Dana Greene-Schloesser

1.6k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Dana Greene-Schloesser is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Developmental Neuroscience. According to data from OpenAlex, Dana Greene-Schloesser has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Developmental Neuroscience. Recurrent topics in Dana Greene-Schloesser's work include Glioma Diagnosis and Treatment (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Dana Greene-Schloesser is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Dana Greene-Schloesser collaborates with scholars based in United States, Netherlands and Bulgaria. Dana Greene-Schloesser's co-authors include Mike E. Robbins, Michael D. Chan, Ann M. Peiffer, Edward G. Shaw, Kenneth T. Wheeler, Elizabeth Moore, Valerie Payne, Fang‐Chi Hsu, Mitra Kooshki and David R. Riddle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Clinical Cancer Research.

In The Last Decade

Dana Greene-Schloesser

12 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiation-induced brain injury: A review

2012 511 citations Dana Greene-Schloesser, Mike E. Robbins et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Greene-Schloesser United States	9	655	569	248	243	160	12	1.2k
Kenneth A. Jenrow United States	19	330 0.5×	207 0.4×	350 1.4×	125 0.5×	93 0.6×	30	1.2k
Shinji Otsuka Japan	10	400 0.6×	304 0.5×	184 0.7×	649 2.7×	179 1.1×	20	1.3k
Duncan Morhardt United States	11	758 1.2×	630 1.1×	227 0.9×	1.1k 4.4×	357 2.2×	24	2.2k
Mary Catherine Mayo United States	6	132 0.2×	411 0.7×	196 0.8×	84 0.3×	98 0.6×	10	842
Marie Kalm Sweden	18	171 0.3×	229 0.4×	82 0.3×	341 1.4×	301 1.9×	32	866
Eiji Tada Japan	8	217 0.3×	281 0.5×	97 0.4×	505 2.1×	123 0.8×	14	786
Mark Henkelman Canada	21	295 0.5×	248 0.4×	175 0.7×	46 0.2×	56 0.3×	33	1.5k
Joshua L. Dowling United States	26	279 0.4×	410 0.7×	169 0.7×	46 0.2×	171 1.1×	59	1.7k
Sunjay Shah United States	13	1.0k 1.6×	712 1.3×	152 0.6×	28 0.1×	91 0.6×	29	1.5k
Lydia Tam United States	8	163 0.2×	280 0.5×	45 0.2×	106 0.4×	163 1.0×	18	804

Countries citing papers authored by Dana Greene-Schloesser

Since Specialization

Citations

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

Fields of papers citing papers by Dana Greene-Schloesser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Greene-Schloesser. 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 Dana Greene-Schloesser. The network helps show where Dana Greene-Schloesser may publish in the future.

Co-authorship network of co-authors of Dana Greene-Schloesser

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

All Works

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12 of 12 papers shown

Riley, William T., Dana Greene-Schloesser, Dara Blachman-Demner, & Michael Spittel. (2020). Twenty-five years of the National Institutes of Health Office of Behavioral and Social Sciences Research. Translational Behavioral Medicine. 10(5). 1243–1248. 3 indexed citations

Greene-Schloesser, Dana, Mitra Kooshki, Valerie Payne, et al.. (2014). Cellular response of the rat brain to single doses of¹³⁷Cs γ rays does not predict its response to prolonged ‘biologically equivalent’ fractionated doses. International Journal of Radiation Biology. 90(9). 790–798. 14 indexed citations

Greene-Schloesser, Dana, Valerie Payne, Ann M. Peiffer, et al.. (2014). The Peroxisomal Proliferator-Activated Receptor (PPAR) α Agonist, Fenofibrate, Prevents Fractionated Whole-Brain Irradiation-Induced Cognitive Impairment. Radiation Research. 181(1). 33–33. 46 indexed citations

Peiffer, Ann M., C.M. Leyrer, Dana Greene-Schloesser, et al.. (2013). Neuroanatomical target theory as a predictive model for radiation-induced cognitive decline. Neurology. 80(8). 747–753. 89 indexed citations

Schnegg, Caroline I., Dana Greene-Schloesser, Mitra Kooshki, et al.. (2013). The PPARδ agonist GW0742 inhibits neuroinflammation, but does not restore neurogenesis or prevent early delayed hippocampal-dependent cognitive impairment after whole-brain irradiation. Free Radical Biology and Medicine. 61. 1–9. 37 indexed citations

Greene-Schloesser, Dana, Elizabeth Moore, & Mike E. Robbins. (2013). Molecular Pathways: Radiation-Induced Cognitive Impairment. Clinical Cancer Research. 19(9). 2294–2300. 214 indexed citations

Greene-Schloesser, Dana & Mike E. Robbins. (2012). Radiation-induced cognitive impairment-from bench to bedside. Neuro-Oncology. 14(suppl 4). iv37–iv44. 170 indexed citations

Greene-Schloesser, Dana, Mike E. Robbins, Ann M. Peiffer, et al.. (2012). Radiation-induced brain injury: A review. SHILAP Revista de lepidopterología. 2. 73–73. 511 indexed citations breakdown →

Greene-Schloesser, Dana, Valerie Payne, Debra I. Diz, et al.. (2012). Chronic Administration of the Angiotensin-Converting Enzyme Inhibitor, Ramipril, Prevents Fractionated Whole-Brain Irradiation-Induced Perirhinal Cortex-Dependent Cognitive Impairment. Radiation Research. 178(1). 46–46. 81 indexed citations

10.

Greene-Schloesser, Dana, Caroline I. Schnegg, & Mike E. Robbins. (2012). Behavioral Paradigms to Evaluate PPAR Modulation in Animal Models of Brain Injury. Methods in molecular biology. 325–336. 1 indexed citations

11.

Leyrer, C.M., Ann M. Peiffer, Dana Greene-Schloesser, et al.. (2011). Normal Tissue Complication Modeling of the Brain: Dose-volume Histogram Analysis of Neurocognitive Outcomes of Two CCOP Trials. International Journal of Radiation Oncology*Biology*Physics. 81(2). S184–S185. 3 indexed citations

12.

Greene-Schloesser, Dana, et al.. (2011). Predictive validity of a non-induced mouse model of compulsive-like behavior. Behavioural Brain Research. 221(1). 55–62. 59 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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