Tai McClellan Maaz

1.1k total citations
32 papers, 585 citations indexed

About

Tai McClellan Maaz is a scholar working on Soil Science, Plant Science and Molecular Biology. According to data from OpenAlex, Tai McClellan Maaz has authored 32 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Soil Science, 12 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Tai McClellan Maaz's work include Soil Carbon and Nitrogen Dynamics (12 papers), Plant nutrient uptake and metabolism (7 papers) and Nitrogen and Sulfur Effects on Brassica (6 papers). Tai McClellan Maaz is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (12 papers), Plant nutrient uptake and metabolism (7 papers) and Nitrogen and Sulfur Effects on Brassica (6 papers). Tai McClellan Maaz collaborates with scholars based in United States, Australia and China. Tai McClellan Maaz's co-authors include William L. Pan, Michael B. Kantar, Alison J. Eagle, Kaushik Majumdar, Tek B. Sapkota, Tom Bruulsema, David R. Huggins, N. V. Hue, Jonathan L. Deenik and Vicki McCracken and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Tai McClellan Maaz

29 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tai McClellan Maaz United States	14	268	260	143	72	71	32	585
Lei Qiao China	11	293 1.1×	248 1.0×	114 0.8×	61 0.8×	57 0.8×	18	557
Chen LiuGen China	11	402 1.5×	289 1.1×	88 0.6×	81 1.1×	90 1.3×	31	667
Zheng Jianchu China	10	342 1.3×	246 0.9×	93 0.7×	105 1.5×	73 1.0×	42	567
Jiping Gao China	14	352 1.3×	297 1.1×	88 0.6×	46 0.6×	50 0.7×	30	653
Cong Xu China	14	292 1.1×	393 1.5×	146 1.0×	55 0.8×	143 2.0×	31	748
Hongcui Dai China	15	173 0.6×	292 1.1×	100 0.7×	49 0.7×	66 0.9×	27	538
Jason Condon Australia	15	172 0.6×	249 1.0×	84 0.6×	49 0.7×	77 1.1×	53	548
Yanchen Wen China	8	251 0.9×	337 1.3×	79 0.6×	49 0.7×	92 1.3×	12	589
Weifeng Song China	6	202 0.8×	294 1.1×	76 0.5×	57 0.8×	39 0.5×	17	486

Countries citing papers authored by Tai McClellan Maaz

Since Specialization

Citations

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

Fields of papers citing papers by Tai McClellan Maaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai McClellan Maaz. 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 Tai McClellan Maaz. The network helps show where Tai McClellan Maaz may publish in the future.

Co-authorship network of co-authors of Tai McClellan Maaz

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

All Works

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20 of 20 papers shown

Maaz, Tai McClellan, et al.. (2025). From volcanic ash to abundant earth: understanding Andisol organic matter dynamics in relation to soil health on Hawaiʻi Island. Biogeochemistry. 168(2). 1 indexed citations

McCormick, Anna, et al.. (2025). Species distribution of Cannabis sativa: Past, present and future. PLoS ONE. 20(3). e0306007–e0306007. 1 indexed citations

Maaz, Tai McClellan, et al.. (2025). A chronosequence of climosequences: The evolution of ecological soil thresholds in Hawaiian volcanic soils. Geoderma. 460. 117427–117427.

Maaz, Tai McClellan, et al.. (2025). Review of research and innovation on novel fertilizers for crop nutrition. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

Burden, John, Tai McClellan Maaz, Makena Coffman, et al.. (2025). Economic Feasibility of Agrivoltaic Systems for Sustainable Small Scale Farming. Food and Energy Security. 14(4).

Tamagno, Santiago, Tai McClellan Maaz, Chris van Kessel, et al.. (2024). Critical assessment of nitrogen use efficiency indicators: Bridging new and old paradigms to improve sustainable nitrogen management. European Journal of Agronomy. 159. 127231–127231. 13 indexed citations

Jungers, Jacob M., Bryan C. Runck, Patrick M. Ewing, et al.. (2023). Adapting perennial grain and oilseed crops for climate resiliency. Crop Science. 63(4). 1701–1721. 6 indexed citations

Hue, N. V., et al.. (2023). Biochar Production, Modification, and Its Uses in Soil Remediation: A Review. Sustainability. 15(4). 3442–3442. 46 indexed citations

Maaz, Tai McClellan, et al.. (2023). Measuring the immeasurable: A structural equation modeling approach to assessing soil health. The Science of The Total Environment. 870. 161900–161900. 31 indexed citations

10.

Crow, Susan E., et al.. (2023). The legacy of intensive agricultural history on the soil health of (sub)tropical landscapes. Frontiers in Environmental Science. 10. 6 indexed citations

11.

Maaz, Tai McClellan, et al.. (2022). Measuring the Unmeasurable: A Structural Equation Modeling Approach to Assessing Soil Health. SSRN Electronic Journal. 1 indexed citations

12.

York, Larry M., Marcus Griffiths, & Tai McClellan Maaz. (2022). Whole-plant phenotypic engineering: moving beyond ratios for multi-objective optimization of nutrient use efficiency. Current Opinion in Biotechnology. 75. 102682–102682. 9 indexed citations

13.

Udvardi, Michael K., Frederick E. Below, Michael J. Castellano, et al.. (2021). A Research Road Map for Responsible Use of Agricultural Nitrogen. Frontiers in Sustainable Food Systems. 5. 66 indexed citations

14.

Eagle, Alison J., Eileen L. McLellan, Martin H. Chantigny, et al.. (2020). Quantifying On‐Farm Nitrous Oxide Emission Reductions in Food Supply Chains. Earth s Future. 8(10). 28 indexed citations

15.

Maaz, Tai McClellan. (2018). Can stabilized nitrogen fertilizer sources reduce losses through multiple loss pathways?. Crops & Soils. 51(5). 38–61.

16.

Maaz, Tai McClellan, et al.. (2018). Nitrogen Affects Wheat and Canola Silica Accumulation, Soil Silica Forms, and Crusting. Journal of Environmental Quality. 47(6). 1380–1388. 9 indexed citations

17.

Pan, William L., William F. Schillinger, Frank L. Young, et al.. (2017). Integrating Historic Agronomic and Policy Lessons with New Technologies to Drive Farmer Decisions for Farm and Climate: The Case of Inland Pacific Northwestern U.S.. Frontiers in Environmental Science. 5. 18 indexed citations

18.

Pan, William L., et al.. (2017). 4R nitrogen management when integrating canola into semi‐arid wheat. Crops & Soils. 50(3). 16–66. 1 indexed citations

19.

Maaz, Tai McClellan & William L. Pan. (2017). Residual Fertilizer, Crop Sequence, and Water Availability Impact Rotational Nitrogen Balances. Agronomy Journal. 109(6). 2839–2862. 11 indexed citations

20.

Pan, William L., et al.. (2016). Mitscherlich‐Modeled, Semi‐Arid Canola Nitrogen Requirements Influenced by Soil Nitrogen and Water. Agronomy Journal. 108(5). 2163–2163. 2 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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