Mohammad Bahram

26.5k total citations · 13 hit papers
129 papers, 9.5k citations indexed

About

Mohammad Bahram is a scholar working on Plant Science, Insect Science and Ecology. According to data from OpenAlex, Mohammad Bahram has authored 129 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 43 papers in Insect Science and 38 papers in Ecology. Recurrent topics in Mohammad Bahram's work include Mycorrhizal Fungi and Plant Interactions (71 papers), Forest Ecology and Biodiversity Studies (39 papers) and Plant Pathogens and Fungal Diseases (32 papers). Mohammad Bahram is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (71 papers), Forest Ecology and Biodiversity Studies (39 papers) and Plant Pathogens and Fungal Diseases (32 papers). Mohammad Bahram collaborates with scholars based in Estonia, Sweden and United States. Mohammad Bahram's co-authors include Leho Tedersoo, Sten Anslan, Urmas Kõljalg, R. Henrik Nilsson, Kessy Abarenkov, Sergei Põlme, Martin Zobel, Falk Hildebrand, Peer Bork and Christian Wurzbacher and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mohammad Bahram

120 papers receiving 9.3k citations

Hit Papers

Mycobiome diversity: high-throughput sequen... 2010 2026 2015 2020 2018 2020 2017 2010 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Bahram Estonia 49 5.9k 2.5k 2.4k 2.2k 2.2k 129 9.5k
Kessy Abarenkov Estonia 31 5.9k 1.0× 2.0k 0.8× 2.5k 1.1× 3.0k 1.4× 2.5k 1.1× 54 9.4k
Ari Jumpponen United States 56 6.0k 1.0× 1.6k 0.6× 2.7k 1.1× 2.8k 1.3× 1.6k 0.7× 143 10.3k
Peter G. Kennedy United States 39 7.9k 1.4× 3.7k 1.5× 2.8k 1.2× 2.5k 1.2× 1.6k 0.7× 112 11.2k
Urmas Kõljalg Estonia 40 7.5k 1.3× 3.1k 1.3× 2.3k 1.0× 3.5k 1.6× 2.3k 1.1× 101 10.9k
Andy F. S. Taylor United Kingdom 37 4.8k 0.8× 2.3k 0.9× 1.4k 0.6× 1.6k 0.7× 1.1k 0.5× 74 6.9k
Kabir Peay United States 43 6.2k 1.1× 3.3k 1.3× 1.8k 0.8× 1.9k 0.9× 1.2k 0.5× 98 8.5k
François Buscot Germany 59 6.8k 1.2× 3.2k 1.3× 3.3k 1.4× 1.6k 0.8× 1.6k 0.7× 249 11.8k
Tesfaye Wubet Germany 44 3.6k 0.6× 2.0k 0.8× 2.2k 0.9× 1.1k 0.5× 1.1k 0.5× 124 7.0k
Björn D. Lindahl Sweden 45 7.3k 1.2× 4.5k 1.8× 2.7k 1.1× 1.8k 0.9× 998 0.5× 91 10.4k
Miranda M. Hart Canada 45 6.9k 1.2× 2.3k 0.9× 1.2k 0.5× 1.0k 0.5× 1.1k 0.5× 127 9.0k

Countries citing papers authored by Mohammad Bahram

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Bahram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Bahram

