lin Miao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Miao. Lin Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 7
4 2
5 1
6 2
7 20
8 6
9 4
10 41
11 23
12 58
13 21
14 111
15 49
16 167
17 61
18 2
19
Receptor Interacting Protein Kinase-3 Determines Cellular Necrotic Response to TNF-αbreakdown →
1796
20 20

About Lin Miao

Lin Miao is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 27 papers that have together received 2.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (4 papers), Genetic diversity and population structure (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Immunology (791 citations), Molecular Biology (1.7k citations) and Cancer Research (273 citations). Lin Miao has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Liping Zhao, Sudan He, Tao Wang, Lai Wang, Xiaodong Wang, Fenghe Du, Yan Zhao, Hongyu Zhao, Shu‐Jin Luo and Hong Zhang. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.

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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