Clara A. Scholl

23 total papers · 580 total citations
11 papers, 469 citations indexed

About

Clara A. Scholl is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Clara A. Scholl has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Clara A. Scholl's work include Advanced MRI Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers) and Visual perception and processing mechanisms (3 papers). Clara A. Scholl is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers) and Visual perception and processing mechanisms (3 papers). Clara A. Scholl collaborates with scholars based in United States, Switzerland and Germany. Clara A. Scholl's co-authors include Hanbing Lu, Yantao Zuo, Yihong Yang, Elliot A. Stein, William Rea, Hong Gu, Zhan Wang, James A. Waltz, Maximilian Riesenhuber and Xiong Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Clara A. Scholl

11 papers receiving 466 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clara A. Scholl 391 226 72 25 24 11 469
Nicola Hewson-Stoate 315 0.8× 178 0.8× 91 1.3× 18 0.7× 63 2.6× 8 414
Andrew Morgan 303 0.8× 113 0.5× 131 1.8× 13 0.5× 45 1.9× 20 502
Thomas Kaulisch 250 0.6× 97 0.4× 41 0.6× 19 0.8× 63 2.6× 16 443
Elizabeth Bock 381 1.0× 63 0.3× 44 0.6× 10 0.4× 25 1.0× 11 444
Karen Mason 309 0.8× 79 0.3× 44 0.6× 8 0.3× 29 1.2× 24 426
Woorim Jeong 344 0.9× 54 0.2× 85 1.2× 24 1.0× 17 0.7× 21 416
Debra Singel 267 0.7× 171 0.8× 113 1.6× 16 0.6× 9 0.4× 7 503
Miguel Sancho 318 0.8× 67 0.3× 48 0.7× 15 0.6× 19 0.8× 18 514
P. Hagmann 459 1.2× 191 0.8× 58 0.8× 10 0.4× 36 1.5× 8 500
Ana Coito 477 1.2× 76 0.3× 69 1.0× 13 0.5× 21 0.9× 19 544

Countries citing papers authored by Clara A. Scholl

Since Specialization
Citations

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

Fields of papers citing papers by Clara A. Scholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara A. Scholl. 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 Clara A. Scholl. The network helps show where Clara A. Scholl may publish in the future.

Co-authorship network of co-authors of Clara A. Scholl

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

All Works

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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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2026