Casey Case

1.0k total citations · 1 hit paper
8 papers, 684 citations indexed

About

Casey Case is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Casey Case has authored 8 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Casey Case's work include Mesenchymal stem cell research (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Acute Ischemic Stroke Management (2 papers). Casey Case is often cited by papers focused on Mesenchymal stem cell research (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Acute Ischemic Stroke Management (2 papers). Casey Case collaborates with scholars based in United States, Czechia and Japan. Casey Case's co-authors include Michael McGrogan, Ernest W. Yankee, L. Dade Lunsford, Anthony Kim, Douglas Kondziolka, Jeremiah N. Johnson, Damien Bates, Neil Schwartz, Lawrence R. Wechsler and Gary K. Steinberg and has published in prestigious journals such as PLoS ONE, Stroke and Journal of neurosurgery.

In The Last Decade

Casey Case

8 papers receiving 660 citations

Hit Papers

Clinical Outcomes of Transplanted Modified Bone Marrow–De... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey Case United States 7 343 230 188 173 148 8 684
Loren E. Glover United States 11 244 0.7× 229 1.0× 115 0.6× 141 0.8× 133 0.9× 13 603
Maria Coburn United States 5 164 0.5× 133 0.6× 90 0.5× 129 0.7× 78 0.5× 8 441
Dong‐In Sinn South Korea 6 155 0.5× 176 0.8× 145 0.8× 110 0.6× 194 1.3× 12 607
Julia Billigen United States 5 158 0.5× 97 0.4× 77 0.4× 97 0.6× 69 0.5× 7 348
Xiaopei Xi United States 8 185 0.5× 120 0.5× 92 0.5× 188 1.1× 62 0.4× 11 410
Kiryo Wakabayashi Japan 9 213 0.6× 126 0.5× 116 0.6× 150 0.9× 60 0.4× 15 468
Vanessa Donega Netherlands 12 210 0.6× 194 0.8× 206 1.1× 109 0.6× 77 0.5× 18 637
Kelsey Duncan United States 9 174 0.5× 105 0.5× 69 0.4× 53 0.3× 143 1.0× 13 442
Dearbhaile Dooley Ireland 16 86 0.3× 163 0.7× 117 0.6× 168 1.0× 273 1.8× 29 717
Camilla Reali Italy 13 99 0.3× 206 0.9× 120 0.6× 159 0.9× 99 0.7× 16 601

Countries citing papers authored by Casey Case

Since Specialization
Citations

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

Fields of papers citing papers by Casey Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Case

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

All Works

8 of 8 papers shown
1.
Steinberg, Gary K., Douglas Kondziolka, Lawrence R. Wechsler, et al.. (2019). Two-year safety and clinical outcomes in chronic ischemic stroke patients after implantation of modified bone marrow–derived mesenchymal stem cells (SB623): a phase 1/2a study. Journal of neurosurgery. 131(5). 1462–1472. 109 indexed citations
2.
Steinberg, Gary K., Douglas Kondziolka, Lawrence R. Wechsler, et al.. (2016). Clinical Outcomes of Transplanted Modified Bone Marrow–Derived Mesenchymal Stem Cells in Stroke. Stroke. 47(7). 1817–1824. 303 indexed citations breakdown →
3.
Tajiri, Naoki, Kelsey Duncan, Mibel Pabon, et al.. (2014). Stem cell-paved biobridge facilitates neural repair in traumatic brain injury. Frontiers in Systems Neuroscience. 8. 116–116. 55 indexed citations
4.
Steinberg, Gary K., Douglas Kondziolka, Neil Schwartz, et al.. (2014). Abstract 149: A Novel Phase 1/2A Study of Intraparenchymal Transplantation of Human Modified Bone Marrow Derived Cells in Patients with Stable Ischemic Stroke. Stroke. 45(suppl_1). 6 indexed citations
5.
Tajiri, Naoki, Yuji Kaneko, Kazutaka Shinozuka, et al.. (2013). Stem Cell Recruitment of Newly Formed Host Cells via a Successful Seduction? Filling the Gap between Neurogenic Niche and Injured Brain Site. PLoS ONE. 8(9). e74857–e74857. 69 indexed citations
6.
Yasuhara, Takao, Noriyuki Matsukawa, Koichi Hara, et al.. (2009). Notch-Induced Rat and Human Bone Marrow Stromal Cell Grafts Reduce Ischemic Cell Loss and Ameliorate Behavioral Deficits in Chronic Stroke Animals. Stem Cells and Development. 18(10). 1501–1514. 81 indexed citations
7.
Morton, Magda F., Peiqi Liu, Andreas Reik, et al.. (2005). Pharmacological analysis of CCK2 receptors up-regulated using engineered transcription factors. Regulatory Peptides. 129(1-3). 227–232. 6 indexed citations
8.
Medina, Julio C., Bei Shan, Holger Beckmann, et al.. (1998). Novel antineoplastic agents with efficacy against multidrug resistant tumor cells. Bioorganic & Medicinal Chemistry Letters. 8(19). 2653–2656. 55 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.

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