Julian Dindas

17 total papers · 906 total citations
9 papers, 410 citations indexed

About

Julian Dindas is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julian Dindas has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julian Dindas's work include Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers) and Plant nutrient uptake and metabolism (3 papers). Julian Dindas is often cited by papers focused on Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers) and Plant nutrient uptake and metabolism (3 papers). Julian Dindas collaborates with scholars based in Germany, Switzerland and Saudi Arabia. Julian Dindas's co-authors include Rainer Hedrich, M. Rob G. Roelfsema, Klaus Palme, Khaled A. S. Al‐Rasheid, Malcolm J. Bennett, Dirk Becker, Heike M. Müller, Petra Dietrich, Sönke Scherzer and Ingo Drèyer and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Current Biology.

In The Last Decade

Julian Dindas

9 papers receiving 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julian Dindas 374 192 27 23 22 9 410
M. J. Morse 316 0.8× 260 1.4× 35 1.3× 11 0.5× 16 0.7× 13 427
Shouguang Huang 421 1.1× 155 0.8× 15 0.6× 10 0.4× 80 3.6× 18 478
Xiaozhong Luo 330 0.9× 182 0.9× 14 0.5× 7 0.3× 17 0.8× 6 401
Elena Shulaev 405 1.1× 223 1.2× 15 0.6× 7 0.3× 20 0.9× 4 460
Caroline Broyart 342 0.9× 222 1.2× 27 1.0× 6 0.3× 15 0.7× 11 405
Ricardo Magrani Junqueira 210 0.6× 212 1.1× 9 0.3× 16 0.7× 17 0.8× 14 409
Timothy C. Howton 378 1.0× 231 1.2× 12 0.4× 11 0.5× 5 0.2× 16 485
B. R. Terry 358 1.0× 189 1.0× 14 0.5× 5 0.2× 51 2.3× 7 456
Han-Wei Jiang 348 0.9× 272 1.4× 21 0.8× 6 0.3× 8 0.4× 15 474
Fenhong Hu 278 0.7× 236 1.2× 16 0.6× 10 0.4× 3 0.1× 7 393

Countries citing papers authored by Julian Dindas

Since Specialization
Citations

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

Fields of papers citing papers by Julian Dindas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Dindas

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

All Works

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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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