Dennis Oh

735 total citations
10 papers, 617 citations indexed

About

Dennis Oh is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dennis Oh has authored 10 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Immunology. Recurrent topics in Dennis Oh's work include Peptidase Inhibition and Analysis (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Studies on Chitinases and Chitosanases (3 papers). Dennis Oh is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Studies on Chitinases and Chitosanases (3 papers). Dennis Oh collaborates with scholars based in United States, Thailand and China. Dennis Oh's co-authors include Sherry L. Taylor, Steve Scully, Brooke Bentley, Luis Moral, Ralph Francescone, Wei Yan, Rong Shao, Michael Faibish, Rong Shao and Lawrence M. Schwartz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Cancer Research.

In The Last Decade

Dennis Oh

8 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis Oh United States	7	436	183	152	146	140	10	617
Kelly C. Goldsmith United States	19	543 1.2×	237 1.3×	149 1.0×	165 1.1×	150 1.1×	48	911
Luis Moral United States	6	386 0.9×	174 1.0×	126 0.8×	141 1.0×	114 0.8×	12	536
Michael Faibish United States	8	532 1.2×	220 1.2×	93 0.6×	124 0.8×	187 1.3×	10	701
Christopher Duntsch United States	12	260 0.6×	221 1.2×	172 1.1×	113 0.8×	108 0.8×	13	638
Steve Scully United States	5	420 1.0×	182 1.0×	114 0.8×	146 1.0×	129 0.9×	7	541
Mahtab Maleki Qatar	8	424 1.0×	227 1.2×	144 0.9×	233 1.6×	81 0.6×	12	739
Miran Rada Canada	14	363 0.8×	162 0.9×	72 0.5×	175 1.2×	109 0.8×	25	612
Mariam Totonchy United States	9	368 0.8×	337 1.8×	208 1.4×	114 0.8×	103 0.7×	20	762
Marina Cihova Slovakia	13	344 0.8×	243 1.3×	174 1.1×	144 1.0×	64 0.5×	20	664
Thale Kristin Olsen Sweden	11	335 0.8×	144 0.8×	134 0.9×	169 1.2×	90 0.6×	24	603

Countries citing papers authored by Dennis Oh

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Oh

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

All Works

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10 of 10 papers shown

1.

Wang, Andy, Wenya Linda Bi, William T. Curry, et al.. (2022). The New England Neurosurgical Society: growth and evolution over 70 years. Journal of neurosurgery. 138(1). 261–269.

2.

Bucci, Michael N., et al.. (2017). The ROI-C zero-profile anchored spacer for anterior cervical discectomy and fusion: biomechanical profile and clinical outcomes. Medical Devices Evidence and Research. Volume 10. 61–69. 22 indexed citations

3.

Ngernyuang, Nipaporn, Wei Yan, Lawrence M. Schwartz, et al.. (2017). A Heparin Binding Motif Rich in Arginine and Lysine is the Functional Domain of YKL-40. Neoplasia. 20(2). 182–192. 28 indexed citations

4.

Shao, Rong, Sherry L. Taylor, Dennis Oh, & Lawrence M. Schwartz. (2015). Vascular heterogeneity and targeting: the role of YKL-40 in glioblastoma vascularization. Oncotarget. 6(38). 40507–40518. 58 indexed citations

5.

Francescone, Ralph, Steve Scully, Brooke Bentley, et al.. (2012). Glioblastoma-derived Tumor Cells Induce Vasculogenic Mimicry through Flk-1 Protein Activation. Journal of Biological Chemistry. 287(29). 24821–24831. 124 indexed citations

6.

Scully, Steve, Ralph Francescone, Michael Faibish, et al.. (2012). Transdifferentiation of Glioblastoma Stem-Like Cells into Mural Cells Drives Vasculogenic Mimicry in Glioblastomas. Journal of Neuroscience. 32(37). 12950–12960. 135 indexed citations

7.

Oh, Dennis & Peter McL. Black. (2012). Normal Pressure Hydrocephalus. PubMed. 118(5). 643–654.

8.

Shao, Rong, Steve Scully, Ralph Francescone, et al.. (2012). Abstract 1024: Mural cell transdifferentiation of glioblastoma stem-like cells drives vasculogenic mimicry in glioblastoma development. Cancer Research. 72(8_Supplement). 1024–1024. 1 indexed citations

9.

Francescone, Ralph, Steve Scully, Michael Faibish, et al.. (2011). Role of YKL-40 in the Angiogenesis, Radioresistance, and Progression of Glioblastoma. Journal of Biological Chemistry. 286(17). 15332–15343. 218 indexed citations

10.

Oh, Dennis & Peter M. Black. (2005). A low-field intraoperative MRI system for glioma surgery: is it worthwhile?. Neurosurgery Clinics of North America. 16(1). 135–141. 31 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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