Kathia M. Johnson

49 total papers · 1.9k total citations
34 papers, 1.5k citations indexed

About

Kathia M. Johnson is a scholar working on Physiology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kathia M. Johnson has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 15 papers in Pathology and Forensic Medicine and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kathia M. Johnson's work include Spinal Cord Injury Research (14 papers), Pain Mechanisms and Treatments (11 papers) and Nerve injury and regeneration (7 papers). Kathia M. Johnson is often cited by papers focused on Spinal Cord Injury Research (14 papers), Pain Mechanisms and Treatments (11 papers) and Nerve injury and regeneration (7 papers). Kathia M. Johnson collaborates with scholars based in United States, Canada and United Kingdom. Kathia M. Johnson's co-authors include Claire E. Hulsebosch, David J. McAdoo, Zaiming Ye, Eric D. Crown, Charles D. Mills, Young Seob Gwak, Geda Unabia, Bryan C. Hains, J. Regino Perez‐Polo and Olivera Nešić and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kathia M. Johnson

32 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Kathia M. Johnson 677 580 547 390 252 34 1.5k
Andrew M. Tan 690 1.0× 625 1.1× 321 0.6× 358 0.9× 211 0.8× 44 1.5k
Megan Ryan Detloff 461 0.7× 352 0.6× 583 1.1× 289 0.7× 266 1.1× 25 1.3k
Olivera Nešić 406 0.6× 383 0.7× 562 1.0× 423 1.1× 128 0.5× 30 1.4k
Geda Unabia 492 0.7× 387 0.7× 382 0.7× 591 1.5× 199 0.8× 43 2.2k
Jee Y. Lee 307 0.5× 413 0.7× 583 1.1× 377 1.0× 217 0.9× 23 1.6k
Chiho Kudo 508 0.8× 255 0.4× 364 0.7× 504 1.3× 164 0.7× 48 2.0k
Sandra M. Garraway 648 1.0× 657 1.1× 452 0.8× 309 0.8× 98 0.4× 41 1.3k
Meirion Davies 343 0.5× 486 0.8× 428 0.8× 441 1.1× 271 1.1× 19 1.5k
Irawan Satriotomo 294 0.4× 350 0.6× 484 0.9× 481 1.2× 281 1.1× 58 2.1k
Wenlong Huang 504 0.7× 357 0.6× 328 0.6× 344 0.9× 160 0.6× 32 1.3k

Countries citing papers authored by Kathia M. Johnson

Since Specialization
Citations

This map shows the geographic impact of Kathia 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 Kathia 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 Kathia M. Johnson more than expected).

Fields of papers citing papers by Kathia M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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