J. C. Munch

5.3k total citations · 2 hit papers
71 papers, 4.1k citations indexed

About

J. C. Munch is a scholar working on Soil Science, Plant Science and Ecology. According to data from OpenAlex, J. C. Munch has authored 71 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Soil Science, 22 papers in Plant Science and 21 papers in Ecology. Recurrent topics in J. C. Munch's work include Soil Carbon and Nitrogen Dynamics (30 papers), Soil and Water Nutrient Dynamics (12 papers) and Microbial Community Ecology and Physiology (9 papers). J. C. Munch is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (30 papers), Soil and Water Nutrient Dynamics (12 papers) and Microbial Community Ecology and Physiology (9 papers). J. C. Munch collaborates with scholars based in Germany, Switzerland and Russia. J. C. Munch's co-authors include Michael Schloter, Oliver Dilly, Reiner Ruser, Franz Buegger, H. Flessa, J. C. G. Ottow, Andreas Gattinger, F. Beese, G. Schmidt and R. Russow and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Environmental Pollution.

In The Last Decade

J. C. Munch

70 papers receiving 3.8k citations

Hit Papers

Indicators for evaluating soil quality 2003 2026 2010 2018 2003 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Munch Germany 32 2.1k 1.1k 1.1k 965 536 71 4.1k
Lars Elsgaard Denmark 36 1.7k 0.8× 1.5k 1.4× 811 0.8× 985 1.0× 578 1.1× 144 4.0k
Jean‐Luc Chotte France 31 2.1k 1.0× 1.2k 1.1× 858 0.8× 597 0.6× 268 0.5× 88 3.9k
Rhae A. Drijber United States 36 2.4k 1.2× 1.1k 1.0× 1.4k 1.4× 736 0.8× 402 0.8× 94 4.1k
Jianzhao Wu China 24 3.3k 1.6× 1.3k 1.2× 910 0.9× 1.0k 1.1× 452 0.8× 51 4.2k
Franz Buegger Germany 33 2.2k 1.1× 1.1k 1.0× 1.4k 1.3× 781 0.8× 323 0.6× 91 3.9k
Mario Tenuta Canada 36 1.7k 0.8× 854 0.8× 1.6k 1.6× 991 1.0× 272 0.5× 148 4.0k
R. P. Voroney Canada 40 3.7k 1.8× 1.1k 1.0× 1.1k 1.0× 1.5k 1.6× 388 0.7× 127 5.3k
H. Bolton United States 30 1.7k 0.8× 1.0k 0.9× 873 0.8× 597 0.6× 465 0.9× 54 3.4k
David L. Burton Canada 39 2.8k 1.4× 1.4k 1.3× 947 0.9× 1.9k 1.9× 964 1.8× 154 5.0k
Catherine Hénault France 30 3.0k 1.4× 1.8k 1.7× 1.5k 1.4× 1.4k 1.5× 452 0.8× 70 5.2k

Countries citing papers authored by J. C. Munch

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Munch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Munch. 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 J. C. Munch. The network helps show where J. C. Munch may publish in the future.

