Dávid Z. Balla

566 total citations
20 papers, 426 citations indexed

About

Dávid Z. Balla is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Nuclear and High Energy Physics. According to data from OpenAlex, Dávid Z. Balla has authored 20 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Spectroscopy and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Dávid Z. Balla's work include Advanced MRI Techniques and Applications (17 papers), Advanced NMR Techniques and Applications (9 papers) and NMR spectroscopy and applications (8 papers). Dávid Z. Balla is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), Advanced NMR Techniques and Applications (9 papers) and NMR spectroscopy and applications (8 papers). Dávid Z. Balla collaborates with scholars based in Germany, United States and United Kingdom. Dávid Z. Balla's co-authors include Cornelius Faber, R Pohmann, Klaus Scheffler, G Shajan, Richard Bowtell, G Hagberg, Gerd Melkus, Susan Francis, Samuel Wharton and Benjamin Zahneisen and has published in prestigious journals such as The Journal of Chemical Physics, Neuron and PLoS ONE.

In The Last Decade

Dávid Z. Balla

20 papers receiving 426 citations

Peers

Dávid Z. Balla

RNMI

SPECT

NHEP

AMPO

HP Hetherington United States

Mari A. Smith United States

Luke Edwards Germany

Peter Webb United States

Li An United States

Bruno Jung Switzerland

Uwe Seeger Germany

Raphaël Paquin France

Peter Andersen United States

Steven L. Ponder United States

HP Hetherington United States

Dávid Z. Balla

283 ×0.9

RNMI

112 ×0.7

SPECT

68 ×0.5

NHEP

82 ×0.8

29 ×0.6

AMPO

Citations per year, relative to Dávid Z. Balla Dávid Z. Balla (= 1×) peers HP Hetherington

Countries citing papers authored by Dávid Z. Balla

Since Specialization

Citations

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

Fields of papers citing papers by Dávid Z. Balla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dávid Z. Balla. 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 Dávid Z. Balla. The network helps show where Dávid Z. Balla may publish in the future.

Co-authorship network of co-authors of Dávid Z. Balla

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Z. Balla. A scholar is included among the top collaborators of Dávid Z. Balla 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 Dávid Z. Balla. Dávid Z. Balla 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

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

Balla, Dávid Z., Klaus Scheffler, Kâmil Uǧurbil, et al.. (2020). Quantitative and simultaneous measurement of oxygen consumption rates in rat brain and skeletal muscle using ¹⁷O MRS imaging at 16.4T. Magnetic Resonance in Medicine. 85(4). 2232–2246. 11 indexed citations

Ortiz-Rios, Michael, Frederico A. C. Azevedo, Paweł Kuśmierek, et al.. (2017). Widespread and Opponent fMRI Signals Represent Sound Location in Macaque Auditory Cortex. Neuron. 93(4). 971–983.e4. 38 indexed citations

Groeschel, Samuel, G Hagberg, Thomas Schultz, et al.. (2016). Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI. PLoS ONE. 11(11). e0167274–e0167274. 37 indexed citations

Balla, Dávid Z., G Shajan, Klaus Scheffler, et al.. (2015). ¹⁷O relaxation times in the rat brain at 16.4 tesla. Magnetic Resonance in Medicine. 75(5). 1886–1893. 7 indexed citations

Balla, Dávid Z., Samuel Wharton, G Hagberg, et al.. (2014). Functional quantitative susceptibility mapping (fQSM). NeuroImage. 100. 112–124. 71 indexed citations

Balla, Dávid Z., et al.. (2014). Monitoring the stress-level of rats with different types of anesthesia: A tail-artery cannulation protocol. Journal of Pharmacological and Toxicological Methods. 70(1). 35–39. 8 indexed citations

Balla, Dávid Z., Sven Gottschalk, G Shajan, et al.. (2013). In vivo visualization of single native pancreatic islets in the mouse. Contrast Media & Molecular Imaging. 8(6). 495–504. 9 indexed citations

Balla, Dávid Z., et al.. (2012). Functional Quantitative Susceptibility Mapping (fQSM). Max Planck Digital Library. 3 indexed citations

10.

Shajan, G, Jens Hoffmann, Dávid Z. Balla, et al.. (2012). Rat brain MRI at 16.4T using a capacitively tunable patch antenna in combination with a receive array. NMR in Biomedicine. 25(10). 1170–1176. 13 indexed citations

11.

Pohmann, R, G Shajan, & Dávid Z. Balla. (2011). Contrast at high field: Relaxation times, magnetization transfer and phase in the rat brain at 16.4 T. Magnetic Resonance in Medicine. 66(6). 1572–1581. 29 indexed citations

12.

Balla, Dávid Z., et al.. (2011). Determination of regional variations and reproducibility in in vivo ¹H NMR spectroscopy of the rat brain at 16.4 T. Magnetic Resonance in Medicine. 66(1). 11–17. 10 indexed citations

13.

Balla, Dávid Z., et al.. (2011). Rat strain‐dependent variations in brain metabolites detected by in vivo¹H NMR spectroscopy at 16.4T. NMR in Biomedicine. 24(10). 1401–1407. 5 indexed citations

14.

Balla, Dávid Z., et al.. (2010). Enhanced neurochemical profile of the rat brain using in vivo ¹H NMR spectroscopy at 16.4 T. Magnetic Resonance in Medicine. 65(1). 28–34. 19 indexed citations

15.

Balla, Dávid Z. & Cornelius Faber. (2008). Localized intermolecular zero‐quantum coherence spectroscopy in vivo. Concepts in Magnetic Resonance Part A. 32A(2). 117–133. 18 indexed citations

16.

Balla, Dávid Z. & Cornelius Faber. (2008). Intermolecular zero-quantum coherence NMR spectroscopy in the presence of local dipole fields. The Journal of Chemical Physics. 128(15). 154522–154522. 12 indexed citations

17.

Balla, Dávid Z. & Cornelius Faber. (2007). In vivo intermolecular zero-quantum coherence MR spectroscopy in the rat spinal cord at 17.6 T: a feasibility study. Magnetic Resonance Materials in Physics Biology and Medicine. 20(4). 183–191. 19 indexed citations

18.

Faber, Cornelius, et al.. (2006). Sensitivity to local dipole fields in the CRAZED experiment: An approach to bright spot MRI. Journal of Magnetic Resonance. 182(2). 315–324. 29 indexed citations

19.

Balla, Dávid Z., Gerd Melkus, & Cornelius Faber. (2006). Spatially localized intermolecular zero‐quantum coherence spectroscopy for in vivo applications. Magnetic Resonance in Medicine. 56(4). 745–753. 30 indexed citations

20.

Balla, Dávid Z. & Cornelius Faber. (2004). Solvent suppression in liquid state NMR with selective intermolecular zero-quantum coherences. Chemical Physics Letters. 393(4-6). 464–469. 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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