M.‐F. Kuo

1.3k total citations · 1 hit paper
5 papers, 976 citations indexed

About

M.‐F. Kuo is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, M.‐F. Kuo has authored 5 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in M.‐F. Kuo's work include Transcranial Magnetic Stimulation Studies (5 papers), Neuroscience and Neural Engineering (2 papers) and Neurological disorders and treatments (1 paper). M.‐F. Kuo is often cited by papers focused on Transcranial Magnetic Stimulation Studies (5 papers), Neuroscience and Neural Engineering (2 papers) and Neurological disorders and treatments (1 paper). M.‐F. Kuo collaborates with scholars based in Germany. M.‐F. Kuo's co-authors include Walter Paulus, Michael A. Nitsche, Vera Moliadze, Giorgi Batsikadze, Michael Nitsche, David Liebetanz and Kátia Monte‐Silva and has published in prestigious journals such as The Journal of Physiology, Cerebral Cortex and Clinical Neurophysiology.

In The Last Decade

M.‐F. Kuo

5 papers receiving 968 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.

Partially non‐linear stimulation intensity‐dependent effects of direct current stimulation on motor cortex excitability in humans

2013 776 citations Giorgi Batsikadze, Vera Moliadze et al. The Journal of Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.‐F. Kuo Germany	3	883	572	180	138	119	5	976
Hsiao-I Kuo Germany	9	930 1.1×	627 1.1×	202 1.1×	143 1.0×	115 1.0×	17	1.1k
Shane Fresnoza Austria	10	847 1.0×	514 0.9×	156 0.9×	145 1.1×	117 1.0×	22	946
Meenakshi B. Iyer United States	5	713 0.8×	538 0.9×	166 0.9×	109 0.8×	85 0.7×	7	880
Asif Jamil Germany	17	1.0k 1.2×	705 1.2×	245 1.4×	197 1.4×	111 0.9×	35	1.3k
Mohsen Mosayebi-Samani Germany	16	838 0.9×	551 1.0×	214 1.2×	185 1.3×	175 1.5×	26	1.1k
Sara Tremblay Canada	17	765 0.9×	685 1.2×	137 0.8×	106 0.8×	128 1.1×	30	1.1k
A. Hasan Germany	11	669 0.8×	519 0.9×	167 0.9×	114 0.8×	102 0.9×	37	945
Timothy Wagner United States	6	654 0.7×	500 0.9×	245 1.4×	199 1.4×	82 0.7×	7	989
Virginia López-Alonso Spain	13	946 1.1×	671 1.2×	301 1.7×	136 1.0×	131 1.1×	18	1.2k
Alexandra Lackmy‐Vallée France	11	573 0.6×	300 0.5×	156 0.9×	129 0.9×	88 0.7×	22	809

Countries citing papers authored by M.‐F. Kuo

Since Specialization

Citations

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

Fields of papers citing papers by M.‐F. Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.‐F. Kuo

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Batsikadze, Giorgi, Vera Moliadze, Walter Paulus, M.‐F. Kuo, & Michael A. Nitsche. (2013). Partially non‐linear stimulation intensity‐dependent effects of direct current stimulation on motor cortex excitability in humans. The Journal of Physiology. 591(7). 1987–2000. 776 indexed citations breakdown →

2.

Monte‐Silva, Kátia, et al.. (2011). P20.13 Induction of l-LTP-like plasticity in the human motor cortex by repeated non-invasive brain stimulation. Clinical Neurophysiology. 122. S149–S149. 4 indexed citations

3.

Batsikadze, Giorgi, M.‐F. Kuo, Vera Moliadze, Walter Paulus, & Michael A. Nitsche. (2011). P19.18 Intracortical and corticospinal effect of 2 mA direct current stimulation. Clinical Neurophysiology. 122. S145–S145. 1 indexed citations

4.

Kuo, M.‐F., Walter Paulus, & Michael A. Nitsche. (2007). Boosting Focally-Induced Brain Plasticity by Dopamine. Cerebral Cortex. 18(3). 648–651. 194 indexed citations

5.

Kuo, M.‐F., Michael A. Nitsche, & Walter Paulus. (2006). Gender differences of cortical neuroplasticity in humans, as revealed by transcranial direct current stimulation. Klinische Neurophysiologie. 37(1). 1 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.

Explore authors with similar magnitude of impact