Co-authorship network of co-authors of J. C. Munch

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Munch. A scholar is included among the top collaborators of J. C. Munch 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 J. C. Munch. J. C. Munch 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.
Munch, J. C., et al.. (2024). Artificial intelligence and design of experiments for resource adequacy assessment in power systems. Energy Strategy Reviews. 53. 101368–101368. 2 indexed citations
2.
Pütz, Thomas, Ralf Kiese, Ute Wollschläger, et al.. (2016). TERENO-SOILCan: a lysimeter-network in Germany observing soil processes and plant diversity influenced by climate change. Environmental Earth Sciences. 75(18). 79 indexed citations
3.
Munch, J. C. & J. C. G. Ottow. (2016). Reductive Transformation Mechanism of Ferric Oxides in Hydromorphic Soils. 26 indexed citations
4.
Esperschütz, Jürgen, Alexander Dümig, Gerhard Welzl, et al.. (2013). Dynamics of microbial communities during decomposition of litter from pioneering plants in initial soil ecosystems. Biogeosciences. 10(7). 5115–5124. 40 indexed citations
5.
Pérez‐de‐Mora, Alfredo, et al.. (2011). Microbial food web dynamics along a soil chronosequence of a glacier forefield. Biogeosciences. 8(11). 3283–3294. 37 indexed citations
6.
Schaaf, Wolfgang, Werner Gerwin, Ingrid Kögel‐Knabner, et al.. (2008). Patterns and processes of initial ecosystem development in an artificial catchment. Publication Database GFZ (GFZ German Research Centre for Geosciences). 72(12). 3 indexed citations
7.
Reinhardt, Guido A., Nils Rettenmaier, & J. C. Munch. (2008). Ökologische Optimierungspotenziale der energetischen Nutzung von Palmöl. Environmental Sciences Europe. 20(3). 180–188. 1 indexed citations
8.
Hagn, Alexandra, et al.. (2007). Microbial community shifts in Pythium ultimum-inoculated suppressive substrates. Biology and Fertility of Soils. 44(3). 481–490. 17 indexed citations
9.
Sharma, Shilpi, Manish K. Aneja, Jochen Mayer, J. C. Munch, & Michael Schloter. (2005). Characterization of Bacterial Community Structure in Rhizosphere Soil of Grain Legumes. Microbial Ecology. 49(3). 407–415. 67 indexed citations
10.
Schloter, Michael, Jana Barbro Winkler, Manish K. Aneja, et al.. (2005). Short Term Effects of Ozone on the Plant-Rhizosphere-Bulk Soil System of Young Beech Trees. Plant Biology. 7(6). 728–736. 32 indexed citations
11.
Matyssek, Rainer, Reinhard Agerer, Dieter Ernst, et al.. (2005). The Plant's Capacity in Regulating Resource Demand. Plant Biology. 7(6). 560–580. 81 indexed citations
12.
Ruser, Reiner, et al.. (2004). RESPIRATION OF RHIZOSPHERE AND NONRHIZOSPHERE SOIL IN A GREENHOUSE EXPERIMENT WITH OAT PLANTS (AVENA SATIVA L.). Eurasian Soil Science. 37. 2 indexed citations
13.
Sharma, Shilpi, Manish K. Aneja, Jochen Mayer, Michael Schloter, & J. C. Munch. (2004). RNA fingerprinting of microbial community in the rhizosphere soil of grain legumes. FEMS Microbiology Letters. 240(2). 181–186. 31 indexed citations
14.
Schroll, Reiner, Ferdi Brahushi, Ulrike Dörfler, et al.. (2003). Biomineralisation of 1,2,4-trichlorobenzene in soils by an adapted microbial population. Environmental Pollution. 127(3). 395–401. 45 indexed citations
15.
Bach, H.-J., et al.. (2002). A TaqMan-PCR protocol for quantification and differentiation of the phytopathogenic Clavibacter michiganensis subspecies. Journal of Microbiological Methods. 52(1). 85–91. 51 indexed citations
17.
Reuter, Stephan, et al.. (1999). A model for the formation and degradation of bound residues of the herbicide 14C-isoproturon in soil. Chemosphere. 39(4). 627–639. 8 indexed citations
18.
Dilly, Oliver & J. C. Munch. (1998). Ratios between estimates of microbial biomass content and microbial activity in soils. Biology and Fertility of Soils. 27(4). 374–379. 183 indexed citations
19.
Weissenhorn, I., J. C. Munch, & Walter Fischer. (1990). Characterization of denitrifying bacterial communities with distinct trophic requirements from soil under various agricultural use.. 60. 141–146. 1 indexed citations
20.
Munch, J. C., et al.. (1990). Field measured denitrification losses from a calcareous Inceptisol after green manuring.. 60. 233–238. 1 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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