Jan Waelchli

414 total citations · 1 hit paper
7 papers, 223 citations indexed

About

Jan Waelchli is a scholar working on Plant Science, Soil Science and Pharmacology. According to data from OpenAlex, Jan Waelchli has authored 7 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 2 papers in Soil Science and 1 paper in Pharmacology. Recurrent topics in Jan Waelchli's work include Mycorrhizal Fungi and Plant Interactions (4 papers), Plant Parasitism and Resistance (3 papers) and Allelopathy and phytotoxic interactions (2 papers). Jan Waelchli is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (4 papers), Plant Parasitism and Resistance (3 papers) and Allelopathy and phytotoxic interactions (2 papers). Jan Waelchli collaborates with scholars based in Switzerland, Hungary and Russia. Jan Waelchli's co-authors include Klaus Schlaeppi, Gabriel Deslandes‐Hérold, Natacha Bodenhausen, Marcel G. A. van der Heijden, Julia Heß, Stefanie Lutz, Alain Valzano‐Held, Valentin Gfeller, Christelle A. M. Robert and Matthias Erb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and eLife.

In The Last Decade

Jan Waelchli

7 papers receiving 219 citations

Hit Papers

Soil microbiome indicator... 2023 2026 2024 2023 25 50 75
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.

  1. Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi
    2023 97 citations Stefanie Lutz, Natacha Bodenhausen et al. Nature Microbiology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Waelchli 194 30 30 27 21 7 223
Gabriel Deslandes‐Hérold 191 1.0× 34 1.1× 28 0.9× 26 1.0× 20 1.0× 8 222
M. Chanratana 261 1.3× 43 1.4× 25 0.8× 14 0.5× 39 1.9× 9 294
Ashok Shukla 249 1.3× 27 0.9× 39 1.3× 37 1.4× 41 2.0× 47 304
Arfang Badji 300 1.5× 43 1.4× 49 1.6× 52 1.9× 28 1.3× 32 344
Nadja Feddermann 327 1.7× 49 1.6× 18 0.6× 33 1.2× 50 2.4× 9 346
Alessandra Salvioli di Fossalunga 296 1.5× 48 1.6× 25 0.8× 23 0.9× 60 2.9× 13 328
Ashleigh J. Elliott 263 1.4× 16 0.5× 37 1.2× 48 1.8× 66 3.1× 5 281
Rashmi Tewari 230 1.2× 24 0.8× 15 0.5× 27 1.0× 7 0.3× 17 246
Mohammad Javad Zarea 306 1.6× 48 1.6× 56 1.9× 8 0.3× 23 1.1× 23 333
Ghulam Hussain Jatoi 172 0.9× 46 1.5× 14 0.5× 28 1.0× 12 0.6× 31 226

Countries citing papers authored by Jan Waelchli

Since Specialization
Citations

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

Fields of papers citing papers by Jan Waelchli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Waelchli

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

All Works

7 of 7 papers shown
1.
Lutz, Stefanie, Natacha Bodenhausen, Julia Heß, et al.. (2023). Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi. Nature Microbiology. 8(12). 2277–2289. 97 indexed citations breakdown →
2.
Gfeller, Valentin, Jan Waelchli, Stephanie Pfister, et al.. (2023). Plant secondary metabolite-dependent plant-soil feedbacks can improve crop yield in the field. eLife. 12. 33 indexed citations
3.
Waelchli, Jan, Valentin Gfeller, Gabriel Deslandes‐Hérold, et al.. (2023). Bacterial tolerance to host-exuded specialized metabolites structures the maize root microbiome. Proceedings of the National Academy of Sciences. 120(44). e2310134120–e2310134120. 46 indexed citations
4.
Waelchli, Jan, et al.. (2023). Glyphosate and terbuthylazine effects on soil functions, microbiome composition and crop performance. Applied Soil Ecology. 191. 105036–105036. 7 indexed citations
5.
Gfeller, Valentin, Selma Cadot, Jan Waelchli, et al.. (2023). Soil chemical and microbial gradients determine accumulation of root‐exuded secondary metabolites and plant–soil feedbacks in the field. SHILAP Revista de lepidopterología. 2(3). 173–188. 3 indexed citations
6.
Bodenhausen, Natacha, Julia Heß, Gabriel Deslandes‐Hérold, et al.. (2023). Predicting soil fungal communities from chemical and physical properties. SHILAP Revista de lepidopterología. 2(3). 225–237. 11 indexed citations
7.
Bodenhausen, Natacha, et al.. (2021). Relative qPCR to quantify colonization of plant roots by arbuscular mycorrhizal fungi. Mycorrhiza. 31(2). 137–148. 26 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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