David J. Graber

1.5k total citations
34 papers, 1.1k citations indexed

About

David J. Graber is a scholar working on Neurology, Neurology and Genetics. According to data from OpenAlex, David J. Graber has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 7 papers in Neurology and 6 papers in Genetics. Recurrent topics in David J. Graber's work include Amyotrophic Lateral Sclerosis Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neurogenetic and Muscular Disorders Research (5 papers). David J. Graber is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neurogenetic and Muscular Disorders Research (5 papers). David J. Graber collaborates with scholars based in United States, United Kingdom and France. David J. Graber's co-authors include Brent T. Harris, William F. Hickey, Charles L. Sentman, Richard M. Peters, Michael Levy, Douglas A. Kerr, William F. Wade, James S. Milledge, al. et and K. H. Maret and has published in prestigious journals such as Langmuir, Journal of Applied Physiology and Neuroscience.

In The Last Decade

David J. Graber

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Graber United States 17 280 271 213 189 149 34 1.1k
Brahim Tabarki Saudi Arabia 24 240 0.9× 327 1.2× 567 2.7× 111 0.6× 284 1.9× 89 1.8k
Indran Davagnanam United Kingdom 24 178 0.6× 828 3.1× 315 1.5× 201 1.1× 184 1.2× 100 1.8k
Hannu Tuominen Finland 20 98 0.3× 194 0.7× 411 1.9× 229 1.2× 165 1.1× 72 1.7k
Kay Nolte Germany 25 91 0.3× 458 1.7× 351 1.6× 63 0.3× 165 1.1× 70 1.6k
Amandine Jullienne France 26 114 0.4× 292 1.1× 757 3.6× 134 0.7× 120 0.8× 89 1.9k
Franz Blaes Germany 27 141 0.5× 928 3.4× 202 0.9× 524 2.8× 98 0.7× 76 1.9k
Aviva Katzav Israel 21 138 0.5× 253 0.9× 216 1.0× 79 0.4× 67 0.4× 43 1.2k
Patricia Crock Australia 28 853 3.0× 123 0.5× 563 2.6× 148 0.8× 70 0.5× 66 2.4k
Stefano Gambardella Italy 24 157 0.6× 256 0.9× 759 3.6× 217 1.1× 102 0.7× 74 1.7k
Fumio Kanda Japan 21 61 0.2× 335 1.2× 545 2.6× 178 0.9× 130 0.9× 95 1.4k

Countries citing papers authored by David J. Graber

Since Specialization
Citations

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

Fields of papers citing papers by David J. Graber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Graber. 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 David J. Graber. The network helps show where David J. Graber may publish in the future.

