Nina E. Fultz

1.5k total citations · 1 hit paper
9 papers, 884 citations indexed

About

Nina E. Fultz is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nina E. Fultz has authored 9 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nina E. Fultz's work include Sleep and Wakefulness Research (4 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (3 papers). Nina E. Fultz is often cited by papers focused on Sleep and Wakefulness Research (4 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (3 papers). Nina E. Fultz collaborates with scholars based in United States, Austria and Denmark. Nina E. Fultz's co-authors include Laura D. Lewis, Jon̈athan R. Polimeni, Bruce R. Rosen, Giorgio Bonmassar, Kawin Setsompop, Robert Stickgold, Ned A. Ohringer, Jingyuan E. Chen, Qiyuan Tian and Catie Chang and has published in prestigious journals such as Science, Nature Communications and NeuroImage.

In The Last Decade

Nina E. Fultz

9 papers receiving 872 citations

Hit Papers

Coupled electrophysiological, hemodynamic, and cerebrospi... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina E. Fultz United States 6 425 366 205 180 174 9 884
Elsa Lindgren United States 5 342 0.8× 287 0.8× 84 0.4× 130 0.7× 182 1.0× 7 778
Michael Rullmann Germany 16 409 1.0× 147 0.4× 291 1.4× 99 0.6× 85 0.5× 78 1.1k
H. Feistel Germany 18 533 1.3× 235 0.6× 293 1.4× 150 0.8× 65 0.4× 35 1.1k
Camellia P. Clark United States 14 530 1.2× 104 0.3× 232 1.1× 49 0.3× 193 1.1× 20 1.1k
Khoa Nguyen United States 6 496 1.2× 164 0.4× 210 1.0× 69 0.4× 23 0.1× 7 988
Fulvia Palesi Italy 16 376 0.9× 111 0.3× 357 1.7× 123 0.7× 38 0.2× 37 900
Gaspard Montandon Canada 19 265 0.6× 186 0.5× 67 0.3× 38 0.2× 610 3.5× 41 985
Peter Lund Madsen Denmark 15 357 0.8× 260 0.7× 296 1.4× 175 1.0× 111 0.6× 16 1.0k
Shailendra Segobin France 16 434 1.0× 167 0.5× 140 0.7× 236 1.3× 28 0.2× 55 822
Girolamo Garreffa Italy 17 505 1.2× 168 0.5× 278 1.4× 47 0.3× 147 0.8× 36 882

Countries citing papers authored by Nina E. Fultz

Since Specialization
Citations

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

Fields of papers citing papers by Nina E. Fultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina E. Fultz. 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 Nina E. Fultz. The network helps show where Nina E. Fultz may publish in the future.

Co-authorship network of co-authors of Nina E. Fultz

This figure shows the co-authorship network connecting the top 25 collaborators of Nina E. Fultz. A scholar is included among the top collaborators of Nina E. Fultz 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 Nina E. Fultz. Nina E. Fultz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Fultz, Nina E., Stephanie D. Williams, Daniel Gómez, et al.. (2024). High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets. Journal of Neural Engineering. 21(6). 66004–66004. 1 indexed citations
2.
Williams, Stephanie D., et al.. (2023). Neural activity induced by sensory stimulation can drive large-scale cerebrospinal fluid flow during wakefulness in humans. PLoS Biology. 21(3). e3002035–e3002035. 32 indexed citations
3.
Fultz, Nina E., Stephanie Williams, Daniel Gómez, et al.. (2023). Improving multimodal imaging with an MR-compatible EEG net: the R-Net-MR-IT. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
4.
Fultz, Nina E., Daniel E. P. Gomez, Stephanie D. Williams, et al.. (2022). A temporal sequence of thalamic activity unfolds at transitions in behavioral arousal state. Nature Communications. 13(1). 5442–5442. 33 indexed citations
5.
Chen, Jingyuan E., Gary H. Glover, Nina E. Fultz, et al.. (2021). Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics. NeuroImage. 245. 118658–118658. 13 indexed citations
6.
Fultz, Nina E., Giorgio Bonmassar, Kawin Setsompop, et al.. (2021). Coupled Neural, Vascular, and Cerebrospinal Fluid Dynamics in Human Sleep. Biological Psychiatry. 89(9). S31–S31. 2 indexed citations
7.
Chen, Jingyuan E., Laura D. Lewis, Catie Chang, et al.. (2020). Resting-state “physiological networks”. NeuroImage. 213. 116707–116707. 96 indexed citations
8.
Tian, Qiyuan, Berkin Bilgic̦, Qiuyun Fan, et al.. (2020). Improving in vivo human cerebral cortical surface reconstruction using data-driven super-resolution. Cerebral Cortex. 31(1). 463–482. 23 indexed citations
9.
Fultz, Nina E., Giorgio Bonmassar, Kawin Setsompop, et al.. (2019). Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep. Science. 366(6465). 628–631. 683 indexed citations breakdown →

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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