Nan Qin

24.2k total citations · 3 hit papers
57 papers, 3.8k citations indexed

About

Nan Qin is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Nan Qin has authored 57 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Infectious Diseases and 12 papers in Plant Science. Recurrent topics in Nan Qin's work include Gut microbiota and health (24 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Plant Pathogens and Fungal Diseases (8 papers). Nan Qin is often cited by papers focused on Gut microbiota and health (24 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Plant Pathogens and Fungal Diseases (8 papers). Nan Qin collaborates with scholars based in China, United States and Denmark. Nan Qin's co-authors include Chunyan Wu, Jun Wang, Guohua Yang, Xun Xu, Jun Li, Yiwei Qian, Shengdi Chen, Min Jian, Man‐Wah Li and Wenbin Chen and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Nan Qin

55 papers receiving 3.8k citations

Hit Papers

Resequencing of 31 wild and cultivated soybean genomes id... 2010 2026 2015 2020 2010 2019 2018 250 500 750

Peers

Nan Qin
Comparison fields: 5 of 134
  • Molecular Biology 1.9k
  • Plant Science 832
  • Genetics 647
  • Oncology 477
  • Infectious Diseases 389
Replace Yi Geng with:
Yi Geng China
Thomas Schmidt Switzerland
Ana Marcu Germany
Shuai Wang China
Qiang Zhang China
De Wu China
Rheinallt M. Jones United States
Geoffrey L. Winsor Canada
Mahesh S. Desai Luxembourg
Peter van Baarlen Netherlands
Yi Geng China View profile →
Citations per field, relative to Nan Qin
Nan Qin · 1×
Citations per year, relative to Nan Qin
Nan Qin · 1×

Countries citing papers authored by Nan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Nan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Qin. A scholar is included among the top collaborators of Nan Qin 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 Qin. Nan Qin 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 1
2 1
3 2
4 0
5 2
6 5
7 10
8 21
9 5
10 0
11 16
12
Gut microbiome affects the response to anti-PD-1 immunotherapy in patients with hepatocellular carcinoma breakdown →
392
13 49
14
Alteration of the fecal microbiota in Chinese patients with Parkinson’s disease breakdown →
317
15 44
16
Population structure of Valsa species from Malus pumila in Shanxi Province.
1
17 74
18 60
19 93
20 35

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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