Eric C. Klawiter

6.1k total citations
78 papers, 2.3k citations indexed

About

Eric C. Klawiter is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Eric C. Klawiter has authored 78 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pathology and Forensic Medicine, 34 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Neurology. Recurrent topics in Eric C. Klawiter's work include Multiple Sclerosis Research Studies (56 papers), Advanced Neuroimaging Techniques and Applications (32 papers) and Bone and Joint Diseases (14 papers). Eric C. Klawiter is often cited by papers focused on Multiple Sclerosis Research Studies (56 papers), Advanced Neuroimaging Techniques and Applications (32 papers) and Bone and Joint Diseases (14 papers). Eric C. Klawiter collaborates with scholars based in United States, Canada and Netherlands. Eric C. Klawiter's co-authors include Anne H. Cross, Robert T. Naismith, Kathryn Trinkaus, Junqian Xu, Sheng‐Kwei Song, Tammie L.S. Benzinger, Nhial T. Tutlam, Thomas Witzel, Enrique Álvarez and Susie Y. Huang and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Eric C. Klawiter

72 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric C. Klawiter United States 27 1.3k 952 544 293 238 78 2.3k
Carsten Lukas Germany 27 1.2k 0.9× 426 0.4× 746 1.4× 278 0.9× 168 0.7× 111 2.4k
Robert Bermel United States 30 1.9k 1.5× 508 0.5× 617 1.1× 519 1.8× 263 1.1× 84 2.7k
Deepa P. Ramasamy United States 34 2.1k 1.6× 622 0.7× 938 1.7× 562 1.9× 353 1.5× 107 3.0k
Sara Llufriú Spain 24 1.3k 1.0× 406 0.4× 610 1.1× 336 1.1× 211 0.9× 86 2.0k
Bertrand Audoin France 35 2.5k 1.9× 836 0.9× 1.2k 2.1× 588 2.0× 372 1.6× 96 3.4k
Marios Yiannakas United Kingdom 20 829 0.6× 582 0.6× 343 0.6× 206 0.7× 112 0.5× 54 1.4k
Tobias Granberg Sweden 26 750 0.6× 648 0.7× 839 1.5× 161 0.5× 345 1.4× 84 2.2k
Irina Malikova France 27 1.7k 1.3× 574 0.6× 602 1.1× 371 1.3× 267 1.1× 42 2.3k
Paola Perini Italy 22 1.8k 1.4× 423 0.4× 769 1.4× 532 1.8× 288 1.2× 68 2.4k
CH Polman Netherlands 24 2.2k 1.7× 503 0.5× 853 1.6× 620 2.1× 206 0.9× 50 3.0k

Countries citing papers authored by Eric C. Klawiter

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Klawiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. Klawiter. 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 Eric C. Klawiter. The network helps show where Eric C. Klawiter may publish in the future.

Co-authorship network of co-authors of Eric C. Klawiter

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

All Works

20 of 20 papers shown
1.
Conti, Allegra, Constantina A. Treaba, Valeria Barletta, et al.. (2025). Choroid Plexus Enlargement in Multiple Sclerosis Correlates with Cortical and Phase Rim Lesions on 7T MRI and Predicts Progression Independent of Relapse Activity. American Journal of Neuroradiology. 47(2). 557–565.
2.
Ramos‐Torres, Karla M., Yang Sun, Fang Liu, et al.. (2025). First evaluation in multiple sclerosis using PET tracer [18F]3F4AP demonstrates heterogeneous binding across lesions. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 1125–1138.
3.
Manzano, Giovanna S., Michaël Levy, Farrah J. Mateen, et al.. (2024). Assessment of international MOGAD diagnostic criteria in patients with overlapping MOG-associated disease and multiple sclerosis phenotypes. Journal of Neurology. 271(9). 6160–6171. 5 indexed citations
4.
Herranz, Elena, Constantina A. Treaba, Valeria Barletta, et al.. (2024). Characterization of cortico-meningeal translocator protein expression in multiple sclerosis. Brain. 147(7). 2566–2578. 10 indexed citations
5.
Schoonheim, Menno M., et al.. (2023). Detection of grey matter microstructural substrates of neurodegeneration in multiple sclerosis. Brain Communications. 5(3). fcad153–fcad153. 7 indexed citations
6.
Wong, Ka‐Ho, Gregory S. Day, Maarten J. Titulaer, et al.. (2022). The ExTINGUISH Trial: A Phase-2B Randomized Placebo-Controlled Trial of Inebilizumab in Anti-NMDA Receptor Encephalitis. Neurology. 99(23_Supplement_2). 1 indexed citations
7.
Manzano, Giovanna S., Farrah J. Mateen, Eric C. Klawiter, et al.. (2022). Positive Predictive Value of MOG-IgG for Clinically Defined MOG-AD Within a Real-World Cohort. Frontiers in Neurology. 13. 947630–947630. 20 indexed citations
9.
Treaba, Constantina A., Allegra Conti, Eric C. Klawiter, et al.. (2021). Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression. Brain Communications. 3(3). fcab134–fcab134. 38 indexed citations
10.
Rice, Dylan R., Tamara Kaplan, Andre C. Vogel, et al.. (2021). Electronic pill bottles to monitor and promote medication adherence for people with multiple sclerosis: A randomized, virtual clinical trial. Journal of the Neurological Sciences. 428. 117612–117612. 9 indexed citations
11.
Treaba, Constantina A., Valeria Barletta, Elena Herranz, et al.. (2020). Characterization of thalamic lesions and their correlates in multiple sclerosis by ultra-high-field MRI. Multiple Sclerosis Journal. 27(5). 674–683. 18 indexed citations
12.
Ouellette, Russell, Constantina A. Treaba, Tobias Granberg, et al.. (2020). 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain. 143(10). 2973–2987. 25 indexed citations
13.
Yu, Fang, Qiuyun Fan, Qiyuan Tian, et al.. (2019). Imaging G-Ratio in Multiple Sclerosis Using High-Gradient Diffusion MRI and Macromolecular Tissue Volume. American Journal of Neuroradiology. 40(11). 1871–1877. 26 indexed citations
14.
Fox, Robert J., Matthew Karafa, Christian Barro, et al.. (2019). Effect of Ibudilast on Neurofilament-light Chain in Progressive MS: Analysis from a Phase II Trial (P3.2-033). Neurology. 92(15_supplement). 4 indexed citations
15.
Patel, Kevin, et al.. (2018). Structural disconnection is responsible for increased functional connectivity in multiple sclerosis. Brain Structure and Function. 223(5). 2519–2526. 14 indexed citations
17.
Duval, Tanguy, Simon Lévy, Nikola Stikov, et al.. (2016). g-Ratio weighted imaging of the human spinal cord in vivo. NeuroImage. 145(Pt A). 11–23. 62 indexed citations
18.
Fox, Robert J., Christopher S. Coffey, Merit Cudkowicz, et al.. (2015). NN 102/SPRINT-MS Phase II Trial of Ibudilast in Progressive MS: Baseline Characteristics (P7.214). Neurology. 84(14_supplement). 1 indexed citations
19.
Duval, Tanguy, Jennifer A. McNab, Kawin Setsompop, et al.. (2015). In vivo mapping of human spinal cord microstructure at 300 mT/m. NeuroImage. 118. 494–507. 56 indexed citations
20.
Klawiter, Eric C., Laura Piccio, Jeri‐Anne Lyons, et al.. (2010). Elevated Intrathecal Myelin Oligodendrocyte Glycoprotein Antibodies in Multiple Sclerosis. Archives of Neurology. 67(9). 1102–8. 26 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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