Jay T. Lennon

19.4k citations
140 papers · 12.9k indexed · 10 hit papers · h-index 48
Topics
Microbial Community Ecology and Physiology (61 papers)Evolution and Genetic Dynamics (27 papers)Genomics and Phylogenetic Studies (22 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Jay T. Lennon

132 papers receiving 12.6k citations

Hit Papers

Microbial seed banks: the ecological and evolutionary imp...2010202620152020201120122010201620154008001.2k

Peers

Jay T. Lennon
Comparison fields: 5 of 178
  • Ecology 7.3k
  • Molecular Biology 4.0k
  • Plant Science 2.8k
  • Soil Science 2.0k
  • Environmental Chemistry 1.7k
Replace Jennifer B. H. Martiny with:
Jennifer B. H. Martiny United States
James Stegen United States
Jianjun Wang China
Cheryl R. Kuske United States
Stuart E. Jones United States
Lise Øvreås Norway
Diana R. Nemergut United States
Yunfeng Yang China
Steven K. Schmidt United States
M. Claire Horner‐Devine United States
Jay T. Lennon relative to Jennifer B. H. Martiny United States Jennifer B. H. Martiny's profile →
Citations per field
00.5×1.5×
Jennifer B. H. Martiny · 1×
Citations per year

Countries citing papers authored by Jay T. Lennon

Since Specialization
Citations

This map shows the geographic impact of Jay T. Lennon'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 Jay T. Lennon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay T. Lennon more than expected).

Fields of papers citing papers by Jay T. Lennon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay T. Lennon. 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 Jay T. Lennon. The network helps show where Jay T. Lennon may publish in the future.

Co-authorship network of co-authors of Jay T. Lennon

This figure shows the co-authorship network connecting the top 25 collaborators of Jay T. Lennon. A scholar is included among the top collaborators of Jay T. Lennon 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 Jay T. Lennon. Jay T. Lennon 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
#WorkIndexed citations
1 1
2 3
3 35
4 1
5 7
6 10
7 9
8 9
9 9
10 5
11 46
12 19
13 6
14 49
15 151
16 65
17 27
18
Scaling laws predict global microbial diversitybreakdown →
625
19 177
20
Rapid responses of soil microorganisms improve plant fitness in novel environmentsbreakdown →
544

About Jay T. Lennon

Jay T. Lennon is a scholar working on Ecology, Environmental Chemistry and Ecological Modeling, having authored 140 papers that have together received 12.9k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (61 papers), Evolution and Genetic Dynamics (27 papers) and Genomics and Phylogenetic Studies (22 papers). The work is most often cited by research in Ecology (7.3k citations), Soil Science (2.0k citations) and Environmental Chemistry (1.7k citations). Jay T. Lennon has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Stuart E. Jones, Jennifer A. Lau, Kenneth J. Locey, Jennifer B. H. Martiny, Kathryn L. Cottingham, Bryan L. Brown, Noah Fierer, Kathleen K. Treseder, Zachary T. Aanderud and Brent K. Lehmkuhl. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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