R Pohmann

3.6k total citations
114 papers, 2.7k citations indexed

About

R Pohmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, R Pohmann has authored 114 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Spectroscopy and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in R Pohmann's work include Advanced MRI Techniques and Applications (88 papers), Advanced NMR Techniques and Applications (26 papers) and Atomic and Subatomic Physics Research (24 papers). R Pohmann is often cited by papers focused on Advanced MRI Techniques and Applications (88 papers), Advanced NMR Techniques and Applications (26 papers) and Atomic and Subatomic Physics Research (24 papers). R Pohmann collaborates with scholars based in Germany, United States and Switzerland. R Pohmann's co-authors include Klaus Scheffler, G Shajan, Markus von Kienlin, Jens Hoffmann, Oliver Speck, Bernhard Schölkopf, Hannes Nickisch, Axel Haase, Kâmil Uǧurbil and Axel Thielscher and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

R Pohmann

110 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R Pohmann Germany	30	2.0k	658	510	445	391	114	2.7k
Fernando E. Boada United States	36	2.9k 1.5×	901 1.4×	731 1.4×	274 0.6×	251 0.6×	140	4.0k
Wolfgang Bogner Austria	42	4.0k 2.0×	940 1.4×	505 1.0×	348 0.8×	427 1.1×	166	5.0k
Stephan Gruber Austria	40	3.3k 1.7×	712 1.1×	322 0.6×	274 0.6×	316 0.8×	93	4.2k
Graham C. Wiggins United States	32	2.7k 1.3×	738 1.1×	801 1.6×	987 2.2×	163 0.4×	74	3.6k
Borjan Gagoski United States	31	2.9k 1.4×	539 0.8×	648 1.3×	690 1.6×	140 0.4×	99	3.7k
Dirk Mayer United States	35	1.3k 0.7×	1.2k 1.8×	433 0.8×	175 0.4×	381 1.0×	96	2.8k
Mary A. McLean United Kingdom	34	2.2k 1.1×	558 0.8×	238 0.5×	391 0.9×	197 0.5×	102	3.5k
Ileana Hancu United States	24	1.4k 0.7×	415 0.6×	308 0.6×	128 0.3×	449 1.1×	48	2.0k
Richard P. Kennan United States	33	2.4k 1.2×	333 0.5×	370 0.7×	674 1.5×	279 0.7×	65	3.5k
Alan H. Wilman Canada	36	2.3k 1.2×	341 0.5×	297 0.6×	670 1.5×	137 0.4×	118	3.7k

Countries citing papers authored by R Pohmann

Since Specialization

Citations

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

Fields of papers citing papers by R Pohmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Pohmann

This figure shows the co-authorship network connecting the top 25 collaborators of R Pohmann. A scholar is included among the top collaborators of R Pohmann 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 R Pohmann. R Pohmann 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

Jiang, Yuanyuan, et al.. (2024). Implementation of 2D Line-scanning Method. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Pohmann, R, Uwe Klose, Petros Martirosian, et al.. (2024). Evaluation of the contribution of individual arteries to the cerebral blood supply in patients with Moyamoya angiopathy: comparison of vessel-encoded arterial spin labeling and digital subtraction angiography. Neuroradiology. 66(7). 1131–1140. 3 indexed citations

Jiang, Yuanyuan, Patricia Pais‐Roldán, R Pohmann, & Xin Yu. (2024). High Spatiotemporal Resolution Radial Encoding Single‐Vessel fMRI. Advanced Science. 11(26). e2309218–e2309218. 4 indexed citations

Pohmann, R, Nikolai I. Avdievich, & Klaus Scheffler. (2024). Signal‐to‐noise ratio versus field strength for small surface coils. NMR in Biomedicine. 37(10). e5168–e5168. 4 indexed citations

Scheffler, Klaus, et al.. (2023). Concurrent intrinsic optical imaging and fMRI at ultra‐high field using magnetic field proof optical components. NMR in Biomedicine. 36(7). e4909–e4909. 1 indexed citations

Balla, Dávid Z., Joana Loureiro, Manuela Neumann, et al.. (2020). Ultra-High Field MRI in Alzheimer’s Disease: Effective Transverse Relaxation Rate and Quantitative Susceptibility Mapping of Human Brain In Vivo and Ex Vivo compared to Histology. Journal of Alzheimer s Disease. 73(4). 1481–1499. 18 indexed citations

Handwerker, Jonas, Michael Beyerlein, Franck Vincent, et al.. (2019). A CMOS NMR needle for probing brain physiology with high spatial and temporal resolution. Nature Methods. 17(1). 64–67. 30 indexed citations

Hagberg, G, J Bause, Thomas Ethofer, et al.. (2016). Whole brain MP2RAGE-based mapping of the longitudinal relaxation time at 9.4T. NeuroImage. 144(Pt A). 203–216. 35 indexed citations

Bause, J, et al.. (2016). Fast and efficient free induction decay MR spectroscopic imaging of the human brain at 9.4 Tesla. Magnetic Resonance in Medicine. 78(4). 1281–1295. 16 indexed citations

10.

Pohmann, R, et al.. (2015). Ultrahigh resolution anatomical brain imaging at 9.4 T using prospective motion correction. Magnetic Resonance Materials in Physics Biology and Medicine. 1 indexed citations

11.

Shajan, G, J Bause, R Pohmann, & Klaus Scheffler. (2015). Choice of RF coils at 9.4T: SNR and B1+ of transceiver and transmit-only receive-only arrays. Max Planck Digital Library. 1 indexed citations

12.

Nagel, Armin M., Susanne C. Ladd, Jens Theysohn, et al.. (2014). Multicenter Study of Subjective Acceptance During Magnetic Resonance Imaging at 7 and 9.4 T. Investigative Radiology. 49(5). 249–259. 39 indexed citations

13.

Pohmann, R, G Shajan, G Hagberg, et al.. (2013). Imaging and Spectroscopy at 9.4 Tesla: First Results on Patients and Volunteers. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

14.

Shajan, G, Mikhail Kozlov, Jens Hoffmann, et al.. (2013). A 16‐channel dual‐row transmit array in combination with a 31‐element receive array for human brain imaging at 9.4 T. Magnetic Resonance in Medicine. 71(2). 870–879. 169 indexed citations

15.

Shajan, G, Jens Hoffmann, Klaus Scheffler, & R Pohmann. (2012). A 31-Element Receive Array for Human Brain Imaging at 9.4T. Magnetic Resonance Materials in Physics Biology and Medicine. 265–266. 1 indexed citations

16.

Thielscher, Axel, et al.. (2012). Effects of Parietal TMS on Visual and Auditory Processing at the Primary Cortical Level – A Concurrent TMS-fMRI Study. Cerebral Cortex. 23(4). 873–884. 28 indexed citations

17.

Shajan, G, et al.. (2011). A 15-channel receive array and 16 channel detunable transmit coil for human brain imaging at 9.4 T. MPG.PuRe (Max Planck Society). 3825. 4 indexed citations

18.

Pohmann, R. (2011). Physical Basics of NMR. Methods in molecular biology. 771. 3–21. 5 indexed citations

19.

Joshi, Rajendra, Ritu Mishra, R Pohmann, & Jörn Engelmann. (2010). MR contrast agent composed of cholesterol and peptide nucleic acids: Design, synthesis and cellular uptake. Bioorganic & Medicinal Chemistry Letters. 20(7). 2238–2241. 10 indexed citations

20.

Pohmann, R. (2007). Acquisition-Weighted CSI with a Small Number of Scans. MPG.PuRe (Max Planck Society). 264. 1 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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