D. T. Ross

1.1k total citations
10 papers, 865 citations indexed

About

D. T. Ross is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Neurology. According to data from OpenAlex, D. T. Ross has authored 10 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in D. T. Ross's work include Automotive and Human Injury Biomechanics (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Traumatic Brain Injury Research (3 papers). D. T. Ross is often cited by papers focused on Automotive and Human Injury Biomechanics (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Traumatic Brain Injury Research (3 papers). D. T. Ross collaborates with scholars based in United States, Australia and Japan. D. T. Ross's co-authors include David F. Meaney, Thomas A. Gennarelli, Holger Dieterich, Olli Kallioniemi, Frank Mross, Matt van de Rijn, Markus Zuber, Pat Brown, Ossi R. Köchli and J. Torhorst and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and American Journal Of Pathology.

In The Last Decade

D. T. Ross

10 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. T. Ross United States	6	294	264	260	209	203	10	865
C. W. Perrett United Kingdom	17	491 1.7×	185 0.7×	193 0.7×	91 0.4×	264 1.3×	31	1.2k
Jeffrey C. Pence United States	12	315 1.1×	575 2.2×	253 1.0×	99 0.5×	86 0.4×	24	955
Roberta Sestini Italy	22	595 2.0×	362 1.4×	207 0.8×	404 1.9×	279 1.4×	45	1.3k
MA Shipp United States	13	388 1.3×	544 2.1×	121 0.5×	95 0.5×	70 0.3×	14	1.2k
Frank S. Jannotta United States	10	213 0.7×	217 0.8×	129 0.5×	64 0.3×	88 0.4×	13	725
Yue‐Bei Luo China	18	403 1.4×	89 0.3×	110 0.4×	162 0.8×	275 1.4×	52	906
Julie Lejeune France	18	543 1.8×	171 0.6×	394 1.5×	225 1.1×	264 1.3×	33	1.5k
Anthony J. Apicelli United States	16	511 1.7×	264 1.0×	78 0.3×	101 0.5×	73 0.4×	29	1.0k
Roland Böni Switzerland	16	243 0.8×	280 1.1×	78 0.3×	61 0.3×	111 0.5×	22	603
Ria Winkelmann Germany	15	125 0.4×	258 1.0×	104 0.4×	33 0.2×	127 0.6×	56	716

Countries citing papers authored by D. T. Ross

Since Specialization

Citations

This map shows the geographic impact of D. T. Ross'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 D. T. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. T. Ross more than expected).

Fields of papers citing papers by D. T. Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. T. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of D. T. Ross. A scholar is included among the top collaborators of D. T. Ross 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 D. T. Ross. D. T. Ross 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

Samimi, Goli, Brian Z. Ring, D. T. Ross, et al.. (2012). TLE3 Expression Is Associated with Sensitivity to Taxane Treatment in Ovarian Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 21(2). 273–279. 17 indexed citations

Jensen, Kristin C., David F. Schaeffer, Maggie C.U. Cheang, et al.. (2008). Characterization of a novel anti-fatty acid synthase (FASN) antiserum in breast tissue. Modern Pathology. 21(12). 1413–1420. 3 indexed citations

Ross, D. T., Gong Tang, Brian Z. Ring, et al.. (2007). Chemosensitivity and stratification by a five monoclonal antibody IHC test in the NSABP B20 trial. Journal of Clinical Oncology. 25(18_suppl). 529–529. 2 indexed citations

Rijn, Matt van de, Charles M. Perou, Rob Tibshirani, et al.. (2002). Expression of Cytokeratins 17 and 5 Identifies a Group of Breast Carcinomas with Poor Clinical Outcome. American Journal Of Pathology. 161(6). 1991–1996. 465 indexed citations

Rijn, Matt van de, Charles M. Perou, Rob Tibshirani, et al.. (2002). Short Communication Expression of Cytokeratins 17 and 5 Identifies a Group of Breast Carcinomas with Poor Clinical Outcome. 1 indexed citations

Meaney, David F., Douglas H. Smith, David I. Shreiber, et al.. (1995). Biomechanical Analysis of Experimental Diffuse Axonal Injury. Journal of Neurotrauma. 12(4). 689–694. 198 indexed citations

Meaney, David F., D. T. Ross, Beth A. Winkelstein, et al.. (1994). Modification of the Cortical Impact Model To Produce Axonal Injury in the Rat Cerebral Cortex. Journal of Neurotrauma. 11(5). 599–612. 70 indexed citations

Meaney, David F., D. S. Smith, David I. Shreiber, et al.. (1994). PREDICTION OF EXPERIMENTAL DIFFUSE AXONAL INJURY SEVERITY USING MACROSCOPIC HEAD MOTION PARAMETERS. 38. 345–357. 3 indexed citations

Lai, Ming‐Zong, D. T. Ross, J G Guillet, et al.. (1987). T lymphocyte response to bacteriophage lambda repressor cI protein. Recognition of the same peptide presented by Ia molecules of different haplotypes.. The Journal of Immunology. 139(12). 3973–3980. 60 indexed citations

10.

Nakamura, Masataka, D. T. Ross, Thomas J. Briner, & M L Gefter. (1986). Cytolytic activity of antigen-specific T cells with helper phenotype.. The Journal of Immunology. 136(1). 44–47. 46 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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