Timothy J Ross-Elliott

662 total citations
9 papers, 466 citations indexed

About

Timothy J Ross-Elliott is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Timothy J Ross-Elliott has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Timothy J Ross-Elliott's work include Plant nutrient uptake and metabolism (7 papers), Plant Molecular Biology Research (5 papers) and Polysaccharides and Plant Cell Walls (2 papers). Timothy J Ross-Elliott is often cited by papers focused on Plant nutrient uptake and metabolism (7 papers), Plant Molecular Biology Research (5 papers) and Polysaccharides and Plant Cell Walls (2 papers). Timothy J Ross-Elliott collaborates with scholars based in United States, United Kingdom and Denmark. Timothy J Ross-Elliott's co-authors include Michael Knoblauch, Daniel L. Mullendore, Kaare H. Jensen, Daniel Frœlich, Gary A. Thompson, James A. Anstead, Karl Oparka, Alexander G. Monteith, Jung‐Youn Lee and Jan Knoblauch and has published in prestigious journals such as The Plant Cell, Nature Methods and New Phytologist.

In The Last Decade

Timothy J Ross-Elliott

9 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy J Ross-Elliott United States	7	357	179	39	19	16	9	466
Gina Turco United States	10	491 1.4×	506 2.8×	25 0.6×	15 0.8×	20 1.3×	11	723
Tom Denyer Germany	7	465 1.3×	467 2.6×	36 0.9×	24 1.3×	9 0.6×	9	693
Rachel Shahan United States	8	569 1.6×	484 2.7×	21 0.5×	12 0.6×	35 2.2×	9	703
Xiaoli Ma Germany	7	367 1.0×	430 2.4×	25 0.6×	13 0.7×	12 0.8×	10	590
Eliana Mor Belgium	8	379 1.1×	308 1.7×	14 0.4×	4 0.2×	33 2.1×	10	466
Jérôme Bove France	7	532 1.5×	408 2.3×	12 0.3×	6 0.3×	28 1.8×	8	663
Isaiah Taylor United States	11	360 1.0×	298 1.7×	21 0.5×	17 0.9×	10 0.6×	17	497
Che‐Wei Hsu United States	6	222 0.6×	208 1.2×	19 0.5×	7 0.4×	9 0.6×	8	342
Bernhard Blob United Kingdom	7	331 0.9×	271 1.5×	13 0.3×	7 0.4×	14 0.9×	9	403

Countries citing papers authored by Timothy J Ross-Elliott

Since Specialization

Citations

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

Fields of papers citing papers by Timothy J Ross-Elliott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J Ross-Elliott. 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 Timothy J Ross-Elliott. The network helps show where Timothy J Ross-Elliott may publish in the future.

Co-authorship network of co-authors of Timothy J Ross-Elliott

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

All Works

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9 of 9 papers shown

Watkins, Justin M., Timothy J Ross-Elliott, Xiaoyi Shan, et al.. (2021). Differential regulation of G protein signaling in Arabidopsis through two distinct pathways that internalize AtRGS1. Science Signaling. 14(695). 13 indexed citations

Llopis, Paula Montero, Rebecca A. Senft, Timothy J Ross-Elliott, et al.. (2021). Best practices and tools for reporting reproducible fluorescence microscopy methods. Nature Methods. 18(12). 1463–1476. 69 indexed citations

Knoblauch, Michael, Winfried S. Peters, Karen Bell, Timothy J Ross-Elliott, & Karl Oparka. (2018). Sieve-element differentiation and phloem sap contamination. Current Opinion in Plant Biology. 43. 43–49. 26 indexed citations

Tunc‐Ozdemir, Meral, et al.. (2018). Long‐distance communication in Arabidopsis involving a self‐activating G protein. Plant Direct. 2(2). e00037–e00037. 5 indexed citations

Mullendore, Daniel L., Timothy J Ross-Elliott, Yan Liu, et al.. (2018). Non-dispersive phloem-protein bodies (NPBs) ofPopulus trichocarpaconsist of a SEOR protein and do not respond to cell wounding and Ca²⁺. PeerJ. 6. e4665–e4665. 11 indexed citations

Urano, Daisuke, et al.. (2018). Nudge‐nudge, WNK‐WNK (kinases), say no more?. New Phytologist. 220(1). 35–48. 25 indexed citations

Ross-Elliott, Timothy J, Kaare H. Jensen, Jan Knoblauch, et al.. (2017). Phloem unloading in Arabidopsis roots is convective and regulated by the phloem-pole pericycle. eLife. 6. 183 indexed citations

Mullendore, Daniel L., et al.. (2015). Investigation of Structure-Function Relationship of Long-Distance Transport in Plants: New Imaging Tools to Answer Old Questions. Microscopy and Microanalysis. 21(S3). 1491–1492. 2 indexed citations

Frœlich, Daniel, Daniel L. Mullendore, Kaare H. Jensen, et al.. (2011). Phloem Ultrastructure and Pressure Flow: Sieve-Element-Occlusion-Related Agglomerations Do Not Affect Translocation. The Plant Cell. 23(12). 4428–4445. 132 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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