Dan Shen

890 citations
51 papers · 698 · h-index 16

Impact in

Papers in

Dan Shen

48 papers receiving 694 citations

Peers

Dan Shen
Comparison fields: 5 of 111
  • Process Chemistry and Technology 96
  • Health, Toxicology and Mutagenesis 216
  • Animal Science and Zoology 63
  • Pollution 70
  • Nutrition and Dietetics 43
Replace Tatjana Orct with:
Tatjana Orct Croatia
Jin-Hwan Hong South Korea
F. W. Oehme United States
Tom Johnsson Finland
Jingyang Zhang China
Kira Ziegler Germany
Zhiying Miao China
Dongxu Wang China
Joe V. Wooten United States
Paolo Stacchini Italy
Dan Shen relative to Tatjana Orct Croatia Tatjana Orct's profile →
Citations per field
00.5×1.5×2.4×
Tatjana Orct · 1×
Citations per year

Countries citing papers authored by Dan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201646
3 201945
4 201941
5 201839
6 201938
7 201937
8 201533
9 201929
10 202028
11 202227
12 202126
13 202323
14 201822
15 201918
16
A study on the patterns of migration in Chinese large and medium cities
199918
17 202114
18 202014
19 202314
20 202312

About Dan Shen

Dan Shen is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Process Chemistry and Technology, Animal Science and Zoology and Immunology, having authored 51 papers that have together received 698 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Odor and Emission Control Technologies (8 papers), Gut microbiota and health (6 papers), Indoor Air Quality and Microbial Exposure (5 papers), Animal Nutrition and Physiology (5 papers), Pesticide and Herbicide Environmental Studies (3 papers), Weed Control and Herbicide Applications (3 papers) and Effects of Environmental Stressors on Livestock (3 papers). The work is most often cited by research in Process Chemistry and Technology (96 citations), Health, Toxicology and Mutagenesis (216 citations), Animal Science and Zoology (63 citations), Pollution (70 citations) and Nutrition and Dietetics (43 citations). Dan Shen has collaborated with scholars based in China, Japan and Egypt. Frequent co-authors include Chunmei Li, Pengyuan Dai, Qian Tang, Yansen Li, Junze Liu, Jiakun Shen, Kai Huang, Shenghui Wu, Kai Huang and Kai Wang. Their work appears in journals such as Poultry Science, Animals, Toxics, Environmental Pollution and Journal of Animal Science.

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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