Daniel P. Schachtman

20.5k total citations · 4 hit papers
125 papers, 13.2k citations indexed

About

Daniel P. Schachtman is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Daniel P. Schachtman has authored 125 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Plant Science, 34 papers in Molecular Biology and 14 papers in Soil Science. Recurrent topics in Daniel P. Schachtman's work include Plant nutrient uptake and metabolism (51 papers), Plant Stress Responses and Tolerance (48 papers) and Plant Micronutrient Interactions and Effects (23 papers). Daniel P. Schachtman is often cited by papers focused on Plant nutrient uptake and metabolism (51 papers), Plant Stress Responses and Tolerance (48 papers) and Plant Micronutrient Interactions and Effects (23 papers). Daniel P. Schachtman collaborates with scholars based in United States, Australia and Japan. Daniel P. Schachtman's co-authors include Ryoung Shin, Robert J. Reid, Sarah M. Ayling, Julian I. Schroeder, Jason Q. D. Goodger, Ellen L. Marsh, Rana Munns, Yen Ning Chai, Sophie Alvarez and Weihong Liu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel P. Schachtman

125 papers receiving 12.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Phosphorus Uptake by Plants: From Soil to Cell

1998 1.5k citations Daniel P. Schachtman et al. PLANT PHYSIOLOGY profile →
Structure and transport mechanism of a high-affinity potassium uptake transporter from higher plants

1994 485 citations Daniel P. Schachtman, Julian I. Schroeder profile →
Chemical root to shoot signaling under drought

2008 464 citations Daniel P. Schachtman, Jason Q. D. Goodger profile →
Root exudates impact plant performance under abiotic stress

2021 303 citations Yen Ning Chai, Daniel P. Schachtman profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel P. Schachtman United States	60	11.5k	3.2k	989	630	559	125	13.2k
Mohammad Pessarakli United States	37	7.7k 0.7×	1.7k 0.5×	912 0.9×	859 1.4×	451 0.8×	251	10.2k
Nicolaus von Wirén Germany	66	13.7k 1.2×	3.2k 1.0×	1.2k 1.2×	841 1.3×	417 0.7×	182	15.5k
‪Aurelio Gómez‐Cadenas Spain	57	9.5k 0.8×	3.5k 1.1×	524 0.5×	351 0.6×	450 0.8×	211	11.1k
Narendra Tuteja India	54	8.9k 0.8×	5.3k 1.7×	490 0.5×	380 0.6×	460 0.8×	239	12.7k
Stephen D. Tyerman Australia	67	12.2k 1.1×	3.3k 1.0×	685 0.7×	441 0.7×	649 1.2×	205	14.2k
Yi Zhang China	43	4.9k 0.4×	2.0k 0.6×	1000 1.0×	441 0.7×	564 1.0×	309	7.6k
Anthony D. M. Glass Canada	59	10.2k 0.9×	1.6k 0.5×	1.4k 1.4×	771 1.2×	498 0.9×	146	11.5k
Guohua Xu China	71	16.8k 1.5×	3.6k 1.1×	1.1k 1.2×	1.2k 1.8×	346 0.6×	335	19.2k
Stanley Lutts Belgium	58	11.4k 1.0×	2.7k 0.8×	716 0.7×	443 0.7×	372 0.7×	238	13.5k
Kamrun Nahar Bangladesh	59	9.8k 0.9×	2.3k 0.7×	601 0.6×	567 0.9×	310 0.6×	134	12.0k

Countries citing papers authored by Daniel P. Schachtman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Schachtman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Schachtman. 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 Daniel P. Schachtman. The network helps show where Daniel P. Schachtman may publish in the future.

Co-authorship network of co-authors of Daniel P. Schachtman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Schachtman. A scholar is included among the top collaborators of Daniel P. Schachtman 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 Daniel P. Schachtman. Daniel P. Schachtman 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

Mukhtar, Hussnain, et al.. (2024). Nitrogen input differentially shapes the rhizosphere microbiome diversity and composition across diverse maize lines. Biology and Fertility of Soils. 61(1). 1–12. 4 indexed citations

Wijewardane, Nuwan K., Huichun Zhang, Jinliang Yang, et al.. (2023). A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer. Journal of Experimental Botany. 74(14). 4050–4062. 15 indexed citations

Chai, Yen Ning, Emily Goren, Dawn Chiniquy, et al.. (2023). Root-associated bacterial communities and root metabolite composition are linked to nitrogen use efficiency in sorghum. mSystems. 9(1). e0119023–e0119023. 13 indexed citations

