Daniel Pflugfelder

1.6k total citations
28 papers, 1.1k citations indexed

About

Daniel Pflugfelder is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Daniel Pflugfelder has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Radiation. Recurrent topics in Daniel Pflugfelder's work include Plant nutrient uptake and metabolism (10 papers), Medical Imaging Techniques and Applications (6 papers) and Soil Moisture and Remote Sensing (4 papers). Daniel Pflugfelder is often cited by papers focused on Plant nutrient uptake and metabolism (10 papers), Medical Imaging Techniques and Applications (6 papers) and Soil Moisture and Remote Sensing (4 papers). Daniel Pflugfelder collaborates with scholars based in Germany, Australia and United States. Daniel Pflugfelder's co-authors include Jan J. Wilkens, Uwe Oelfke, Dagmar van Dusschoten, Siegfried Jahnke, Ralf Metzner, Ulrich Schurr, Johannes Kochs, Johannes A. Postma, Kaveh Vahedipour and N. Jon Shah and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Daniel Pflugfelder

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pflugfelder Germany 14 563 276 274 211 105 28 1.1k
Cecilia Marie Futsæther Norway 19 240 0.4× 72 0.3× 33 0.1× 187 0.9× 46 0.4× 41 748
M. Streun Germany 12 229 0.4× 23 0.1× 333 1.2× 320 1.5× 17 0.2× 34 659
Edward J. Morton United Kingdom 17 111 0.2× 224 0.8× 457 1.7× 404 1.9× 38 0.4× 65 1.1k
Bo Lin China 15 156 0.3× 48 0.2× 19 0.1× 25 0.1× 19 0.2× 79 870
Edward H. Lee United States 24 822 1.5× 30 0.1× 8 0.0× 135 0.6× 22 0.2× 55 1.6k
Adriane Parraga Brazil 9 41 0.1× 51 0.2× 134 0.5× 148 0.7× 57 0.5× 21 397
Walter Hillen Germany 9 49 0.1× 119 0.4× 57 0.2× 122 0.6× 29 0.3× 15 404
Fei Ren China 14 53 0.1× 27 0.1× 7 0.0× 279 1.3× 5 0.0× 29 771
R.A. Pieritz France 10 13 0.0× 53 0.2× 37 0.1× 23 0.1× 33 0.3× 15 462
Wen‐Hai Zhang China 17 29 0.1× 32 0.1× 9 0.0× 68 0.3× 108 1.0× 92 847

Countries citing papers authored by Daniel Pflugfelder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pflugfelder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pflugfelder

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pflugfelder. A scholar is included among the top collaborators of Daniel Pflugfelder 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 Pflugfelder. Daniel Pflugfelder 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
2.
Frindte, Katharina, Ralf Metzner, Daniel Pflugfelder, et al.. (2025). Photosynthate distribution determines spatial patterns in the rhizosphere microbiota of the maize root system. Nature Communications. 16(1). 7286–7286. 1 indexed citations
3.
Pfaehler, Elisabeth, Daniel Pflugfelder, & Hanno Scharr. (2025). Untrained perceptual loss for image denoising of line-like structures in MRimages. PLoS ONE. 20(2). e0318992–e0318992.
4.
Jahnke, Siegfried, Ralf Metzner, Daniel Pflugfelder, et al.. (2024). Setup and characterisation according to NEMA NU 4 of the phenoPET scanner, a PET system dedicated for plant sciences. Physics in Medicine and Biology. 69(5). 55019–55019. 4 indexed citations
5.
Pflugfelder, Daniel, et al.. (2023). Diurnal water fluxes and growth patterns in potato tubers under drought stress. Plant and Soil. 507(1-2). 269–282. 5 indexed citations
6.
Metzner, Ralf, Jonas Bühler, Daniel Pflugfelder, et al.. (2022). In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants. Plants. 11(5). 632–632. 7 indexed citations
7.
Dusschoten, Dagmar van, Johannes Kochs, Christian Kuppe, et al.. (2020). Spatially Resolved Root Water Uptake Determination Using a Precise Soil Water Sensor. PLANT PHYSIOLOGY. 184(3). 1221–1235. 13 indexed citations
8.
Grimm, Eckhard, et al.. (2020). Spatial heterogeneity of flesh-cell osmotic potential in sweet cherry affects partitioning of absorbed water. Horticulture Research. 7(1). 51–51. 10 indexed citations
9.
Schneider, Hannah, Johannes A. Postma, Johannes Kochs, et al.. (2020). Spatio-Temporal Variation in Water Uptake in Seminal and Nodal Root Systems of Barley Plants Grown in Soil. Frontiers in Plant Science. 11. 1247–1247. 27 indexed citations
10.
Grimm, Eckhard, et al.. (2019). Localized bursting of mesocarp cells triggers catastrophic fruit cracking. Horticulture Research. 6(1). 79–79. 25 indexed citations
11.
Grimm, Eckhard, Daniel Pflugfelder, Dagmar van Dusschoten, Andreas Winkler, & Moritz Knoche. (2017). Physical rupture of the xylem in developing sweet cherry fruit causes progressive decline in xylem sap inflow rate. Planta. 246(4). 659–672. 41 indexed citations
12.
Pflugfelder, Daniel, Ralf Metzner, Dagmar van Dusschoten, et al.. (2017). Non-invasive imaging of plant roots in different soils using magnetic resonance imaging (MRI). Plant Methods. 13(1). 102–102. 87 indexed citations
13.
Streun, M., C. Degenhardt, R. Dorscheid, et al.. (2016). PhenoPET — results from the plant scanner. 1–2. 5 indexed citations
14.
Bühler, Jonas, Daniel Pflugfelder, Gregor Huber, et al.. (2015). phenoVein - A tool for leaf vein segmentation and analysis. PLANT PHYSIOLOGY. 169(4). pp.00974.2015–pp.00974.2015. 46 indexed citations
15.
Metzner, Ralf, Anja Eggert, Dagmar van Dusschoten, et al.. (2015). Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification. Plant Methods. 11(1). 17–17. 201 indexed citations
16.
Pflugfelder, Daniel, Ralf Metzner, Robert Koller, et al.. (2015). Noninvasive 3D Root Imaging. JuSER (Forschungszentrum Jülich). 1 indexed citations
17.
Pflugfelder, Daniel, Kaveh Vahedipour, Kâmil Uludaǧ, N. Jon Shah, & Tony Stöcker. (2011). On the numerically predicted spatial BOLD fMRI specificity for spin echo sequences. Magnetic Resonance Imaging. 29(9). 1195–1204. 18 indexed citations
18.
Stöcker, Tony, Kaveh Vahedipour, Daniel Pflugfelder, & N. Jon Shah. (2010). High‐performance computing MRI simulations. Magnetic Resonance in Medicine. 64(1). 186–193. 106 indexed citations
19.
Pflugfelder, Daniel, Jan J. Wilkens, & Uwe Oelfke. (2008). Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Physics in Medicine and Biology. 53(6). 1689–1700. 220 indexed citations
20.
Pflugfelder, Daniel, Jan J. Wilkens, H. Szymanowski, & Uwe Oelfke. (2007). Quantifying lateral tissue heterogeneities in hadron therapy. Medical Physics. 34(4). 1506–1513. 40 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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