Qing Tian

931 total citations · 1 hit paper
14 papers, 703 citations indexed

About

Qing Tian is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Qing Tian has authored 14 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Qing Tian's work include Epigenetics and DNA Methylation (2 papers), Plant Molecular Biology Research (2 papers) and Bone Metabolism and Diseases (2 papers). Qing Tian is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Plant Molecular Biology Research (2 papers) and Bone Metabolism and Diseases (2 papers). Qing Tian collaborates with scholars based in China and United States. Qing Tian's co-authors include Jason W. Reed, Miin‐Feng Wu, Hong‐Wen Deng, Fanggang Bi, Xiang-Yang Zhang, Qicai Han, Songfeng Chen, Feifei Liu, Penghui Yan and Hui Shen and has published in prestigious journals such as Development, Human Molecular Genetics and Frontiers in Immunology.

In The Last Decade

Qing Tian

14 papers receiving 689 citations

Hit Papers

Arabidopsis microRNA167controls patterns ofARF6andARF8exp... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Qing Tian
Comparison fields: 5 of 61
  • Plant Science 607
  • Molecular Biology 473
  • Cancer Research 32
  • Ecology, Evolution, Behavior and Systematics 21
  • Genetics 18
Replace Romaric Bouveret with:
Romaric Bouveret Australia
François Godard France
Chen Dor Israel
Lyudmila I. Kutueva Russia
Herfried Eisler Austria
Přemysl Souček Czechia
Matthias Barann Germany
Chung-Mo Park South Korea
Corina Belle R. Villar Germany
Carlos Perea-Resa Spain
Romaric Bouveret Australia View profile →
Citations per field, relative to Qing Tian
Qing Tian · 1×
Citations per year, relative to Qing Tian
Qing Tian · 1×

Countries citing papers authored by Qing Tian

Since Specialization
Citations

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

Fields of papers citing papers by Qing Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Tian. A scholar is included among the top collaborators of Qing Tian 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 Qing Tian. Qing Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 6
3 4
4 8
5 16
6 1
7 13
8 2
9 3
10 13
11 6
12 7
13
Arabidopsis microRNA167controls patterns ofARF6andARF8expression, and regulates both female and male reproduction breakdown →
583
14 39

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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