Qi Lang

2.4k citations
22 papers · 2.1k · 2 hit papers · h-index 15

Impact in

Papers in

Qi Lang

22 papers receiving 2.1k citations

Qi Lang's Hit Papers

A liver-on-a-chip platform with bioprinted hepatic spheroids 2016 · 518 citations
5180+3+7Years since publication200400600

Peers

Qi Lang
Comparison fields: 5 of 112
  • Rehabilitation 285
  • Biomaterials 587
  • Molecular Medicine 190
  • Biomedical Engineering 1.3k
  • Automotive Engineering 275
Replace Wen Shi with:
Wen Shi United States
Ji Suk Choi South Korea
Brooke L. Farrugia Australia
Zhi Yuan Lin China
Christoph Meinert Australia
Sungmin Nam United States
Chang Mo Hwang South Korea
Chengdong Ji China
Luca Gasperini Portugal
Gurvinder Kaur India
Qi Lang relative to Wen Shi United States Wen Shi's profile →
Citations per field
00.5×3.9×
Wen Shi · 1×
Citations per year

Countries citing papers authored by Qi Lang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Photocrosslinkable Gelatin Hydrogel for Epidermal Tissue Engineering
Hit paper breakdown →
2015716
2
A liver-on-a-chip platform with bioprinted hepatic spheroids
Hit paper breakdown →
2016518
3 2016277
4 2016186
5 201556
6 201647
7 202143
8 201637
9 202131
10 201631
11 202225
12 202225
13 201624
14 202015
15 202114
16 202212
17 202210
18 20228
19 20216
20 20166

About Qi Lang

Qi Lang is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (5 papers), 3D Printing in Biomedical Research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Neuroscience and Neural Engineering (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Wound Healing and Treatments (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Rehabilitation (285 citations), Biomaterials (587 citations), Molecular Medicine (190 citations), Biomedical Engineering (1.3k citations) and Automotive Engineering (275 citations). Qi Lang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Ali Khademhosseini, Nasim Annabi, Xin Zhao, Wenguo Cui, Mehmet R. Dokmeci, Lara Yildirimer, Zhi Yuan Lin, Kee Woei Ng, Amir M. Ghaemmaghami and Xiaoming Sun. Their work appears in journals such as Frontiers in Immunology, Advanced Functional Materials, Biomicrofluidics, Artificial Intelligence Review and Advanced Healthcare Materials.

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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