Kimberly Young

20 total papers · 1.4k total citations
12 papers, 979 citations indexed

About

Kimberly Young is a scholar working on Molecular Biology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kimberly Young has authored 12 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kimberly Young's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Kimberly Young is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Kimberly Young collaborates with scholars based in United States, Canada and United Kingdom. Kimberly Young's co-authors include Helena W. Morrison, Jonathan Lifshitz, Rachel K. Rowe, Gurmit Singh, Michael E. Hasselmo, Holger Dannenberg, Michael Lynch, Mitchell J. Bartlett, Matthew S. Ackerman and Thomas G. Doak and has published in prestigious journals such as The Journal of Cell Biology, Scientific Reports and Genetics.

In The Last Decade

Kimberly Young

12 papers receiving 974 citations

Hit Papers

Quantifying Microglia Mor... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Kimberly Young 507 247 189 163 157 12 979
Diana Fernández‐Suárez 387 0.8× 181 0.7× 246 1.3× 111 0.7× 172 1.1× 14 831
Koichiro Haruwaka 694 1.4× 162 0.7× 175 0.9× 125 0.8× 229 1.5× 9 976
Dirk Luchtman 261 0.5× 204 0.8× 186 1.0× 184 1.1× 156 1.0× 19 997
Daniela Elgueta 465 0.9× 196 0.8× 219 1.2× 132 0.8× 174 1.1× 12 905
Sara Bachiller 625 1.2× 355 1.4× 199 1.1× 221 1.4× 228 1.5× 23 1.2k
Micaël Carrier 476 0.9× 171 0.7× 134 0.7× 126 0.8× 176 1.1× 27 798
Walid Jalabi 697 1.4× 202 0.8× 245 1.3× 136 0.8× 241 1.5× 13 1.0k
Francesca Salani 356 0.7× 251 1.0× 168 0.9× 293 1.8× 127 0.8× 25 943
Stefka Gyoneva 600 1.2× 353 1.4× 169 0.9× 104 0.6× 206 1.3× 20 1.0k
Grégory Conductier 282 0.6× 306 1.2× 282 1.5× 174 1.1× 168 1.1× 16 1.1k

Countries citing papers authored by Kimberly Young

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly Young. 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 Kimberly Young. The network helps show where Kimberly Young may publish in the future.

Co-authorship network of co-authors of Kimberly Young

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Young. A scholar is included among the top collaborators of Kimberly Young 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 Kimberly Young. Kimberly Young 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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