Co-authorship network of co-authors of David J. Graber

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

All Works

20 of 20 papers shown
1.
2.
3.
Murad, Joana, David J. Graber, & Charles L. Sentman. (2018). Advances in the use of natural receptor- or ligand-based chimeric antigen receptors (CARs) in haematologic malignancies. Best Practice & Research Clinical Haematology. 31(2). 176–183. 30 indexed citations
4.
Graber, David J., Beth A. Costine, & William F. Hickey. (2015). Early inflammatory mediator gene expression in two models of traumatic brain injury: ex vivo cortical slice in mice and in vivo cortical impact in piglets. Journal of Neuroinflammation. 12(1). 76–76. 18 indexed citations
5.
Graber, David J. & Brent T. Harris. (2013). Purification and Culture of Spinal Motor Neurons from Rat Embryos. Cold Spring Harbor Protocols. 2013(4). pdb.prot074161–pdb.prot074161. 26 indexed citations
6.
Graber, David J., William F. Hickey, Elijah W. Stommel, & Brent T. Harris. (2012). Anti-Inflammatory Efficacy of Dexamethasone and Nrf2 Activators in the CNS Using Brain Slices as a Model of Acute Injury. Journal of Neuroimmune Pharmacology. 7(1). 266–278. 12 indexed citations
7.
Maue, Robert A., Robert W. Burgess, Bing Wang, et al.. (2011). A novel mouse model of Niemann–Pick type C disease carrying a D1005G-Npc1 mutation comparable to commonly observed human mutations. Human Molecular Genetics. 21(4). 730–750. 103 indexed citations
8.
Graber, David J., Abigail Snyder‐Keller, David A. Lawrence, & James N. Turner. (2011). Neurodegeneration by activated microglia across a nanofiltration membrane. Journal of Biochemical and Molecular Toxicology. 26(2). 45–53. 9 indexed citations
9.
Graber, David J., et al.. (2010). Synthetic Triterpenoid CDDO Derivatives Modulate Cytoprotective or Immunological Properties in Astrocytes, Neurons, and Microglia. Journal of Neuroimmune Pharmacology. 6(1). 107–120. 11 indexed citations
10.
Vinson, David R., et al.. (2010). Managing Emergency Department Patients with Recent-onset Atrial Fibrillation. Journal of Emergency Medicine. 42(2). 139–148. 31 indexed citations
11.
Graber, David J., William F. Hickey, & Brent T. Harris. (2010). Progressive changes in microglia and macrophages in spinal cord and peripheral nerve in the transgenic rat model of amyotrophic lateral sclerosis. Journal of Neuroinflammation. 7(1). 8–8. 90 indexed citations
12.
Stommel, Elijah W., Jeffrey A. Cohen, Camilo E. Fadul, et al.. (2009). Efficacy of thalidomide for the treatment of amyotrophic lateral sclerosis: A phase II open label clinical trial. Amyotrophic Lateral Sclerosis. 10(5-6). 393–404. 72 indexed citations
13.
Snyder‐Keller, Abigail, Kuei Y. Tseng, Gregory D. Lyng, David J. Graber, & Patricio O’Donnell. (2008). Afferent influences on striatal development in organotypic cocultures. Synapse. 62(7). 487–500. 12 indexed citations
14.
Graber, David J., Michael Levy, Douglas A. Kerr, & William F. Wade. (2008). Neuromyelitis optica pathogenesis and aquaporin 4. Journal of Neuroinflammation. 5(1). 22–22. 119 indexed citations
15.
Stommel, Elijah W., et al.. (2007). Does treating schizophrenia reduce the chances of developing amyotrophic lateral sclerosis?. Medical Hypotheses. 69(5). 1021–1028. 10 indexed citations
16.
Stommel, Elijah W., et al.. (2007). Tumor necrosis factor-alpha induces changes in mitochondrial cellular distribution in motor neurons. Neuroscience. 146(3). 1013–1019. 16 indexed citations
17.
Costantini, Lauren C., et al.. (2001). Development of striatal patch/matrix organization in organotypic co-cultures of perinatal striatum, cortex and substantia nigra. Neuroscience. 103(1). 97–109. 19 indexed citations
18.
Delisle, M. B., et al.. (1995). Mixed desmoplastic primitive neuroepithelial tumor of infancy: a light microscopic, immunocytochemical, ultrastructural and genetic study. Acta Neuropathologica. 89(1). 99–104. 1 indexed citations
19.
Berman, David S. & David J. Graber. (1992). Sedation and analgesia.. PubMed. 10(4). 691–705. 7 indexed citations
20.
Graber, David J., et al.. (1991). Acute misoprostol toxicity. Annals of Emergency Medicine. 20(5). 549–551. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Brahim Tabarki Breakdown of academic impact, for papers by Indran Davagnanam Breakdown of academic impact, for papers by Hannu Tuominen Breakdown of academic impact, for papers by Kay Nolte Breakdown of academic impact, for papers by Amandine Jullienne Breakdown of academic impact, for papers by Franz Blaes Breakdown of academic impact, for papers by Aviva Katzav Breakdown of academic impact, for papers by Patricia Crock Breakdown of academic impact, for papers by Stefano Gambardella Breakdown of academic impact, for papers by Fumio Kanda
Rankless by CCL
2026