Lan Mi

3.9k total citations
186 papers, 2.9k citations indexed

About

Lan Mi is a scholar working on Molecular Biology, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Lan Mi has authored 186 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 46 papers in Biomedical Engineering and 34 papers in Pathology and Forensic Medicine. Recurrent topics in Lan Mi's work include Lymphoma Diagnosis and Treatment (32 papers), Advanced biosensing and bioanalysis techniques (22 papers) and Advanced Fluorescence Microscopy Techniques (19 papers). Lan Mi is often cited by papers focused on Lymphoma Diagnosis and Treatment (32 papers), Advanced biosensing and bioanalysis techniques (22 papers) and Advanced Fluorescence Microscopy Techniques (19 papers). Lan Mi collaborates with scholars based in China, United States and Ethiopia. Lan Mi's co-authors include Pei-Nan Wang, Yudie Sun, Tao Li, Jiong Ma, Lin Shi, Yiyan Fei, Peng Xu, Ji-Yao Chen, Hong Shen and R. A. Bonham and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Lan Mi

174 papers receiving 2.9k citations

Peers

Lan Mi
Comparison fields: 5 of 161
  • Molecular Biology 1.0k
  • Materials Chemistry 823
  • Biomedical Engineering 716
  • Renewable Energy, Sustainability and the Environment 350
  • Electrical and Electronic Engineering 297
Replace Tatjana Paunesku with:
Tatjana Paunesku United States
Xiaohong Xu China
Baolin Zhang China
Gayle E. Woloschak United States
Jerry Lee United States
Wanli Liu China
Jingjing Han China
Yuri Volkov Ireland
Annalisa Lamberti Italy
Min Xue China
Tatjana Paunesku United States View profile →
Citations per field, relative to Lan Mi
Lan Mi · 1×
Citations per year, relative to Lan Mi
Lan Mi · 1×

Countries citing papers authored by Lan Mi

Since Specialization
Citations

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

Fields of papers citing papers by Lan Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Mi. A scholar is included among the top collaborators of Lan Mi 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 Lan Mi. Lan Mi 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
# Work Indexed citations
1 3
2 1
3 1
4 0
5 2
6 0
7 3
8 1
9 1
10 7
11 1
12 16
13 51
14 6
15 4
16 11
17 5
18
[Study of the effects of integrin-linked kinase on proliferation and differentiation of fibroblast in hypertrophic scar].
1
19
[Expression of integrin-linked kinase in human hypertrophic scar and its relationship with angiogenesis].
1
20
[The effect of integrin-linked kinase on VEGF expression in fibroblasts from human hypertrophic scar].
2

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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