Wang, Peng, Lucas Dantas Lopes, Martha Lopez‐Guerrero, et al.. (2022). Natural variation in root exudation of GABA and DIMBOA impacts the maize root endosphere and rhizosphere microbiomes. Journal of Experimental Botany. 73(14). 5052–5066. 31 indexed citations

Qi, Mingsheng, Jeffrey C. Berry, Kira M. Veley, et al.. (2022). Identification of beneficial and detrimental bacteria impacting sorghum responses to drought using multi-scale and multi-system microbiome comparisons. The ISME Journal. 16(8). 1957–1969. 59 indexed citations

Berry, Jeffrey C., Mingsheng Qi, Balasaheb V. Sonawane, et al.. (2022). Increased signal-to-noise ratios within experimental field trials by regressing spatially distributed soil properties as principal components. eLife. 11. 4 indexed citations

Chiniquy, Dawn, Elle M. Barnes, Jinglie Zhou, et al.. (2021). Microbial Community Field Surveys Reveal Abundant Pseudomonas Population in Sorghum Rhizosphere Composed of Many Closely Related Phylotypes. Frontiers in Microbiology. 12. 598180–598180. 22 indexed citations

Fahlgren, Noah, Toni M. Kutchan, Daniel P. Schachtman, et al.. (2021). Discovering candidate genes related to flowering time in the spring panel of Camelina sativa. Industrial Crops and Products. 173. 114104–114104. 7 indexed citations

Paéz-Valencia, Julio, Ellen L. Marsh, Mirella Pupo Santos, et al.. (2013). Enhanced Proton Translocating Pyrophosphatase Activity Improves Nitrogen Use Efficiency in Romaine Lettuce . PLANT PHYSIOLOGY. 161(3). 1557–1569. 63 indexed citations

10.

Hong, Jong-Pil, Takeshi Yoshizumi, Youichi Kondou, et al.. (2013). Identification and Characterization of Transcription Factors\nRegulating Arabidopsis <i>HAK5</i>. Insecta mundi. 77 indexed citations

11.

Kim, Min Jung, Daniel R. Ruzicka, Ryoung Shin, & Daniel P. Schachtman. (2012). The Arabidopsis AP2/ERF Transcription Factor RAP2.11 Modulates Plant Response to Low-Potassium Conditions. Molecular Plant. 5(5). 1042–1057. 148 indexed citations

12.

Jung, Ji‐Yul, Ryoung Shin, & Daniel P. Schachtman. (2009). Ethylene Mediates Response and Tolerance to Potassium Deprivation in Arabidopsis . The Plant Cell. 21(2). 607–621. 273 indexed citations

13.

Spollen, William G., Babu Valliyodan, Jong-Joo Kim, et al.. (2008). Spatial distribution of transcript changes in the maize primary root elongation zone at low water potential. BMC Plant Biology. 8(1). 32–32. 77 indexed citations

14.

Shin, Ryoung, Adrien Y. Burch, Kari A. Huppert, et al.. (2007). The Arabidopsis Transcription Factor MYB77 Modulates Auxin Signal Transduction. The Plant Cell. 19(8). 2440–2453. 342 indexed citations

15.

Goodger, Jason Q. D., Robert E. Sharp, Ellen L. Marsh, & Daniel P. Schachtman. (2005). Relationships between xylem sap constituents and leaf conductance of well-watered and water-stressed maize across three xylem sap sampling techniques. Journal of Experimental Botany. 56(419). 2389–2400. 94 indexed citations

16.

Shin, Ryoung & Daniel P. Schachtman. (2004). Hydrogen peroxide mediates plant root cell response to nutrient deprivation. Proceedings of the National Academy of Sciences. 101(23). 8827–8832. 459 indexed citations

17.

Schachtman, Daniel P., et al.. (2000). The effect of low concentrations of sodium on potassium uptake and growth of wheat. Australian Journal of Plant Physiology. 27(2). 175–182. 19 indexed citations

18.

Antosiewicz, Danuta Maria, Daniel P. Schachtman, Stephan Clemens, & Julian I. Schroeder. (1996). cDNA from wheat roots enhances transport of cadmium, lead and calcium to yeast cells. 33. 2 indexed citations

19.

Munns, Rana, Daniel P. Schachtman, & AG Condon. (1995). The Significance of a Two-Phase Growth Response to Salinity in Wheat and Barley. Australian Journal of Plant Physiology. 22(4). 561–569. 329 indexed citations

20.

Schachtman, Daniel P. & Rana Munns. (1992). Sodium Accumulation in Leaves of Triticum Species That Differ in Salt Tolerance. Australian Journal of Plant Physiology. 19(3). 331–340. 147 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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