Kyle E. Harms

15.7k total citations · 7 hit papers
86 papers, 10.6k citations indexed

About

Kyle E. Harms is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Kyle E. Harms has authored 86 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Nature and Landscape Conservation, 41 papers in Ecology, Evolution, Behavior and Systematics and 25 papers in Ecology. Recurrent topics in Kyle E. Harms's work include Ecology and Vegetation Dynamics Studies (46 papers), Plant and animal studies (31 papers) and Forest ecology and management (17 papers). Kyle E. Harms is often cited by papers focused on Ecology and Vegetation Dynamics Studies (46 papers), Plant and animal studies (31 papers) and Forest ecology and management (17 papers). Kyle E. Harms collaborates with scholars based in United States, Panama and Australia. Kyle E. Harms's co-authors include S. Joseph Wright‬, Stephen P. Hubbell, Robin B. Foster, Richard Condit, Joseph B. Yavitt, James W. Dalling, Jonathan A. Myers, Milton N. Garcia, Osvaldo Calderón and Andrés Hernández and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kyle E. Harms

82 papers receiving 10.2k citations

Hit Papers

Light-Gap Disturbances, Recruitment Limitation, and Tree ... 1999 2026 2008 2017 1999 2000 2010 2007 2001 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle E. Harms United States 42 7.7k 3.9k 3.3k 2.8k 2.0k 86 10.6k
Marcelo Cabido Argentina 46 6.7k 0.9× 3.8k 1.0× 2.9k 0.9× 3.2k 1.1× 2.7k 1.4× 118 10.1k
Shahid Naeem United States 16 4.9k 0.6× 2.6k 0.7× 3.0k 0.9× 3.7k 1.3× 2.2k 1.1× 25 9.7k
Michael Scherer‐Lorenzen Germany 55 6.4k 0.8× 2.4k 0.6× 3.9k 1.2× 2.7k 1.0× 2.7k 1.4× 162 11.2k
Adrián Escudero Spain 54 5.5k 0.7× 4.8k 1.3× 2.5k 0.7× 2.1k 0.7× 3.7k 1.9× 307 10.3k
Deborah A. Clark United States 51 6.0k 0.8× 2.2k 0.6× 4.3k 1.3× 2.5k 0.9× 1.8k 0.9× 126 10.4k
Francisco I. Pugnaire Spain 58 9.4k 1.2× 5.4k 1.4× 4.3k 1.3× 3.5k 1.2× 6.0k 3.0× 160 14.8k
Étienne Laliberté Canada 42 5.1k 0.7× 3.0k 0.8× 2.1k 0.6× 2.9k 1.0× 3.9k 2.0× 96 10.0k
Christiane Roscher Germany 55 4.7k 0.6× 2.7k 0.7× 1.8k 0.5× 2.2k 0.8× 2.7k 1.4× 150 8.2k
Michelle R. Leishman Australia 53 6.8k 0.9× 4.7k 1.2× 2.2k 0.7× 3.1k 1.1× 5.2k 2.6× 186 11.8k
Amy J. Symstad United States 22 4.2k 0.6× 2.2k 0.6× 2.6k 0.8× 3.2k 1.1× 1.3k 0.6× 50 7.8k

Countries citing papers authored by Kyle E. Harms

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Harms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Harms. 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 Kyle E. Harms. The network helps show where Kyle E. Harms may publish in the future.

