David Johnson

16.2k total citations · 1 hit paper
205 papers, 7.8k citations indexed

About

David Johnson is a scholar working on Plant Science, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, David Johnson has authored 205 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Plant Science, 52 papers in Nature and Landscape Conservation and 50 papers in Ecology. Recurrent topics in David Johnson's work include Mycorrhizal Fungi and Plant Interactions (65 papers), Ecology and Vegetation Dynamics Studies (43 papers) and Soil Carbon and Nitrogen Dynamics (40 papers). David Johnson is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (65 papers), Ecology and Vegetation Dynamics Studies (43 papers) and Soil Carbon and Nitrogen Dynamics (40 papers). David Johnson collaborates with scholars based in United Kingdom, United States and China. David Johnson's co-authors include Jonathan R. Leake, D. J. Read, Nick Ostle, Lucy Gilbert, Richard D. Bardgett, Ian C. Anderson, Simon Oakley, Rebekka Artz, Damian P. Donnelly and Lynne Boddy and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

David Johnson

198 papers receiving 7.4k citations

Hit Papers

Predicting the structure of soil communities from plant c... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Johnson United Kingdom 46 4.4k 2.3k 2.2k 2.0k 1.4k 205 7.8k
Erik A. Hobbie United States 37 3.9k 0.9× 2.5k 1.1× 2.7k 1.2× 1.5k 0.8× 1.5k 1.1× 103 7.6k
John C. Moore United States 28 2.2k 0.5× 2.3k 1.0× 1.6k 0.8× 1.7k 0.8× 840 0.6× 42 5.7k
Gerlinde B. De Deyn Netherlands 43 4.4k 1.0× 2.8k 1.2× 4.9k 2.3× 2.7k 1.3× 819 0.6× 115 10.6k
Katarina Hedlund Sweden 46 2.2k 0.5× 1.9k 0.8× 2.1k 1.0× 1.3k 0.6× 870 0.6× 108 5.9k
Jonathan R. Leake United Kingdom 63 6.1k 1.4× 2.0k 0.9× 2.4k 1.1× 1.7k 0.9× 1.3k 0.9× 141 11.1k
Duane A. Peltzer New Zealand 41 2.2k 0.5× 1.9k 0.8× 1.5k 0.7× 3.4k 1.7× 1.0k 0.7× 117 6.5k
Jan Frouz Czechia 47 1.6k 0.4× 3.1k 1.4× 3.6k 1.7× 1.8k 0.9× 1.3k 0.9× 289 8.2k
Hiroshi Takeda Japan 42 1.9k 0.4× 1.2k 0.5× 1.3k 0.6× 1.6k 0.8× 1.0k 0.7× 215 5.5k
Marie‐Charlotte Nilsson Sweden 52 3.0k 0.7× 3.3k 1.5× 2.7k 1.2× 3.0k 1.5× 1.2k 0.9× 144 9.3k
Cameron Wagg Switzerland 36 3.7k 0.8× 2.3k 1.0× 2.5k 1.2× 1.4k 0.7× 808 0.6× 70 7.1k

