Nan He

1.1k total citations
21 papers, 834 citations indexed

About

Nan He is a scholar working on Pharmacology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nan He has authored 21 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 6 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nan He's work include Pharmacogenetics and Drug Metabolism (10 papers), Advances in Cucurbitaceae Research (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Nan He is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Advances in Cucurbitaceae Research (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Nan He collaborates with scholars based in China and United States. Nan He's co-authors include Hong‐Hao Zhou, Wei Wang, Zhaoqian Liu, Xiaoping Chen, Zhousheng Xiao, Song‐Lin Huang, Yan Shu, Chang-Hong Jiang, Zhenhua Xu and Joyce A. Goldstein and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Frontiers in Microbiology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Nan He

21 papers receiving 807 citations

Peers

Nan He
Comparison fields: 5 of 101
  • Pharmacology 422
  • Molecular Biology 197
  • Oncology 193
  • Pharmacology 152
  • Pediatrics, Perinatology and Child Health 109
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Citations per field, relative to Nan He
Nan He · 1×
Citations per year, relative to Nan He
Nan He · 1×

Countries citing papers authored by Nan He

Since Specialization
Citations

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

Fields of papers citing papers by Nan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan He

This figure shows the co-authorship network connecting the top 25 collaborators of Nan He. A scholar is included among the top collaborators of Nan He 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 He. Nan He 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 14
2 7
3 2
4 16
5 82
6
Studies on DNA fingerprinting and genetic diversity of seedless watermelon (Citrullus lanatus) varieties using core simple sequence repeat (SSR) markers.
4
7
Measurement of Lycopene Contents in Watermelon
3
8
Lycopene content and expression of phytoene synthase and lycopene β-cyclase genes in tetraploid watermelon.
1
9 8
10 70
11 37
12 43
13
Genotype of CYP3AP1 associated with CYP3A activity in Chinese Han population.
11
14
Effects of CYP2C19 genotype and CYP2C9 on fluoxetine N-demethylation in human liver microsomes.
14
15 110
16 57
17 43
18
Frequency of functionally important beta-2 adrenoceptor polymorphisms varies markedly among African-American, Caucasian and Chinese individuals.
104
19 29
20 24

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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