Daniel G. Spomar

464 total citations
9 papers, 390 citations indexed

About

Daniel G. Spomar is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Daniel G. Spomar has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Daniel G. Spomar's work include Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (4 papers) and Protease and Inhibitor Mechanisms (3 papers). Daniel G. Spomar is often cited by papers focused on Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (4 papers) and Protease and Inhibitor Mechanisms (3 papers). Daniel G. Spomar collaborates with scholars based in United States. Daniel G. Spomar's co-authors include Jasti S. Rao, Dzung H. Dinh, Meena Gujrati, Venkata Ramesh Dasari, Christopher S. Gondi, Craig Cady, Liang Li, Kay L. Saving, Raphael C. Lee and Richard B. Borgens and has published in prestigious journals such as Cancer Research, Journal of neurosurgery and Journal of Neurotrauma.

In The Last Decade

Daniel G. Spomar

9 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Spomar United States 8 144 135 125 118 76 9 390
William A. Pennant South Korea 11 139 1.0× 96 0.7× 92 0.7× 94 0.8× 107 1.4× 16 323
W. Barada Lebanon 7 201 1.4× 102 0.8× 47 0.4× 90 0.8× 75 1.0× 9 366
Santiago Oya Spain 15 283 2.0× 192 1.4× 224 1.8× 132 1.1× 97 1.3× 23 552
D. F. David Australia 14 173 1.2× 154 1.1× 56 0.4× 264 2.2× 70 0.9× 25 672
Jessica Schira‐Heinen Germany 13 167 1.2× 74 0.5× 83 0.7× 301 2.6× 106 1.4× 24 605
Fumiya Kano Japan 10 196 1.4× 63 0.5× 79 0.6× 111 0.9× 79 1.0× 22 400
Philippe Pencalet France 7 219 1.5× 58 0.4× 128 1.0× 92 0.8× 83 1.1× 9 440
Silvia Snider Italy 9 126 0.9× 78 0.6× 107 0.9× 62 0.5× 56 0.7× 26 333
Naokado Ikeda Japan 12 255 1.8× 45 0.3× 84 0.7× 144 1.2× 97 1.3× 57 639
Taghrid El-Hajj Lebanon 6 196 1.4× 102 0.8× 36 0.3× 97 0.8× 97 1.3× 9 381

Countries citing papers authored by Daniel G. Spomar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Spomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Spomar. 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 Daniel G. Spomar. The network helps show where Daniel G. Spomar may publish in the future.

Co-authorship network of co-authors of Daniel G. Spomar

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

All Works

9 of 9 papers shown
2.
Tsung, Andrew J., Odysseas Kargiotis, Chandramu Chetty, et al.. (2008). Downregulation of matrix metalloproteinase-2 (MMP-2) utilizing adenovirus-mediated transfer of small interfering RNA (siRNA) in a novel spinal metastatic melanoma model. International Journal of Oncology. 32(3). 557–64. 23 indexed citations
3.
Dasari, Venkata Ramesh, Daniel G. Spomar, Liang Li, et al.. (2007). Umbilical Cord Blood Stem Cell Mediated Downregulation of Fas Improves Functional Recovery of Rats after Spinal Cord Injury. Neurochemical Research. 33(1). 134–149. 67 indexed citations
4.
Dasari, Venkata Ramesh, Daniel G. Spomar, Craig Cady, et al.. (2007). Mesenchymal Stem Cells from Rat Bone Marrow Downregulate Caspase-3-mediated Apoptotic Pathway After Spinal Cord Injury in Rats. Neurochemical Research. 32(12). 2080–2093. 66 indexed citations
5.
Alvernia, Jorge E., Daniel G. Spomar, & William C. Olivero. (2007). A computed tomography scan and anatomical cadaveric study of the pterygopalatine ganglion for use in Gamma Knife treatment of cluster headache. Journal of neurosurgery. 107(4). 805–808. 14 indexed citations
6.
Dasari, Venkata Ramesh, Daniel G. Spomar, Christopher S. Gondi, et al.. (2007). Axonal Remyelination by Cord Blood Stem Cells after Spinal Cord Injury. Journal of Neurotrauma. 24(2). 391–410. 86 indexed citations
8.
Spomar, Daniel G., Christopher S. Gondi, William C. Olivero, et al.. (2007). RNAi-mediated abrogation of cathepsin B and MMP-9 gene expression in a malignant meningioma cell line leads to decreased tumor growth, invasion and angiogenesis.. Cancer Research. 31(5). 1039–50. 30 indexed citations
9.
Borgens, Richard B., et al.. (2004). Subcutaneous tri‐block copolymer produces recovery from spinal cord injury. Journal of Neuroscience Research. 76(1). 141–154. 52 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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