Nicole Eichert

1.0k total citations
21 papers, 472 citations indexed

About

Nicole Eichert is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nicole Eichert has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nicole Eichert's work include Advanced Neuroimaging Techniques and Applications (12 papers), Neural dynamics and brain function (7 papers) and Functional Brain Connectivity Studies (7 papers). Nicole Eichert is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Neural dynamics and brain function (7 papers) and Functional Brain Connectivity Studies (7 papers). Nicole Eichert collaborates with scholars based in United Kingdom, Netherlands and Canada. Nicole Eichert's co-authors include Rogier B. Mars, Saâd Jbabdi, Kate E. Watkins, Katherine Bryant, Lennart Verhagen, Longchuan Li, Jérôme Sallet, Davide Folloni, Michael Petrides and Alexandre A. Khrapitchev and has published in prestigious journals such as Nature Communications, Diabetes and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Nicole Eichert

21 papers receiving 470 citations

Peers

Nicole Eichert

RNMI

DEP

ECP

Patrick Friedrich Germany

Jeffrey Singerman United States

Lars Hömke Germany

Christoph Fraenz Germany

Christopher Benjamin United States

Debra L. Kigar Canada

Torsten Ruest United Kingdom

Pascal Despretz France

Colin Reveley United Kingdom

Fahimeh Darki Sweden

Patrick Friedrich Germany

Nicole Eichert

532 ×1.6

283 ×1.6

RNMI

68 ×0.8

62 ×1.1

DEP

91 ×1.8

ECP

Citations per year, relative to Nicole Eichert Nicole Eichert (= 1×) peers Patrick Friedrich

Countries citing papers authored by Nicole Eichert

Since Specialization

Citations

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

Fields of papers citing papers by Nicole Eichert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Eichert

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

Cottaar, Michiel, Nicole Eichert, Taylor Hanayik, et al.. (2025). Imaging the structural connectome with hybrid MRI-microscopy tractography. Medical Image Analysis. 102. 103498–103498. 3 indexed citations

Wang, Yezhou, Nicole Eichert, Casey Paquola, et al.. (2025). Multimodal gradients unify local and global cortical organization. Nature Communications. 16(1). 3911–3911. 2 indexed citations

Leppert, Ilana R., Jordan DeKraker, Jessica Royer, et al.. (2025). Multimodal precision MRI of the individual human brain at ultra-high fields. Scientific Data. 12(1). 526–526. 3 indexed citations

Diamond, Charlie, Nicole Eichert, Prashant Pandya, et al.. (2024). Quantitative Imaging Reveals Steatosis and Fibroinflammation in Multiple Organs in People With Type 2 Diabetes: A Real-World Study. Diabetes. 73(8). 1285–1299. 6 indexed citations

Eichert, Nicole, Jordan DeKraker, Amy Howard, et al.. (2024). Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain. Nature Communications. 15(1). 5963–5963. 6 indexed citations

Lazari, Alberto, Piergiorgio Salvan, Michiel Cottaar, et al.. (2021). Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex. 145. 187–200. 8 indexed citations

Eichert, Nicole, et al.. (2021). Broca’s area and the search for anatomical asymmetry: commentary and perspectives. Brain Structure and Function. 227(2). 441–449. 12 indexed citations

Roumazeilles, Léa, Nicole Eichert, Matthias Schurz, et al.. (2021). Does the temporal cortex make us human? A review of structural and functional diversity of the primate temporal lobe. Neuroscience & Biobehavioral Reviews. 131. 400–410. 27 indexed citations

Belyk, Michel, Nicole Eichert, & Carolyn McGettigan. (2021). A dual larynx motor networks hypothesis. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1840). 20200392–20200392. 10 indexed citations

10.

Wael, Reinder Vos de, Jessica Royer, Shahin Tavakol, et al.. (2021). Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution. Cerebral Cortex. 31(11). 5151–5164. 26 indexed citations

11.

Roumazeilles, Léa, Nicole Eichert, Katherine Bryant, et al.. (2020). Longitudinal connections and the organization of the temporal cortex in macaques, great apes, and humans. PLoS Biology. 18(7). e3000810–e3000810. 48 indexed citations

12.

Eichert, Nicole, Emma C. Robinson, Katherine Bryant, et al.. (2020). Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe. eLife. 9. 63 indexed citations

13.

Eichert, Nicole, Daniel S. Papp, Rogier B. Mars, & Kate E. Watkins. (2020). Mapping Human Laryngeal Motor Cortex during Vocalization. Cerebral Cortex. 30(12). 6254–6269. 36 indexed citations

14.

Eichert, Nicole, Kate E. Watkins, Rogier B. Mars, & Michael Petrides. (2020). Morphological and functional variability in central and subcentral motor cortex of the human brain. Brain Structure and Function. 226(1). 263–279. 36 indexed citations

15.

Bryant, Katherine, Longchuan Li, Nicole Eichert, & Rogier B. Mars. (2020). A comprehensive atlas of white matter tracts in the chimpanzee. PLoS Biology. 18(12). e3000971–e3000971. 34 indexed citations

16.

Eichert, Nicole, Emma C. Robinson, Katherine Bryant, et al.. (2019). Cross-species cortical alignment identifies different types of neuroanatomical reorganization in higher primates. Annual Review of Biophysics. 1 indexed citations

17.

Eichert, Nicole, Lennart Verhagen, Davide Folloni, et al.. (2018). What is special about the human arcuate fasciculus? Lateralization, projections, and expansion. Cortex. 118. 107–115. 83 indexed citations

18.

Eichert, Nicole, David Peeters, & Peter Hagoort. (2017). Language-driven anticipatory eye movements in virtual reality. Behavior Research Methods. 50(3). 1102–1115. 17 indexed citations

19.

Mars, Rogier B., Nicole Eichert, Saâd Jbabdi, Lennart Verhagen, & Matthew F. S. Rushworth. (2017). Connectivity and the search for specializations in the language-capable brain. Current Opinion in Behavioral Sciences. 21. 19–26. 27 indexed citations

20.

Möhrle, Dorit, Evanthia Mergia, Nicole Eichert, et al.. (2017). NO-Sensitive Guanylate Cyclase Isoforms NO-GC1 and NO-GC2 Contribute to Noise-Induced Inner Hair Cell Synaptopathy. Molecular Pharmacology. 92(4). 375–388. 23 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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