Rachel D. Kim

14 total papers · 973 total citations
8 papers, 552 citations indexed

About

Rachel D. Kim is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Rachel D. Kim has authored 8 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Rachel D. Kim's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune cells in cancer (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Rachel D. Kim is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune cells in cancer (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Rachel D. Kim collaborates with scholars based in United States, Switzerland and Mexico. Rachel D. Kim's co-authors include Shane A. Liddelow, Philip Hasel, Indigo V.L. Rose, Jessica S. Sadick, Rafael Taeho Han, Anna V. Molofsky, Charles Glabe, Emilie L. Castranio, Jean‐Vianney Haure‐Mirande and Minghui Wang and has published in prestigious journals such as Science, Nature Neuroscience and Immunity.

In The Last Decade

Rachel D. Kim

8 papers receiving 551 citations

Hit Papers

Neuroinflammatory astrocy... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Rachel D. Kim 364 205 129 118 93 8 552
Thuy-Vi V. Nguyen 328 0.9× 193 0.9× 121 0.9× 113 1.0× 111 1.2× 8 602
Megan Varnum 301 0.8× 241 1.2× 116 0.9× 173 1.5× 74 0.8× 8 588
Emma Gerrits 400 1.1× 189 0.9× 165 1.3× 177 1.5× 56 0.6× 13 563
Niklas Meyer 409 1.1× 147 0.7× 143 1.1× 105 0.9× 159 1.7× 7 607
Han Lin 391 1.1× 147 0.7× 189 1.5× 187 1.6× 77 0.8× 8 558
Kasey M. Johnson 310 0.9× 144 0.7× 127 1.0× 81 0.7× 149 1.6× 10 522
Ruying Fu 410 1.1× 158 0.8× 193 1.5× 147 1.2× 71 0.8× 6 618
Kenneth J. Colodner 291 0.8× 168 0.8× 127 1.0× 211 1.8× 118 1.3× 10 573
Megan Torvell 239 0.7× 161 0.8× 118 0.9× 141 1.2× 146 1.6× 12 529
Dilansu Güneykaya 376 1.0× 124 0.6× 180 1.4× 107 0.9× 104 1.1× 9 585

Countries citing papers authored by Rachel D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Rachel D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel D. Kim. 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 Rachel D. Kim. The network helps show where Rachel D. Kim may publish in the future.

Co-authorship network of co-authors of Rachel D. Kim

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

All Works

Loading papers...

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

Rankless by CCL
2026