Jeffrey D. Weidenhamer

3.9k total citations
61 papers, 2.8k citations indexed

About

Jeffrey D. Weidenhamer is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Jeffrey D. Weidenhamer has authored 61 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 13 papers in Health, Toxicology and Mutagenesis and 11 papers in Pollution. Recurrent topics in Jeffrey D. Weidenhamer's work include Allelopathy and phytotoxic interactions (33 papers), Weed Control and Herbicide Applications (24 papers) and Plant Parasitism and Resistance (14 papers). Jeffrey D. Weidenhamer is often cited by papers focused on Allelopathy and phytotoxic interactions (33 papers), Weed Control and Herbicide Applications (24 papers) and Plant Parasitism and Resistance (14 papers). Jeffrey D. Weidenhamer collaborates with scholars based in United States, Australia and Germany. Jeffrey D. Weidenhamer's co-authors include Ragan M. Callaway, David C. Hartnett, Nikolaus H. Fischer, John T. Romeo, G. Bruce Williamson, David J. Gibson, John Connolly, Matthias C. Rillig, E. Kathryn Barto and Francisco A. Macı́as and has published in prestigious journals such as PLoS ONE, Ecology and The Science of The Total Environment.

In The Last Decade

Jeffrey D. Weidenhamer

60 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey D. Weidenhamer United States 30 1.9k 468 463 311 304 61 2.8k
Nishanth Tharayil United States 31 1.2k 0.6× 403 0.9× 315 0.7× 557 1.8× 377 1.2× 74 3.1k
Milan Gryndler Czechia 32 2.1k 1.1× 170 0.4× 412 0.9× 219 0.7× 425 1.4× 122 2.9k
Katarzyna Turnau Poland 37 3.5k 1.8× 200 0.4× 932 2.0× 186 0.6× 1.1k 3.5× 122 4.6k
Cristina Cruz Portugal 32 3.0k 1.6× 295 0.6× 574 1.2× 94 0.3× 146 0.5× 176 4.3k
Eva J. Pell United States 33 3.5k 1.8× 254 0.5× 301 0.7× 232 0.7× 83 0.3× 80 4.0k
D. Grill Austria 26 2.2k 1.1× 176 0.4× 329 0.7× 95 0.3× 104 0.3× 107 2.8k
Lucian Copolovici Romania 34 2.4k 1.2× 114 0.2× 619 1.3× 267 0.9× 166 0.5× 109 3.9k
Fred T. Davies United States 30 4.0k 2.1× 445 1.0× 439 0.9× 105 0.3× 240 0.8× 109 4.7k
Rui S. Oliveira Portugal 27 1.7k 0.9× 85 0.2× 157 0.3× 202 0.6× 624 2.1× 54 2.4k

Countries citing papers authored by Jeffrey D. Weidenhamer

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Weidenhamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Weidenhamer. 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 Jeffrey D. Weidenhamer. The network helps show where Jeffrey D. Weidenhamer may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Weidenhamer

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Weidenhamer. A scholar is included among the top collaborators of Jeffrey D. Weidenhamer 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 Jeffrey D. Weidenhamer. Jeffrey D. Weidenhamer 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.
Roslund, Marja I., et al.. (2024). Arabidopsis response to copper is mediated by density and root exudates: Evidence that plant density and toxic soils can shape plant communities. American Journal of Botany. 111(2). e16285–e16285. 1 indexed citations
2.
Morris, D. J. P., Jeffrey D. Weidenhamer, Hassina Bilheux, et al.. (2024). Visualization of in-situ chemical flow through sand using neutron radiography. Applied Radiation and Isotopes. 217. 111652–111652.
3.
Weidenhamer, Jeffrey D., et al.. (2019). Plant Density and Rhizosphere Chemistry: Does Marigold Root Exudate Composition Respond to Intra- and Interspecific Competition?. Journal of Chemical Ecology. 45(5-6). 525–533. 10 indexed citations
4.
5.
Weidenhamer, Jeffrey D., et al.. (2014). Lead exposure from aluminum cookware in Cameroon. The Science of The Total Environment. 496. 339–347. 58 indexed citations
6.
Weidenhamer, Jeffrey D., et al.. (2014). Spatial and Temporal Dynamics of Root Exudation: How Important is Heterogeneity in Allelopathic Interactions?. Journal of Chemical Ecology. 40(8). 940–952. 22 indexed citations
7.
Barto, E. Kathryn, Jeffrey D. Weidenhamer, Don Cipollini, & Matthias C. Rillig. (2012). Fungal superhighways: do common mycorrhizal networks enhance below ground communication?. Trends in Plant Science. 17(11). 633–637. 136 indexed citations
8.
Weidenhamer, Jeffrey D., et al.. (2010). Assessment of leaching potential of highly leaded jewelry. Journal of Hazardous Materials. 177(1-3). 1150–1152. 10 indexed citations
9.
Weidenhamer, Jeffrey D. & Ragan M. Callaway. (2010). Direct and Indirect Effects of Invasive Plants on Soil Chemistry and Ecosystem Function. Journal of Chemical Ecology. 36(1). 59–69. 290 indexed citations
10.
Weidenhamer, Jeffrey D., et al.. (2008). Accessible and total lead in low-cost jewelry items. Integrated Environmental Assessment and Management. 4(3). 358–361. 11 indexed citations
11.
Weidenhamer, Jeffrey D., et al.. (2007). Evidence of recycling of lead battery waste into highly leaded jewelry. Chemosphere. 69(10). 1670–1672. 26 indexed citations
12.
Weidenhamer, Jeffrey D., et al.. (2007). Solid-Phase Microextraction Method For In Vivo Measurement of Allelochemical Uptake. Journal of Chemical Ecology. 34(1). 70–75. 29 indexed citations
13.
Weidenhamer, Jeffrey D., et al.. (2007). Leaded electronic waste is a possible source material for lead-contaminated jewelry. Chemosphere. 69(7). 1111–1115. 36 indexed citations
14.
Weidenhamer, Jeffrey D.. (2005). Biomimetic measurement of allelochemical dynamics in the rhizosphere. Journal of Chemical Ecology. 31(2). 221–236. 44 indexed citations
15.
Weidenhamer, Jeffrey D., et al.. (2004). Zapoteca formosa: Sulfur Chemistry and Phytotoxicity. Journal of Chemical Ecology. 30(2). 425–437. 4 indexed citations
16.
Weidenhamer, Jeffrey D.. (1996). Distinguishing Resource Competition and Chemical Interference: Overcoming the Methodological Impasse. Agronomy Journal. 88(6). 866–875. 99 indexed citations
17.
Fischer, Nikolaus H., G. Bruce Williamson, Jeffrey D. Weidenhamer, & Donald R. Richardson. (1994). In search of allelopathy in the Florida scrub: The role of terpenoids. Journal of Chemical Ecology. 20(6). 1355–1380. 120 indexed citations
18.
Shann, Jodi R., et al.. (1994). The Effect of Phytotoxins on Competitive Outcome in a Model System. Ecology. 75(7). 1959–1964. 61 indexed citations
19.
Williamson, G. Bruce, et al.. (1992). Inhibition ofSchizachyrium scoparium (poaceae) by the allelochemical hydrocinnamic acid. Journal of Chemical Ecology. 18(11). 2095–2105. 33 indexed citations
20.
Weidenhamer, Jeffrey D., Timothy C. Morton, & John T. Romeo. (1987). Solution volume and seed number: Often overlooked factors in allelopathic bioassays. Journal of Chemical Ecology. 13(6). 1481–1491. 61 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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