Gang Sa

715 citations
19 papers · 573 · h-index 14

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Mycorrhizal Fungi and Plant Interactions
    • Aluminum toxicity and tolerance in plants and animals
    • Plant Micronutrient Interactions and Effects

Papers in

    • Plant Stress Responses and Tolerance 9
    • Plant nutrient uptake and metabolism 7
    • Plant Molecular Biology Research 6
    • Mycorrhizal Fungi and Plant Interactions 5
    • Legume Nitrogen Fixing Symbiosis 2
    • Plant Gene Expression Analysis 2

Gang Sa

17 papers receiving 568 citations

Peers

Gang Sa
Comparison fields: 5 of 55
  • Plant Science 518
  • Pollution 42
  • Molecular Biology 205
  • Insect Science 34
  • Physiology 9
Replace Xiaolong Huang with:
Xiaolong Huang China
Saurabh Pandey India
Xiefeng Yao China
Yangwenke Liao China
Sandra Patussi Brammer Brazil
Т.Н. Архипова Russia
Prasun Ray United States
Longqiang Bai China
N. S. Mustafa Egypt
Ram B. Khadka Nepal
Gang Sa relative to Xiaolong Huang China Xiaolong Huang's profile →
Citations per field
00.5×3.8×
Xiaolong Huang · 1×
Citations per year

Countries citing papers authored by Gang Sa

Since Specialization
Citations

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

Fields of papers citing papers by Gang Sa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gang Sa, 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 Gang Sa Line = papers co-authored together Gang Sa links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201471
2 201969
3 201267
4 201550
5 201945
6 201338
7 202035
8 201534
9 201727
10 201527
11 201727
12 201726
13 201323
14 201922
15 20218
16 20183
17 20251
18 20250
19 20250

About Gang Sa

Gang Sa is a scholar working on Plant Science, Molecular Biology, Food Science, Pharmacology and Ocean Engineering, having authored 19 papers that have together received 573 indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (9 papers), Plant nutrient uptake and metabolism (7 papers), Plant Molecular Biology Research (6 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Potato Plant Research (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Plant Gene Expression Analysis (2 papers) and Polymer-Based Agricultural Enhancements (1 paper). The work is most often cited by research in Plant Science (518 citations), Pollution (42 citations), Molecular Biology (205 citations), Insect Science (34 citations) and Physiology (9 citations). Gang Sa has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shaoliang Chen, Rui Zhao, Jian Sun, Xin Shen, Shurong Deng, Xujun Ma, Jun Yao, Huilong Zhang, Andrea Polle and Yinan Zhang. Their work appears in journals such as Foods, Frontiers in Plant Science, International Journal of Molecular Sciences, Environmental and Experimental Botany and Forests.

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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