Adina Howe

4.5k total citations · 1 hit paper
63 papers, 2.3k citations indexed

About

Adina Howe is a scholar working on Ecology, Molecular Biology and Pollution. According to data from OpenAlex, Adina Howe has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, 26 papers in Molecular Biology and 26 papers in Pollution. Recurrent topics in Adina Howe's work include Pharmaceutical and Antibiotic Environmental Impacts (20 papers), Microbial Community Ecology and Physiology (17 papers) and Gut microbiota and health (14 papers). Adina Howe is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (20 papers), Microbial Community Ecology and Physiology (17 papers) and Gut microbiota and health (14 papers). Adina Howe collaborates with scholars based in United States, Canada and France. Adina Howe's co-authors include Ryan J. Williams, Kirsten Hofmockel, Petr Baldrián, Tomáš Větrovský, Lucia Žifčáková, James M. Tiedje, Michelle L. Soupir, Jason Pell, C. Titus Brown and Jinlyung Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Adina Howe

59 papers receiving 2.3k citations

Hit Papers

Microbial activity in forest soil reflects the changes in... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adina Howe United States 23 930 836 468 447 321 63 2.3k
Michael J. Rothrock United States 29 364 0.4× 597 0.7× 508 1.1× 229 0.5× 177 0.6× 119 2.7k
A. García-Rodríguez Spain 22 1.6k 1.7× 1.8k 2.1× 346 0.7× 476 1.1× 154 0.5× 76 3.8k
Michelle Sait Australia 17 841 0.9× 733 0.9× 184 0.4× 255 0.6× 174 0.5× 36 1.8k
Johannes Sikorski Germany 27 1.1k 1.2× 1.2k 1.5× 178 0.4× 704 1.6× 153 0.5× 57 2.6k
Tobias Paczian United States 9 1.6k 1.7× 1.8k 2.2× 379 0.8× 327 0.7× 148 0.5× 12 3.1k
M. D'Souza United States 4 1.4k 1.5× 1.6k 1.9× 332 0.7× 343 0.8× 132 0.4× 6 2.8k
Ying Huang China 35 1.0k 1.1× 2.8k 3.3× 209 0.4× 1.5k 3.3× 141 0.4× 288 5.1k
Ole Højberg Denmark 33 485 0.5× 1.0k 1.2× 303 0.6× 453 1.0× 183 0.6× 71 3.5k
Michael Kubal United States 4 1.4k 1.5× 1.7k 2.0× 331 0.7× 304 0.7× 132 0.4× 4 2.8k
Cornelius Carlos Bezuidenhout South Africa 29 322 0.3× 565 0.7× 545 1.2× 423 0.9× 102 0.3× 133 2.3k

Countries citing papers authored by Adina Howe

Since Specialization
Citations

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

Fields of papers citing papers by Adina Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adina Howe

This figure shows the co-authorship network connecting the top 25 collaborators of Adina Howe. A scholar is included among the top collaborators of Adina Howe 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 Adina Howe. Adina Howe 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.
VanLoocke, Andy, Marshall D. McDaniel, Adina Howe, et al.. (2025). Aboveground Rather Than Belowground Productivity Drives Variability in Miscanthus × giganteus Net Primary Productivity. GCB Bioenergy. 17(9).
4.
Soupir, Michelle L., et al.. (2023). Comparison of antibiotic resistance genes in swine manure storage pits of Iowa, USA. PubMed. 2. 1116785–1116785. 2 indexed citations
5.
Yang, Jihoon, et al.. (2023). One-Week-Ahead Prediction of Cyanobacterial Harmful Algal Blooms in Iowa Lakes. Environmental Science & Technology. 57(49). 20636–20646. 11 indexed citations
6.
Lü, Chaoqun, Wenjuan Huang, Wenjuan Yu, et al.. (2023). Resolving the influence of lignin on soil organic matter decomposition with mechanistic models and continental‐scale data. Global Change Biology. 29(20). 5968–5980. 16 indexed citations
7.
Choi, Jinlyung, Nicole Ricker, Fan Yang, et al.. (2022). Diversity of Antibiotic Resistance genes and Transfer Elements-Quantitative Monitoring (DARTE-QM): a method for detection of antimicrobial resistance in environmental samples. Communications Biology. 5(1). 216–216. 8 indexed citations
8.
Soupir, Michelle L., et al.. (2022). Prairie strips’ effect on transport of antimicrobial resistance indicators in poultry litter. Journal of Environmental Quality. 51(2). 260–271. 4 indexed citations
10.
Staley, Zachery R., Xu Li, Daniel D. Snow, et al.. (2022). The Human Health Implications of Antibiotic Resistance in Environmental Isolates from Two Nebraska Watersheds. Microbiology Spectrum. 10(2). e0208221–e0208221. 4 indexed citations
11.
McDaniel, Marshall D., et al.. (2021). Soil net nitrogen mineralization and leaching under Miscanthus × giganteus and Zea mays. GCB Bioenergy. 13(9). 1545–1560. 26 indexed citations
12.
Liu, Jia, Jinlyung Choi, Santosh Gunturu, et al.. (2021). MetaFunPrimer: an Environment-Specific, High-Throughput Primer Design Tool for Improved Quantification of Target Genes. mSystems. 6(5). e0020121–e0020121. 2 indexed citations
13.
Howe, Adina & Michelle L. Soupir. (2021). Antimicrobial resistance in integrated agroecosystems: State of the science and future opportunities. Journal of Environmental Quality. 50(6). 1255–1265. 7 indexed citations
14.
Soupir, Michelle L., et al.. (2021). Antibiotic resistance gene dissipation in soil microcosms amended with antibiotics and swine manure. Journal of Environmental Quality. 50(4). 911–922. 8 indexed citations
15.
Lee, Jae‐Jin, et al.. (2021). Comparison of microbial communities in replicated woodchip bioreactors. Journal of Environmental Quality. 51(2). 205–215. 5 indexed citations
16.
Howe, Adina, et al.. (2021). Denitrifying bioreactor microbiome: Understanding pollution swapping and potential for improved performance. Journal of Environmental Quality. 51(1). 1–18. 12 indexed citations
17.
Lee, Jae‐Jin, Jinlyung Choi, Thanwalee Sooksa-nguan, et al.. (2020). The Impact of Stand Age and Fertilization on the Soil Microbiome of Miscanthus × giganteus. Phytobiomes Journal. 5(1). 51–59. 26 indexed citations
18.
Yang, Fan, Elizabeth L. Rieke, Michelle L. Soupir, et al.. (2019). Investigating the dispersal of antibiotic resistance associated genes from manure application to soil and drainage waters in simulated agricultural farmland systems. PLoS ONE. 14(9). e0222470–e0222470. 23 indexed citations
19.
Choi, Jinlyung, Fan Yang, Ramūnas Stepanauskas, et al.. (2016). Strategies to improve reference databases for soil microbiomes. The ISME Journal. 11(4). 829–834. 82 indexed citations
20.
Howe, Adina, Daina L. Ringus, Ryan J. Williams, et al.. (2015). Divergent responses of viral and bacterial communities in the gut microbiome to dietary disturbances in mice. The ISME Journal. 10(5). 1217–1227. 74 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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