Daniel Schlatter

4.6k total citations · 2 hit papers
77 papers, 3.3k citations indexed

About

Daniel Schlatter is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Daniel Schlatter has authored 77 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 31 papers in Molecular Biology and 16 papers in Soil Science. Recurrent topics in Daniel Schlatter's work include Mycorrhizal Fungi and Plant Interactions (16 papers), Soil Carbon and Nitrogen Dynamics (16 papers) and Plant-Microbe Interactions and Immunity (14 papers). Daniel Schlatter is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (16 papers), Soil Carbon and Nitrogen Dynamics (16 papers) and Plant-Microbe Interactions and Immunity (14 papers). Daniel Schlatter collaborates with scholars based in United States, Switzerland and China. Daniel Schlatter's co-authors include Linda L. Kinkel, Timothy C. Paulitz, Matthew G. Bakker, Chuntao Yin, Scot H. Hulbert, David M. Weller, Linda S. Thomashow, James M. Bradeen, Jörg Benz and Walter Huber and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Daniel Schlatter

75 papers receiving 3.3k citations

Hit Papers

Disease Suppressive Soils: New Insights from the Soil Mic... 2017 2026 2020 2023 2017 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Schlatter United States 31 1.5k 1.1k 569 554 384 77 3.3k
Yun Xiang China 32 1.0k 0.7× 1.7k 1.6× 184 0.3× 144 0.3× 185 0.5× 94 2.9k
Bernd Roschitzki Switzerland 34 961 0.6× 2.1k 1.9× 296 0.5× 575 1.0× 293 0.8× 76 4.2k
Vasanth Singan United States 22 943 0.6× 1.2k 1.1× 121 0.2× 326 0.6× 268 0.7× 54 2.5k
Fen Wang China 28 787 0.5× 872 0.8× 130 0.2× 79 0.1× 91 0.2× 136 2.9k
Ray Dixon United Kingdom 52 2.7k 1.8× 4.3k 3.9× 188 0.3× 1.4k 2.5× 260 0.7× 139 8.6k
Xinyu Zhu China 28 302 0.2× 559 0.5× 366 0.6× 169 0.3× 76 0.2× 164 2.6k
Jonathan J. Silberg United States 31 315 0.2× 2.6k 2.4× 161 0.3× 281 0.5× 156 0.4× 77 4.0k
Donald Becker United States 38 1.3k 0.9× 2.5k 2.3× 38 0.1× 150 0.3× 228 0.6× 100 4.6k
Yan Wu China 34 977 0.6× 1.8k 1.7× 184 0.3× 171 0.3× 51 0.1× 188 3.6k
Beibei Wang China 28 518 0.3× 1.2k 1.1× 58 0.1× 149 0.3× 165 0.4× 185 2.6k

Countries citing papers authored by Daniel Schlatter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schlatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schlatter

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

All Works

20 of 20 papers shown
1.
Yang, Mingming, Daniel Schlatter, Shanshan Wen, et al.. (2025). Eight Years in the Soil: Temporal Dynamics of Wheat-Associated Bacterial Communities Under Dryland and Irrigated Conditions. Phytobiomes Journal. 9(2). 173–188.
2.
Yin, Chuntao, et al.. (2021). Responses of Soil Fungal Communities to Lime Application in Wheat Fields in the Pacific Northwest. Frontiers in Microbiology. 12. 576763–576763. 14 indexed citations
3.
Yin, Chuntao, et al.. (2021). Rhizosphere community selection reveals bacteria associated with reduced root disease. Microbiome. 9(1). 86–86. 198 indexed citations breakdown →
4.
Richter, Kirsten, Arne C. Rufer, Dominique Burger, et al.. (2020). Small molecule AX-024 reduces T cell proliferation independently of CD3ϵ/Nck1 interaction, which is governed by a domain swap in the Nck1-SH3.1 domain. Journal of Biological Chemistry. 295(23). 7849–7864. 10 indexed citations
5.
Schlatter, Daniel, Narayan C. Paul, Devendra H. Shah, et al.. (2019). Biosolids and Tillage Practices Influence Soil Bacterial Communities in Dryland Wheat. Microbial Ecology. 78(3). 737–752. 18 indexed citations
6.
Schlatter, Daniel, Catherine L. Reardon, Jodi Johnson‐Maynard, et al.. (2019). Mining the Drilosphere: Bacterial Communities and Denitrifier Abundance in a No-Till Wheat Cropping System. Frontiers in Microbiology. 10. 1339–1339. 29 indexed citations
7.
Schlatter, Daniel, Chuntao Yin, Ian C. Burke, Scot H. Hulbert, & Timothy C. Paulitz. (2017). Location, Root Proximity, and Glyphosate-Use History Modulate the Effects of Glyphosate on Fungal Community Networks of Wheat. Microbial Ecology. 76(1). 240–257. 26 indexed citations
8.
Benz, Jörg, et al.. (2014). Mapping the conformational space accessible to catechol-O-methyltransferase. Acta Crystallographica Section D Biological Crystallography. 70(8). 2163–2174. 25 indexed citations
9.
Kinkel, Linda L., Daniel Schlatter, Matthew G. Bakker, & B. Arenz. (2012). Streptomyces competition and co-evolution in relation to plant disease suppression. Research in Microbiology. 163(8). 490–499. 160 indexed citations
10.
Ellermann, Manuel, Ralph Paulini, Roland Jakob‐Roetne, et al.. (2011). Molecular Recognition at the Active Site of Catechol‐O‐methyltransferase (COMT): Adenine Replacements in Bisubstrate Inhibitors. Chemistry - A European Journal. 17(23). 6369–6381. 31 indexed citations
11.
Ellermann, Manuel, Roland Jakob‐Roetne, C. Lerner, et al.. (2009). Molecular Recognition at the Active Site of Catechol‐O‐Methyltransferase: Energetically Favorable Replacement of a Water Molecule Imported by a Bisubstrate Inhibitor. Angewandte Chemie International Edition. 48(48). 9092–9096. 39 indexed citations
12.
Caughey, George H., Jeremy Beauchamp, Daniel Schlatter, et al.. (2008). Guinea Pig Chymase Is Leucine-specific. Journal of Biological Chemistry. 283(20). 13943–13951. 18 indexed citations
13.
Schlatter, Daniel, et al.. (2008). Resource Amendments Influence Density and Competitive Phenotypes of Streptomyces in Soil. Microbial Ecology. 57(3). 413–420. 65 indexed citations
14.
Huber, Walter, et al.. (2004). SPR-based interaction studies with small molecular weight ligands using hAGT fusion proteins. Analytical Biochemistry. 333(2). 280–288. 27 indexed citations
15.
Grüninger-Leitch, Fiona, Daniel Schlatter, Erich Küng, Peter Nelböck, & Heinz Döbeli. (2002). Substrate and Inhibitor Profile of BACE (β-Secretase) and Comparison with Other Mammalian Aspartic Proteases. Journal of Biological Chemistry. 277(7). 4687–4693. 193 indexed citations
16.
Schauer-Vukašinović, Vesna, Daniel Bur, Eric Kitas, et al.. (2000). Purification and characterization of active recombinant human napsin A. European Journal of Biochemistry. 267(9). 2573–2580. 16 indexed citations
18.
Huber, Walter, et al.. (1995). Determination of Kinetic Constants for the Interaction Between the Platelet Glycoprotein IIb-IIIa and Fibrinogen by Means of Surface Plasmon Resonance. European Journal of Biochemistry. 227(3). 647–656. 43 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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