Daotai Nie

4.6k total citations · 1 hit paper
63 papers, 3.8k citations indexed

About

Daotai Nie is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Daotai Nie has authored 63 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Pharmacology and 21 papers in Cancer Research. Recurrent topics in Daotai Nie's work include Inflammatory mediators and NSAID effects (24 papers), Estrogen and related hormone effects (16 papers) and Eicosanoids and Hypertension Pharmacology (13 papers). Daotai Nie is often cited by papers focused on Inflammatory mediators and NSAID effects (24 papers), Estrogen and related hormone effects (16 papers) and Eicosanoids and Hypertension Pharmacology (13 papers). Daotai Nie collaborates with scholars based in United States, Hungary and Russia. Daotai Nie's co-authors include Kenneth V. Honn, Yong Tang, Fangting Wu, Hailong Wu, Shijie Sheng, Yin-Yuan Mo, Keqin Tang, Yakun Chen, Yakun Chen and Hongmei Jiang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daotai Nie

62 papers receiving 3.7k citations

Hit Papers

MicroRNA-21 targets tumor suppressor genes in invasion an... 2008 2026 2014 2020 2008 250 500 750

Peers

Daotai Nie
Comparison fields: 5 of 116
  • Molecular Biology 2.1k
  • Cancer Research 1.3k
  • Pharmacology 768
  • Oncology 652
  • Genetics 502
Replace Michihiro Mutoh with:
Michihiro Mutoh Japan
Imad Shureiqi United States
Jill C. Pelling United States
Jonathan Tugwood United Kingdom
Gary A. Piazza United States
Rifat Pamukcu United States
Kyu Lim South Korea
Deliang Cao China
Chieko Yokoyama Japan
Chang Han United States
Michihiro Mutoh Japan View profile →
Citations per field, relative to Daotai Nie
Daotai Nie · 1×
Citations per year, relative to Daotai Nie
Daotai Nie · 1×

Countries citing papers authored by Daotai Nie

Since Specialization
Citations

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

Fields of papers citing papers by Daotai Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daotai Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Daotai Nie. A scholar is included among the top collaborators of Daotai Nie 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 Daotai Nie. Daotai Nie 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 3
2 2
3 3
4 25
5 176
6 224
7 45
8 20
9 38
10 53
11 42
12 15
13
MicroRNA-21 targets tumor suppressor genes in invasion and metastasis breakdown →
894
14 276
15
Expression of short chain fatty acid receptors in human prostate cancer: Role in tumor cell survival and motility.
1
16 74
17 36
18 28
19 3
20 27

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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