Co-authorship network of co-authors of Kyle E. Harms

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle E. Harms. A scholar is included among the top collaborators of Kyle E. Harms 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 Kyle E. Harms. Kyle E. Harms 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.
Snell‐Rood, Emilie C., et al.. (2024). Butterfly species vary in sex‐specific sodium accumulation from larval diets. Ecological Entomology. 50(1). 228–234. 1 indexed citations
3.
Harms, Kyle E., et al.. (2023). Low sodium availability in hydroponically manipulated host plants promotes cannibalism in a lepidopteran herbivore. Scientific Reports. 13(1). 20822–20822. 3 indexed citations
4.
Harms, Kyle E., et al.. (2022). Contrasts among cationic phytochemical landscapes in the southern United States. SHILAP Revista de lepidopterología. 3(5). 226–241. 4 indexed citations
5.
Harms, Kyle E., et al.. (2021). No escape: The influence of substrate sodium on plant growth and tissue sodium responses. Ecology and Evolution. 11(20). 14231–14249. 14 indexed citations
6.
Wills, Christopher, Kyle E. Harms, Thorsten Wiegand, et al.. (2016). Persistence of Neighborhood Demographic Influences over Long Phylogenetic Distances May Help Drive Post-Speciation Adaptation in Tropical Forests. PLoS ONE. 11(6). e0156913–e0156913. 11 indexed citations
7.
Barrett, Luke G., et al.. (2015). Host promiscuity in symbiont associations can influence exotic legume establishment and colonization of novel ranges. Diversity and Distributions. 21(10). 1193–1203. 40 indexed citations
8.
Harms, Kyle E. & Peter T. Green. (2014). Under the Lunch Tree: Fifty years of rainforest dynamics in Queensland, Australia.. Natural history. 122(2). 32–37.
9.
Cleveland, Cory C., Alan R. Townsend, Philip Taylor, et al.. (2011). Relationships among net primary productivity, nutrients and climate in tropical rain forest: a pan‐tropical analysis. Ecology Letters. 14(9). 939–947. 373 indexed citations
10.
Santiago, Louis S., S. Joseph Wright‬, Kyle E. Harms, et al.. (2011). Tropical tree seedling growth responses to nitrogen, phosphorus and potassium addition. Journal of Ecology. 100(2). 309–316. 193 indexed citations
11.
Wright‬, S. Joseph, Joseph B. Yavitt, Nina Wurzburger, et al.. (2011). Potassium, phosphorus, or nitrogen limit root allocation, tree growth, or litter production in a lowland tropical forest. Ecology. 92(8). 1616–1625. 472 indexed citations breakdown →
12.
Wright‬, S. Joseph, Kaoru Kitajima, Nathan J. B. Kraft, et al.. (2010). Functional traits and the growth–mortality trade‐off in tropical trees. Ecology. 91(12). 3664–3674. 795 indexed citations breakdown →
13.
Myers, Jonathan A. & Kyle E. Harms. (2009). Local immigration, competition from dominant guilds, and the ecological assembly of high‐diversity pine savannas. Ecology. 90(10). 2745–2754. 59 indexed citations
14.
Myers, Jonathan A. & Kyle E. Harms. (2009). Seed arrival, ecological filters, and plant species richness: a meta‐analysis. Ecology Letters. 12(11). 1250–1260. 287 indexed citations
15.
Poorter, Lourens, S. Joseph Wright‬, Horacio Paz, et al.. (2008). ARE FUNCTIONAL TRAITS GOOD PREDICTORS OF DEMOGRAPHIC RATES? EVIDENCE FROM FIVE NEOTROPICAL FORESTS. Ecology. 89(7). 1908–1920. 593 indexed citations breakdown →
16.
Harms, Kyle E., et al.. (2007). Collpas: Activity Hotspots for Frugivorous Bats (Phyllostomidae) in the Peruvian Amazon. Biotropica. 40(2). 203–210. 41 indexed citations
17.
Wright, Ian J., David D. Ackerly, Frans Bongers, et al.. (2006). Relationships Among Ecologically Important Dimensions of Plant Trait Variation in Seven Neotropical Forests. Annals of Botany. 99(5). 1003–1015. 320 indexed citations
18.
Harms, Kyle E. & C. E. Timothy Paine. (2003). Regeneración de árboles tropicales e implicaciones para el manejo de bosques naturales. Ecosistemas: Revista científica y técnica de ecología y medio ambiente. 12(3). 1–16. 3 indexed citations
20.
Dalling, James W., et al.. (1997). Regeneration from Cotyledons in Gustavia superba (Lecythidaceae). Biotropica. 29(2). 234–237. 18 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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