Michael Paries

594 total citations · 1 hit paper
6 papers, 344 citations indexed

About

Michael Paries is a scholar working on Plant Science, Pharmacology and Biomedical Engineering. According to data from OpenAlex, Michael Paries has authored 6 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 2 papers in Pharmacology and 1 paper in Biomedical Engineering. Recurrent topics in Michael Paries's work include Mycorrhizal Fungi and Plant Interactions (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Plant nutrient uptake and metabolism (3 papers). Michael Paries is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Plant nutrient uptake and metabolism (3 papers). Michael Paries collaborates with scholars based in Germany, United States and China. Michael Paries's co-authors include Caroline Gutjahr, Priya Pimprikar, Samy Carbonnel, Martin Parniske, Maria Harrison, Daniela S. Floß, Jianhua Zhang, Hon‐Ming Lam, Mo‐Xian Chen and Michael Gigl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Michael Paries

5 papers receiving 344 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis

2022 126 citations Debatosh Das, Michael Paries et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Paries Germany	4	331	38	35	19	14	6	344
Karen Hobecker France	5	254 0.8×	16 0.4×	62 1.8×	11 0.6×	7 0.5×	7	266
Shuangshuang Wang China	5	325 1.0×	37 1.0×	32 0.9×	42 2.2×	30 2.1×	8	342
Jan Waelchli Switzerland	6	194 0.6×	12 0.3×	30 0.9×	21 1.1×	30 2.1×	7	223
Beatriz Sánchez‐Romera Spain	7	328 1.0×	16 0.4×	60 1.7×	32 1.7×	19 1.4×	8	346
Gabriel Deslandes‐Hérold Switzerland	6	191 0.6×	11 0.3×	34 1.0×	20 1.1×	28 2.0×	8	222
Nassima Ait Lahmidi France	4	305 0.9×	14 0.4×	26 0.7×	52 2.7×	14 1.0×	4	313
Rim Nefissi Ouertani Tunisia	11	228 0.7×	13 0.3×	72 2.1×	5 0.3×	19 1.4×	26	258
Vijai Pal Bhadana India	9	186 0.6×	19 0.5×	31 0.9×	3 0.2×	13 0.9×	20	213
Rashmi Tewari India	7	230 0.7×	18 0.5×	24 0.7×	7 0.4×	15 1.1×	17	246
Ngan Giang Khong France	5	338 1.0×	8 0.2×	85 2.4×	10 0.5×	7 0.5×	6	351

Countries citing papers authored by Michael Paries

Since Specialization

Citations

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

Fields of papers citing papers by Michael Paries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Paries

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

All Works

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6 of 6 papers shown

1.

Paries, Michael, Karen Hobecker, Catarina Cardoso, et al.. (2025). The GRAS protein RAM1 interacts with WRI transcription factors to regulate plant genes required for arbuscule development and function. Proceedings of the National Academy of Sciences. 122(21). e2427021122–e2427021122. 2 indexed citations

2.

Paries, Michael, et al.. (2025). Comprehensive Quantification of (Poly)phenols in Lotus japonicus with and without Arbuscular Mycorrhizal Symbiosis. Journal of Agricultural and Food Chemistry. 73(22). 14044–14057.

3.

Paries, Michael, Sapna Sharma, Tian Zeng, et al.. (2025). Untargeted metabolomics reveals novel metabolites in Lotus japonicus roots during arbuscular mycorrhiza symbiosis. New Phytologist. 246(3). 1256–1275. 3 indexed citations

4.

Paries, Michael & Caroline Gutjahr. (2023). The good, the bad, and the phosphate: regulation of beneficial and detrimental plant–microbe interactions by the plant phosphate status. New Phytologist. 239(1). 29–46. 43 indexed citations

5.

Das, Debatosh, Michael Paries, Karen Hobecker, et al.. (2022). PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis. Nature Communications. 13(1). 477–477. 126 indexed citations breakdown →

6.

Pimprikar, Priya, Samy Carbonnel, Michael Paries, et al.. (2016). A CCaMK-CYCLOPS-DELLA Complex Activates Transcription of RAM1 to Regulate Arbuscule Branching. Current Biology. 26(8). 987–998. 170 indexed citations

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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