Nan Shen

8.3k citations
83 papers · 4.7k indexed · 4 hit papers · h-index 28
Topics
Gut microbiota and health (12 papers)Metabolism and Genetic Disorders (10 papers)Mitochondrial Function and Pathology (8 papers)

In The Last Decade

Nan Shen

79 papers receiving 4.6k citations

Hit Papers

The microbiome in early life: implications for health out...20162026201920222016201620162016250500750

Peers

Nan Shen
Comparison fields: 5 of 143
  • Molecular Biology 3.0k
  • Physiology 721
  • Epidemiology 505
  • Nutrition and Dietetics 435
  • Infectious Diseases 420
Replace Laurence Macia with:
Laurence Macia Australia
Eric Brown United States
Jun Ma China
J. Marc Rhoads United States
Danielle G. Souza Brazil
Sudhir Gupta United States
Noah W. Palm United States
Eunyoung Chun South Korea
Nagendra Singh United States
Yun Kyung Lee South Korea
Nan Shen relative to Laurence Macia Australia Laurence Macia's profile →
Citations per field
00.5×1.5×
Laurence Macia · 1×
Citations per year

Countries citing papers authored by Nan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Nan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Shen. A scholar is included among the top collaborators of Nan Shen 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 Nan Shen. Nan Shen 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 1
2 2
3 4
4 13
5 27
6 62
7 19
8 31
9 23
10 21
11 32
12 55
13 5
14 64
15 16
16
Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transferbreakdown →
649
17 6
18 92
19 57
20 208

About Nan Shen

Nan Shen is a scholar working on Clinical Biochemistry, Molecular Biology and Cancer Research, having authored 83 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Metabolism and Genetic Disorders (10 papers) and Mitochondrial Function and Pathology (8 papers). The work is most often cited by research in Biological Psychiatry (180 citations), Emergency Medical Services (333 citations) and Molecular Biology (3.0k citations). Nan Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include José C. Clemente, Sabrina Tamburini, Paul J. Pfaffinger, Nenad Blau, Xinghai Chen, Se Jin Song, Laura M. Cox, Amnon Amir, Rob Knight and Antonio G. González. Their work appears in journals such as Angewandte Chemie International Edition, Nature Medicine and Neuron.

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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