Michael Gigl

844 citations
22 papers · 390 · 1 hit paper · h-index 11

Impact in

    • Mycorrhizal Fungi and Plant Interactions
    • Legume Nitrogen Fixing Symbiosis
    • Plant nutrient uptake and metabolism
    • Plant Parasitism and Resistance

Papers in

Michael Gigl

22 papers receiving 386 citations

Michael Gigl's Hit Papers

PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis 2022 · 126 citations
1260+1+2Years since publication4080120

Peers

Michael Gigl
Comparison fields: 5 of 80
  • Biochemistry 27
  • Plant Science 149
  • Biological Psychiatry 10
  • Food Science 59
  • Pharmacology 51
Replace Liang-Yun Zhou with:
Liang-Yun Zhou China
Chuanfeng Tang China
Jia Song China
Laxman Singh India
Peiyan Wang China
Giovana M. Ourique Brazil
Ana Paula Pegoraro Zemolin Brazil
Minghui Meng China
Ji‐Peng Wei China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gigl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis
Hit paper breakdown →
2022126
2 202233
3 202133
4 202230
5 202326
6 202420
7 202120
8 202117
9 202216
10 202214
11 202412
12 202310
13 202110
14 20227
15 20244
16 20253
17 20232
18 20232
19 20252
20 20231

About Michael Gigl

Michael Gigl is a scholar working on Molecular Biology, Food Science, Physiology, Plant Science and Pharmacology, having authored 22 papers that have together received 390 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Fermentation and Sensory Analysis (3 papers), Coffee research and impacts (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers), Tea Polyphenols and Effects (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Biochemistry (27 citations), Plant Science (149 citations), Biological Psychiatry (10 citations), Food Science (59 citations) and Pharmacology (51 citations). Michael Gigl has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Corinna Dawid, Oliver Frank, Thomas Hofmann, Mo‐Xian Chen, Debatosh Das, Caroline Gutjahr, Jianhua Zhang, Hon‐Ming Lam, Michael Paries and Karen Hobecker. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Experimental Botany, Nutrients, Scientific Reports and Food Chemistry.

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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