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Bahram. A scholar is included among the top collaborators of Mohammad Bahram 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 Mohammad Bahram. Mohammad Bahram 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.
Köninger, Julia, et al.. (2026). Pesticide residues alter taxonomic and functional biodiversity in soils. Nature. 650(8101). 367–373.
2.
Dang, Pengfei, Scott X. Chang, Ji Chen, et al.. (2025). Long-term climate warming substantially reduces global soil microbial richness. One Earth. 9(1). 101511–101511.
3.
Osburn, Ernest D., JL Weissman, Michael S. Strickland, et al.. (2025). Relative abundances of bacterial phyla are strong indicators of community-scale microbial growth rates in soil. Environmental Microbiome. 20(1). 131–131.
4.
Lentendu, Guillaume, David Singer, Sabine Agatha, et al.. (2025). EukFunc : A Holistic Eukaryotic Functional Reference for Automated Profiling of Soil Eukaryotes. Molecular Ecology Resources. 25(7). e14118–e14118. 1 indexed citations
6.
Riggi, Laura, Carles Castaño, Dirk F. van Apeldoorn, et al.. (2024). Impact of plant diversity in potato-ley strip-cropping systems on soil microbial communities. Applied Soil Ecology. 206. 105777–105777.
7.
Hu, Yigang, et al.. (2024). Grazing exclusion-induced alterations of soil microbial biogeographic pattern and co-occurrence network across a Tibetan elevation gradient. Agriculture Ecosystems & Environment. 376. 109231–109231. 2 indexed citations
8.
Tedersoo, Leho, Rein Drenkhan, Kessy Abarenkov, et al.. (2024). The influence of tree genus, phylogeny, and richness on the specificity, rarity, and diversity of ectomycorrhizal fungi. Environmental Microbiology Reports. 16(2). e13253–e13253. 13 indexed citations
9.
Romero, Ferran, Maëva Labouyrie, Alberto Orgiazzi, et al.. (2024). Soil health is associated with higher primary productivity across Europe. Nature Ecology & Evolution. 8(10). 1847–1855. 35 indexed citations
10.
Hannula, S. Emilia, et al.. (2023). Microbial regulation of feedbacks to ecosystem change. Trends in Microbiology. 32(1). 68–78. 28 indexed citations
11.
Hagh‐Doust, Niloufar, Vladimir Mikryukov, Sten Anslan, et al.. (2023). Effects of nitrogen deposition on carbon and nutrient cycling along a natural soil acidity gradient as revealed by metagenomics. New Phytologist. 238(6). 2607–2620. 28 indexed citations
12.
Bahram, Mohammad, Mikk Espenberg, Jaan Pärn, et al.. (2022). Structure and function of the soil microbiome underlying N2O emissions from global wetlands. Nature Communications. 13(1). 1430–1430. 148 indexed citations breakdown →
13.
Tedersoo, Leho, Sten Anslan, Mohammad Bahram, Urmas Kõljalg, & Kessy Abarenkov. (2020). Identifying the ‘unidentified’ fungi: a global-scale long-read third-generation sequencing approach. Fungal Diversity. 103(1). 273–293. 57 indexed citations
14.
Anslan, Sten, R. Henrik Nilsson, Christian Wurzbacher, et al.. (2018). Great differences in performance and outcome of high-throughput sequencing data analysis platforms for fungal metabarcoding. MycoKeys. 39(39). 29–40. 40 indexed citations
15.
Tedersoo, Leho, Santiago Sánchez‐Ramírez, Urmas Kõljalg, et al.. (2018). High-level classification of the Fungi and a tool for evolutionary ecological analyses. Fungal Diversity. 90(1). 135–159. 456 indexed citations breakdown →
16.
Anslan, Sten, Mohammad Bahram, & Leho Tedersoo. (2017). Seasonal and annual variation in fungal communities associated with epigeic springtails (Collembola spp.) in boreal forests. Soil Biology and Biochemistry. 116. 245–252. 38 indexed citations
17.
Nilsson, R. Henrik, Christian Wurzbacher, Mohammad Bahram, et al.. (2016). Top 50 most wanted fungi. MycoKeys. 12. 29–40. 61 indexed citations
18.
Anslan, Sten, Mohammad Bahram, & Leho Tedersoo. (2016). Temporal changes in fungal communities associated with guts and appendages of Collembola as based on culturing and high-throughput sequencing. Soil Biology and Biochemistry. 96. 152–159. 45 indexed citations
20.
Bahram, Mohammad, et al.. (2006). ADDITION TO THE KNOWLEDGE OF AMANITA (AGARICALES, PLUTEACEAE) FROM IRAN. 7(227). 107–119. 6 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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