M. Herbst

5.5k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

M. Herbst is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, M. Herbst has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in M. Herbst's work include Advanced MRI Techniques and Applications (22 papers), MRI in cancer diagnosis (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). M. Herbst is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), MRI in cancer diagnosis (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). M. Herbst collaborates with scholars based in Germany, United States and Switzerland. M. Herbst's co-authors include Maxim Zaitsev, Julian Maclaren, Oliver Speck, Robert M. Bell, Joan L. Buchanan, Daniel Lee, Raynard Kington, Lisa V. Rubenstein, Debra Saliba and Denise K C Sur and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of the American Geriatrics Society.

In The Last Decade

M. Herbst

30 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Motion artifacts in MRI: A complex problem with many partial solutions

2015 452 citations Maxim Zaitsev, Julian Maclaren et al. profile →

Peers

M. Herbst

RNMI

CN

GHP

AMPO

BE

Enrico De Vita United Kingdom

Wesley B. Baker United States

Dustin Osborne United States

Hakmook Kang United States

Seon Young Ryu South Korea

Duy Nguyen United States

Alexander Rauscher Canada

Wenli Wang United States

Janne West Sweden

Chuanming Li China

Enrico De Vita United Kingdom

M. Herbst

1.1k ×1.0

RNMI

330 ×0.9

CN

41 ×0.2

GHP

75 ×0.4

AMPO

74 ×0.5

BE

Citations per year, relative to M. Herbst M. Herbst (= 1×) peers Enrico De Vita

Countries citing papers authored by M. Herbst

Since Specialization

Citations

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

Fields of papers citing papers by M. Herbst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Herbst

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

1.

Köksal, Hakan, et al.. (2025). Pre-existing intratumoral stem-like CD8+ T cells drive radiotherapy-induced tumor immunity. Cell Reports. 44(4). 115566–115566.

2.

Pereira, Paulo, M. Herbst, A. Calvanese, et al.. (2025). Inflammatory cytokines mediate the induction of and awakening from metastatic dormancy. Cell Reports. 44(3). 115388–115388. 4 indexed citations

3.

Cecconi, Virginia, Paulo Pereira, Hakan Köksal, et al.. (2025). Hepatic iNKT cells facilitate colorectal cancer metastasis by inducing a fibrotic niche in the liver. iScience. 28(5). 112364–112364.

4.

Herbst, M.. (2021). Autocalibrating segmented diffusion‐weighted acquisitions. Magnetic Resonance in Medicine. 86(4). 1997–2010. 2 indexed citations

5.

Herbst, M., et al.. (2017). Improving temporal resolution in fMRI using a 3D spiral acquisition and low rank plus sparse (L+S) reconstruction. NeuroImage. 157. 660–674. 11 indexed citations

6.

Jacobs, Julia, M. Herbst, Maxim Zaitsev, et al.. (2016). Marker-based ballistocardiographic artifact correction improves spike identification in EEG-fMRI of focal epilepsy patients. Clinical Neurophysiology. 127(8). 2802–2811. 6 indexed citations

7.

Herbst, M., Benedikt A. Poser, Wanyu Deng, et al.. (2016). Motion correction for diffusion weighted SMS imaging. Magnetic Resonance Imaging. 38. 33–38. 7 indexed citations

8.

Pannetier, Nicolas, Peter Ng, M. Herbst, et al.. (2015). Quantitative framework for prospective motion correction evaluation. Magnetic Resonance in Medicine. 75(2). 810–816. 12 indexed citations

9.

Callaghan, Martina F., Oliver Josephs, M. Herbst, et al.. (2015). An evaluation of prospective motion correction (PMC) for high resolution quantitative MRI. Frontiers in Neuroscience. 9. 97–97. 77 indexed citations

10.

Zahneisen, Benjamin, et al.. (2015). Reverse retrospective motion correction. Magnetic Resonance in Medicine. 75(6). 2341–2349. 12 indexed citations

11.

Schulz, Jessica, Thomas Siegert, Pierre‐Louis Bazin, et al.. (2013). Prospective slice-by-slice motion correction reduces false positive activations in fMRI with task-correlated motion. NeuroImage. 84. 124–132. 27 indexed citations

12.

LeVan, Pierre, et al.. (2013). Ballistocardiographic artifact removal from simultaneous EEG-fMRI using an optical motion-tracking system. NeuroImage. 75. 1–11. 48 indexed citations

13.

Maclaren, Julian, M. Herbst, Oliver Speck, & Maxim Zaitsev. (2012). Prospective motion correction in brain imaging: A review. Magnetic Resonance in Medicine. 69(3). 621–636. 293 indexed citations

14.

Schulz, Jessica, Thomas Siegert, Enrico Reimer, et al.. (2012). An embedded optical tracking system for motion-corrected magnetic resonance imaging at 7T. Magnetic Resonance Materials in Physics Biology and Medicine. 25(6). 443–453. 77 indexed citations

15.

Maclaren, Julian, Brian Armstrong, K. Appu Danishad, et al.. (2012). Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain. PLoS ONE. 7(11). e48088–e48088. 173 indexed citations

16.

Herbst, M., Julian Maclaren, Matthias Weigel, et al.. (2011). Prospective motion correction with continuous gradient updates in diffusion weighted imaging. Magnetic Resonance in Medicine. 67(2). 326–338. 52 indexed citations

17.

Herbst, M., et al.. (2010). Developing a dignity instrument to measure the outcomes of palliative home-based care. Africa Journal of Nursing and Midwifery. 12(2). 83–95. 3 indexed citations

18.

Herbst, M.. (2010). Search for squark production in R-parity violating supersymmetry at HERA. 194–194. 1 indexed citations

19.

Saliba, Debra, Raynard Kington, Joan L. Buchanan, et al.. (2000). Appropriateness of the Decision to Transfer Nursing Facility Residents to the Hospital. Journal of the American Geriatrics Society. 48(2). 154–163. 281 indexed citations

20.

Heil, Martin, Karina Wahl, & M. Herbst. (1999). Mental rotation, memory scanning, and the central bottleneck. Psychological Research. 62(1). 48–61. 22 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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