Péter Schád

2.4k total citations
50 papers, 1.8k citations indexed

About

Péter Schád is a scholar working on Ecology, Soil Science and Molecular Biology. According to data from OpenAlex, Péter Schád has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 13 papers in Soil Science and 11 papers in Molecular Biology. Recurrent topics in Péter Schád's work include Soil Carbon and Nitrogen Dynamics (10 papers), Soil Geostatistics and Mapping (6 papers) and Geology and Paleoclimatology Research (6 papers). Péter Schád is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (10 papers), Soil Geostatistics and Mapping (6 papers) and Geology and Paleoclimatology Research (6 papers). Péter Schád collaborates with scholars based in Germany, United States and China. Péter Schád's co-authors include Ingrid Kögel‐Knabner, Reinhold Jahn, Otto Spaargaren, H.‐P. Blume, Victor B. Asio, Samuel B. Formal, Angelika Kölbl, Edgar C. Boedeker, Livia Wissing and Thomas L. Hale and has published in prestigious journals such as Bioinformatics, Gastroenterology and Journal of Bacteriology.

In The Last Decade

Péter Schád

49 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Schád Germany 25 628 457 248 228 221 50 1.8k
Christopher J. Williams United States 29 159 0.3× 947 2.1× 313 1.3× 310 1.4× 607 2.7× 72 2.7k
Roland C. Wilhelm United States 23 387 0.6× 696 1.5× 625 2.5× 82 0.4× 125 0.6× 47 2.0k
Marirosa Molina United States 23 309 0.5× 470 1.0× 163 0.7× 51 0.2× 52 0.2× 55 1.7k
Hui Zeng China 31 1.5k 2.4× 859 1.9× 241 1.0× 142 0.6× 319 1.4× 74 3.5k
Benjamin J. Koch United States 25 725 1.2× 1.5k 3.3× 578 2.3× 62 0.3× 133 0.6× 47 2.5k
Rebekka Artz United Kingdom 28 564 0.9× 1.6k 3.5× 192 0.8× 58 0.3× 293 1.3× 65 2.6k
Monica B. Emelko Canada 29 321 0.5× 523 1.1× 107 0.4× 53 0.2× 144 0.7× 79 2.5k
Eliška Rejmánková United States 36 310 0.5× 1.7k 3.7× 166 0.7× 89 0.4× 196 0.9× 117 4.0k
Alica Chroňáková Czechia 22 474 0.8× 664 1.5× 301 1.2× 41 0.2× 98 0.4× 59 1.6k
Liping Guo China 25 410 0.7× 229 0.5× 270 1.1× 33 0.1× 42 0.2× 72 1.4k

Countries citing papers authored by Péter Schád

Since Specialization
Citations

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

Fields of papers citing papers by Péter Schád

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Schád

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Schád. A scholar is included among the top collaborators of Péter Schád 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 Péter Schád. Péter Schád 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.
Schád, Péter. (2023). World Reference Base for Soil Resources—Its fourth edition and its history. Journal of Plant Nutrition and Soil Science. 186(2). 151–163. 52 indexed citations
2.
Urbanski, Livia, Karsten Kalbitz, Janet Rethemeyer, Péter Schád, & Ingrid Kögel‐Knabner. (2023). Unexpected high alkyl carbon contents in organic matter-rich sandy agricultural soils of Northwest Central Europe. Geoderma. 439. 116695–116695. 5 indexed citations
3.
Urbanski, Livia, et al.. (2021). Legacy of plaggen agriculture: High soil organic carbon stocks as result from high carbon input and volume increase. Geoderma. 406. 115513–115513. 15 indexed citations
4.
Dondeyne, Stefaan, et al.. (2018). Base de référence mondiale pour les ressources en sols 2014. Système international de classification des sols pour nommer les sols et élaborer des légendes de cartes pédologiques. Mise à jour 2015.. 2 indexed citations
5.
Mantel, S., et al.. (2017). Evaluation of automated global mapping of Reference Soil Groups of WRB2015. EGU General Assembly Conference Abstracts. 16641. 1 indexed citations
6.
Blum, Winfried E. H., Péter Schád, & Stephen Nortcliff. (2017). Essentials of Soil Science. 5 indexed citations
7.
Zech, Wolfgang, et al.. (2014). Böden der Welt. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 31 indexed citations
8.
Pathak, Jyotishman, et al.. (2013). Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects. 6 indexed citations
9.
Schád, Péter, Lee R. Mobley, & Carol M. Hamilton. (2011). Building a Biomedical Cyberinfrastructure for Collaborative Research. American Journal of Preventive Medicine. 40(5). S144–S150. 10 indexed citations
10.
Mueller, Lothar, Uwe Schindler, T. Graham Shepherd, et al.. (2010). Assessing agricultural soil quality on a global scale. 29–32. 3 indexed citations
11.
Spaargaren, Otto, et al.. (2010). Guidelines for constructing small-scale map legends using the World Reference Base for Soil Resources.. 9–12. 5 indexed citations
12.
Forman, Michele R., Sarah M. Greene, Nancy E. Avis, et al.. (2010). Bioinformatics. American Journal of Preventive Medicine. 38(6). 646–651. 14 indexed citations
13.
Dümig, Alexander, Heike Knicker, Péter Schád, et al.. (2009). Changes in soil organic matter composition are associated with forest encroachment into grassland with long‐term fire history. European Journal of Soil Science. 60(4). 578–589. 22 indexed citations
14.
Dümig, Alexander, et al.. (2008). A mosaic of nonallophanic Andosols, Umbrisols and Cambisols on rhyodacite in the southern Brazilian highlands. Geoderma. 145(1-2). 158–173. 38 indexed citations
15.
Zech, W., Michael Zech, Roland Zech, et al.. (2008). Late Quaternary palaeosol records from subtropical (38°S) to tropical (16°S) South America and palaeoclimatic implications. Quaternary International. 196(1-2). 107–120. 31 indexed citations
16.
Deckers, Jozef, et al.. (2005). Rationale for the Key and the Qualifiers of the WRB 2006. Eurasian Soil Science. 38. 6–12. 2 indexed citations
17.
Farmer, Andrew, et al.. (1999). Establishing a method of vector contamination identification in database sequences.. Bioinformatics. 15(2). 106–110. 17 indexed citations
18.
Schád, Péter, et al.. (1998). Natural regeneration of degraded soils and site changes on abandoned agricultural terraces in Mediterranean Spain. Land Degradation and Development. 9(2). 179–188. 81 indexed citations
19.
Schád, Péter, et al.. (1987). Cloning and characterization of elastase genes from Pseudomonas aeruginosa. Journal of Bacteriology. 169(6). 2691–2696. 52 indexed citations
20.
Wretlind, Bengt, et al.. (1985). Genetic mapping and characterization of Pseudomonas aeruginosa mutants that hyperproduce exoproteins. Journal of Bacteriology. 162(3). 1329–1331. 9 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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