Kasey M. Johnson

16 total papers · 752 total citations
10 papers, 522 citations indexed

About

Kasey M. Johnson is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kasey M. Johnson has authored 10 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kasey M. Johnson's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Protease and Inhibitor Mechanisms (2 papers) and Immune cells in cancer (2 papers). Kasey M. Johnson is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Protease and Inhibitor Mechanisms (2 papers) and Immune cells in cancer (2 papers). Kasey M. Johnson collaborates with scholars based in United States. Kasey M. Johnson's co-authors include Stephen J. Crocker, Dorothy P. Schafer, Philip A. Feinberg, Sebastian Werneburg, Alexandra M. Nicaise, Richard Milner, Paige Winokur, Georgia Gunner, Erica Mondo and Lucas Cheadle and has published in prestigious journals such as Nature Neuroscience, Current Opinion in Neurobiology and Experimental Neurology.

In The Last Decade

Kasey M. Johnson

10 papers receiving 515 citations

Author Peers

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

Author						Papers	Cites
Kasey M. Johnson	310	149	144	127	120	10	522
Niklas Meyer	409 1.3×	159 1.1×	147 1.0×	143 1.1×	128 1.1×	7	607
Rachel D. Kim	364 1.2×	93 0.6×	205 1.4×	129 1.0×	78 0.7×	8	552
Philipp Jordan	364 1.2×	126 0.8×	99 0.7×	145 1.1×	95 0.8×	5	508
Megumi Andoh	276 0.9×	162 1.1×	108 0.8×	84 0.7×	83 0.7×	15	474
Joselyn S. Soto	266 0.9×	202 1.4×	147 1.0×	48 0.4×	112 0.9×	9	497
Przemyslaw Swiatkowski	343 1.1×	204 1.4×	113 0.8×	111 0.9×	63 0.5×	9	562
Vassilis Stratoulias	339 1.1×	106 0.7×	153 1.1×	180 1.4×	61 0.5×	14	563
Alexandria Hughes	210 0.7×	141 0.9×	168 1.2×	97 0.8×	150 1.3×	11	590
Megan Torvell	239 0.8×	146 1.0×	161 1.1×	118 0.9×	69 0.6×	12	529
Dilansu Güneykaya	376 1.2×	104 0.7×	124 0.9×	180 1.4×	54 0.5×	9	585

Countries citing papers authored by Kasey M. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Kasey M. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kasey M. Johnson. 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 Kasey M. Johnson. The network helps show where Kasey M. Johnson may publish in the future.

Co-authorship network of co-authors of Kasey M. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Kasey M. Johnson. A scholar is included among the top collaborators of Kasey M. Johnson 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 Kasey M. Johnson. Kasey M. Johnson 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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