Da Tian

2.8k citations
60 papers · 2.1k · 1 hit paper · h-index 25

Impact in

Papers in

Da Tian

59 papers receiving 2.1k citations

Da Tian's Hit Papers

Fitness costs of R-gene-mediated resistance in Arabidopsis thaliana 2003 · 617 citations
6170+7+15Years since publication200400600

Peers

Da Tian
Comparison fields: 5 of 108
  • Pollution 735
  • Health, Toxicology and Mutagenesis 326
  • Industrial and Manufacturing Engineering 196
  • Geochemistry and Petrology 126
  • Plant Science 763
Replace Longfei Shu with:
Longfei Shu China
Chong Liu China
Yunlong Yu China
Sotirios Vasileiadis Greece
Mingming Sun China
Paula V. Morais Portugal
Jaisoo Kim South Korea
Robert S. Dungan United States
Huixin Li China
Gehong Wei China
Da Tian relative to Longfei Shu China Longfei Shu's profile →
Citations per field
00.5×4.9×
Longfei Shu · 1×
Citations per year

Countries citing papers authored by Da Tian

Since Specialization
Citations

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

Fields of papers citing papers by Da Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Tian Line = papers co-authored together Da Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fitness costs of R-gene-mediated resistance in Arabidopsis thaliana
Hit paper breakdown →
2003617
2 2019224
3 201599
4 201892
5 202075
6 201771
7 201563
8 201751
9 201849
10 202144
11 202041
12 202237
13 201936
14 201636
15 202235
16 201735
17 202134
18 201533
19 202031
20 201529

About Da Tian

Da Tian is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Plant Science, Industrial and Manufacturing Engineering and Biomaterials, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heavy metals in environment (16 papers), Chromium effects and bioremediation (13 papers), Adsorption and biosorption for pollutant removal (10 papers), Phosphorus and nutrient management (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Clay minerals and soil interactions (9 papers), Mycorrhizal Fungi and Plant Interactions (8 papers) and Geochemistry and Elemental Analysis (7 papers). The work is most often cited by research in Pollution (735 citations), Health, Toxicology and Mutagenesis (326 citations), Industrial and Manufacturing Engineering (196 citations), Geochemistry and Petrology (126 citations) and Plant Science (763 citations). Da Tian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include M. Brian Traw, Joy Bergelson, Martin Kreitman, Jian‐Qun Chen, Zhen Li, Mu Su, Shuijin Hu, Lingyi Tang, Haoming Chen and Mao Ye. Their work appears in journals such as Agronomy, Journal of Hazardous Materials, Environmental Pollution, Soil Use and Management and Environmental Science and Pollution Research.

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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