Countries citing papers authored by David Johnson

Since Specialization
Citations

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

Fields of papers citing papers by David Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of David Johnson. A scholar is included among the top collaborators of David Johnson 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 David Johnson. David Johnson 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.
Strashnov, Ilya, et al.. (2024). Environmental dependency of ectomycorrhizal fungi as soil organic matter oxidizers. New Phytologist. 244(6). 2536–2547. 4 indexed citations
2.
Rillig, Matthias C., Anika Lehmann, Luisa Lanfranco, Tancredi Caruso, & David Johnson. (2024). Clarifying the definition of common mycorrhizal networks. Functional Ecology. 39(6). 1411–1417. 19 indexed citations
3.
Carroll, Joseph, Graham R. Chilvers, Ignacio Delso, et al.. (2024). LC‐ICP‐MS analysis of inositol phosphate isomers in soil offers improved sensitivity and fine‐scale mapping of inositol phosphate distribution. Methods in Ecology and Evolution. 15(3). 530–543. 6 indexed citations
4.
5.
Lavallee, Jocelyn M., Mathilde Chomel, Francisco de Castro, et al.. (2024). Land management shapes drought responses of dominant soil microbial taxa across grasslands. Nature Communications. 15(1). 29–29. 31 indexed citations
6.
Liang, Minxia, Yi Zheng, David Johnson, et al.. (2024). Long‐term stability of sapling dynamics is regulated by soil phosphorus availability in subtropical forest. Journal of Ecology. 112(3). 673–686. 1 indexed citations
7.
Lekberg, Ylva, Jan Jansa, William E. Holben, et al.. (2024). Carbon and phosphorus exchange rates in arbuscular mycorrhizas depend on environmental context and differ among co‐occurring plants. New Phytologist. 242(4). 1576–1588. 24 indexed citations
8.
Read, D. J., et al.. (2024). Photosynthate transfer from an autotrophic orchid to conspecific heterotrophic protocorms through a common mycorrhizal network. New Phytologist. 243(1). 398–406. 8 indexed citations
9.
Taylor, Andy F. S., et al.. (2023). Maintenance of host specialisation gradients in ectomycorrhizal symbionts. New Phytologist. 242(4). 1426–1435. 6 indexed citations
10.
Wang, Ze, Tingting Tao, Ji Chen, et al.. (2023). Forms of nitrogen inputs regulate the intensity of soil acidification. Global Change Biology. 29(14). 4044–4055. 63 indexed citations
11.
Luo, Shan, Richard D. Bardgett, Bernhard Schmid, et al.. (2022). Historical context modifies plant diversity–community productivity relationships in alpine grassland. Journal of Ecology. 110(9). 2205–2218. 5 indexed citations
12.
Parker, Thomas C., Mathilde Chomel, Karina E. Clemmensen, et al.. (2022). Resistance of subarctic soil fungal and invertebrate communities to disruption of below‐ground carbon supply. Journal of Ecology. 110(12). 2883–2897. 7 indexed citations
13.
Liang, Minxia, Liuqing Shi, David F. R. P. Burslem, et al.. (2021). Soil fungal networks moderate density‐dependent survival and growth of seedlings. New Phytologist. 230(5). 2061–2071. 42 indexed citations
14.
Parker, Thomas C., Karina E. Clemmensen, Iain P. Hartley, et al.. (2020). Rhizosphere allocation by canopy‐forming species dominates soil CO2 efflux in a subarctic landscape. New Phytologist. 227(6). 1818–1830. 15 indexed citations
15.
Johnson, David, et al.. (2019). Shrub expansion and alpine plant community change: 40-year record from Niwot Ridge, Colorado. Plant Ecology & Diversity. 12(5). 407–416. 24 indexed citations
16.
Liang, Minxia, Xubing Liu, Ingrid M. Parker, et al.. (2019). Soil microbes drive phylogenetic diversity-productivity relationships in a subtropical forest. Science Advances. 5(10). eaax5088–eaax5088. 57 indexed citations
17.
Liu, Xubing, David F. R. P. Burslem, John D. Taylor, et al.. (2018). Partitioning of soil phosphorus among arbuscular and ectomycorrhizal trees in tropical and subtropical forests. Ecology Letters. 21(5). 713–723. 108 indexed citations
18.
Gilbert, Lucy, Toby J. A. Bruce, Michael A. Birkett, et al.. (2013). Underground signals carried through common mycelial networks warn neighbouring plants of aphid attack. Ecology Letters. 16(7). 835–843. 263 indexed citations
19.
Johnson, David. (2004). Linear analysis of skeletal structures. 1 indexed citations
20.
Johnson, David & M. D. Rumbaugh. (1986). Field Nodulation and Acetylene Reduction Activity of High-Altitude Legumes in the Western United States. Arctic and Alpine Research. 18(2). 171–179. 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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