Virginia Nichols

1.2k total citations · 1 hit paper
17 papers, 715 citations indexed

About

Virginia Nichols is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science. According to data from OpenAlex, Virginia Nichols has authored 17 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Soil Science and 8 papers in Agronomy and Crop Science. Recurrent topics in Virginia Nichols's work include Soil Carbon and Nitrogen Dynamics (9 papers), Agronomic Practices and Intercropping Systems (6 papers) and Weed Control and Herbicide Applications (5 papers). Virginia Nichols is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (9 papers), Agronomic Practices and Intercropping Systems (6 papers) and Weed Control and Herbicide Applications (5 papers). Virginia Nichols collaborates with scholars based in United States, Denmark and France. Virginia Nichols's co-authors include Rachael Cox, Bram Govaerts, Matt Liebman, Nele Verhulst, Sotirios V. Archontoulis, Sarah Carlson, Bruno Basso, Rafael A. Martinez‐Feria, Matthew J. Helmers and Michael J. Castellano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Plant and Soil.

In The Last Decade

Virginia Nichols

16 papers receiving 693 citations

Hit Papers

Weed dynamics and conservation agriculture principles: A ... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Weed dynamics and conservation agriculture principles: A review
    2015 312 citations Virginia Nichols, Nele Verhulst et al. Field Crops Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia Nichols United States 10 517 402 245 78 73 17 715
Chloe MacLaren United Kingdom 11 380 0.7× 241 0.6× 133 0.5× 115 1.5× 52 0.7× 22 609
Olivier Duchêne France 8 402 0.8× 465 1.2× 201 0.8× 33 0.4× 36 0.5× 11 665
Solomon Kamau Kenya 12 240 0.5× 254 0.6× 244 1.0× 55 0.7× 30 0.4× 21 580
Richard H. Leep United States 9 441 0.9× 500 1.2× 430 1.8× 78 1.0× 60 0.8× 18 899
Keith A. Kohler United States 15 390 0.8× 345 0.9× 276 1.1× 71 0.9× 23 0.3× 27 646
Dale R. Mutch United States 10 532 1.0× 505 1.3× 494 2.0× 77 1.0× 61 0.8× 17 1.0k
Ann M. Johanns United States 3 213 0.4× 173 0.4× 139 0.6× 74 0.9× 110 1.5× 8 461
Hans Kandel United States 14 445 0.9× 239 0.6× 140 0.6× 109 1.4× 35 0.5× 48 624
Hélène Tribouillois France 12 347 0.7× 294 0.7× 317 1.3× 91 1.2× 43 0.6× 14 657
J. Orson United Kingdom 9 296 0.6× 230 0.6× 262 1.1× 54 0.7× 22 0.3× 42 544

Countries citing papers authored by Virginia Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Nichols. A scholar is included among the top collaborators of Virginia Nichols 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 Virginia Nichols. Virginia Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Nichols, Virginia, et al.. (2025). Data Feminism as a guide for agricultural research. SHILAP Revista de lepidopterología. 3(1).
2.
Nichols, Virginia, William R. Osterholz, Sotirios V. Archontoulis, & Matt Liebman. (2024). The roots of the rotation effect run deep. Field Crops Research. 319. 109640–109640. 3 indexed citations
3.
Nichols, Virginia, et al.. (2024). Exploring the position of farmers within the European green transition: transformation for whom?. Frontiers in Sustainable Food Systems. 8. 3 indexed citations
4.
Nichols, Virginia, et al.. (2022). Means, motive, and opportunity. Elementa Science of the Anthropocene. 10(1). 3 indexed citations
5.
Nichols, Virginia, et al.. (2022). Site‐specific effects of winter cover crops on soil water storage. Agrosystems Geosciences & Environment. 5(1). 6 indexed citations
6.
Pasley, Heather, Virginia Nichols, Michael J. Castellano, et al.. (2021). Rotating maize reduces the risk and rate of nitrate leaching. Environmental Research Letters. 16(6). 64063–64063. 31 indexed citations
7.
Nichols, Virginia, et al.. (2020). Effects of Long-Term Cover Cropping on Weed Seedbanks. Frontiers in Agronomy. 2. 26 indexed citations
8.
Nichols, Virginia, et al.. (2020). Cover crops and weed suppression in the U.S. Midwest: A meta-analysis and modeling study. Insecta mundi. 53 indexed citations
9.
Nichols, Virginia, et al.. (2020). Cover crops and weed suppression in the U.S. Midwest: A meta‐analysis and modeling study. Agricultural & Environmental Letters. 5(1). 1 indexed citations
10.
Liebman, Matt & Virginia Nichols. (2020). Cropping System Redesign for Improved Weed Management: A Modeling Approach Illustrated with Giant Ragweed (Ambrosia trifida). Agronomy. 10(2). 262–262. 17 indexed citations
11.
Nichols, Virginia, et al.. (2019). Does diversifying crop rotations suppress weeds? A meta-analysis. PLoS ONE. 14(7). e0219847–e0219847. 162 indexed citations
12.
Nichols, Virginia, Raziel A. Ordóñez, Emily E. Wright, et al.. (2019). Maize root distributions strongly associated with water tables in Iowa, USA. Plant and Soil. 444(1-2). 225–238. 42 indexed citations
13.
Martinez‐Feria, Rafael A., Virginia Nichols, Bruno Basso, & Sotirios V. Archontoulis. (2019). Can multi-strategy management stabilize nitrate leaching under increasing rainfall?. Environmental Research Letters. 14(12). 124079–124079. 20 indexed citations
14.
Nichols, Virginia, et al.. (2017). Multi‐Locus Mixed Model Analysis Of Stem Rust Resistance In Winter Wheat. The Plant Genome. 10(2). 15 indexed citations
15.
Nichols, Virginia, Fernando E. Miguez, Thomas J. Sauer, & Ranae Dietzel. (2016). Maize and Prairie Root Contributions to Soil CO2 Emissions in the Field. Crop Science. 56(5). 2791–2801. 7 indexed citations
16.
Nichols, Virginia, Nele Verhulst, Rachael Cox, & Bram Govaerts. (2015). Weed dynamics and conservation agriculture principles: A review. Field Crops Research. 183. 56–68. 312 indexed citations breakdown →
17.
Nichols, Virginia, Fernando E. Miguez, Meghann Jarchow, Matt Liebman, & Bruce S. Dien. (2014). Comparison of Cellulosic Ethanol Yields from Midwestern Maize and Reconstructed Tallgrass Prairie Systems Managed for Bioenergy. BioEnergy Research. 7(4). 1550–1560. 14 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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