Lang Shen

39 papers receiving 1.3k citations

Peers

Lang Shen
Comparison fields: 5 of 104
  • Pediatrics, Perinatology and Child Health 364
  • Obstetrics and Gynecology 120
  • Biotechnology 74
  • Nutrition and Dietetics 107
  • Behavioral Neuroscience 23
Replace Xiaonan Zhu with:
Xiaonan Zhu China
Munekage Yamaguchi Japan
Deyang Yu China
Vinay Narwal India
Xun Gong United States
Aixia Zhang China
John Hulme South Korea
Ichiro Miwa Japan
Tomohiko Kimura Japan
G. Berger France
Lang Shen relative to Xiaonan Zhu China Xiaonan Zhu's profile →
Citations per field
00.5×2×4×6×8.2×
Xiaonan Zhu · 1×
Citations per year

Countries citing papers authored by Lang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011178
2 2017174
3 201388
4 201578
5 201277
6 201368
7 201456
8 202247
9 201946
10 201544
11 201543
12 201740
13 201335
14 201924
15 201824
16 201523
17 201220
18 201818
19 201518
20 201717

About Lang Shen

Lang Shen is a scholar working on Materials Chemistry, Pediatrics, Perinatology and Child Health, Biomedical Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Birth, Development, and Health (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers), Plasmonic and Surface Plasmon Research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Nanowire Synthesis and Applications (4 papers), Thermal properties of materials (4 papers), Fatty Acid Research and Health (4 papers) and Optical Coatings and Gratings (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (364 citations), Obstetrics and Gynecology (120 citations), Biotechnology (74 citations), Nutrition and Dietetics (107 citations) and Behavioral Neuroscience (23 citations). Lang Shen has collaborated with scholars based in China, United States and France. Frequent co-authors include Hui Wang, Haotian Shi, Stephen B. Cronin, Jacques Magdalou, Linlong Wang, Liaobin Chen, Bingya Hou, Jihan Chen, Li Zhang and Yu Wang. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicology Letters, ACS Applied Materials & Interfaces, Applied Physics Letters and ACS Photonics.

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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