Helen L. Hellmich

2.0k total citations
49 papers, 1.6k citations indexed

About

Helen L. Hellmich is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Helen L. Hellmich has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Neurology and 9 papers in Developmental Neuroscience. Recurrent topics in Helen L. Hellmich's work include Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Mitochondrial Function and Pathology (8 papers) and Anesthesia and Neurotoxicity Research (7 papers). Helen L. Hellmich is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Mitochondrial Function and Pathology (8 papers) and Anesthesia and Neurotoxicity Research (7 papers). Helen L. Hellmich collaborates with scholars based in United States, Japan and India. Helen L. Hellmich's co-authors include Donald S. Prough, Douglas S. DeWitt, Andreas Zimmer, Kathleen Mahon, Lidia Kos, Stacy L. Sell, Tatsuo Uchida, Willemijntje A. Hoogerwerf, Germaine Cornélissen and Mark R. Hellmich and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Helen L. Hellmich

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen L. Hellmich United States 23 688 305 278 243 243 49 1.6k
Omolara O. Ogunshola Switzerland 28 1.1k 1.6× 241 0.8× 361 1.3× 217 0.9× 462 1.9× 55 2.8k
Sivakumar Viswanathan Singapore 29 786 1.1× 146 0.5× 252 0.9× 148 0.6× 226 0.9× 55 2.3k
Yu-Ping Peng China 26 657 1.0× 318 1.0× 431 1.6× 118 0.5× 205 0.8× 80 2.0k
Marcelle Bergeron United States 19 811 1.2× 303 1.0× 262 0.9× 237 1.0× 251 1.0× 26 1.9k
Philip Kitchen United Kingdom 22 1.1k 1.6× 319 1.0× 459 1.7× 103 0.4× 218 0.9× 38 2.1k
Susanna Amadio Italy 31 742 1.1× 523 1.7× 474 1.7× 148 0.6× 239 1.0× 65 2.7k
Linda‐Gail Bekker United States 19 591 0.9× 207 0.7× 591 2.1× 212 0.9× 236 1.0× 41 1.8k
Jeremy S. Francis United States 16 806 1.2× 101 0.3× 367 1.3× 127 0.5× 317 1.3× 20 1.8k
Adam Chodobski United States 22 740 1.1× 676 2.2× 527 1.9× 238 1.0× 189 0.8× 48 2.1k

Countries citing papers authored by Helen L. Hellmich

Since Specialization
Citations

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

Fields of papers citing papers by Helen L. Hellmich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen L. Hellmich. 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 Helen L. Hellmich. The network helps show where Helen L. Hellmich may publish in the future.

Co-authorship network of co-authors of Helen L. Hellmich

This figure shows the co-authorship network connecting the top 25 collaborators of Helen L. Hellmich. A scholar is included among the top collaborators of Helen L. Hellmich 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 Helen L. Hellmich. Helen L. Hellmich 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.
Widen, Steven G., Heidi Spratt, Stacy L. Sell, et al.. (2020). MicroRNA sequencing of rat hippocampus and human biofluids identifies acute, chronic, focal and diffuse traumatic brain injuries. Scientific Reports. 10(1). 3341–3341. 22 indexed citations
2.
Sell, Stacy L., Maria-Adelaide Micci, Michael T. Falduto, et al.. (2019). MicroRNA profiling identifies a novel compound with antidepressant properties. PLoS ONE. 14(8). e0221163–e0221163. 7 indexed citations
3.
Torres, Karen E. O., Michael T. Falduto, Mala Sinha, et al.. (2019). Traumatic brain injury induces long-lasting changes in immune and regenerative signaling. PLoS ONE. 14(4). e0214741–e0214741. 39 indexed citations
4.
Sell, Stacy L., et al.. (2018). Laser Capture Microdissection in Traumatic Brain Injury Research: Obtaining Hippocampal Subregions and Pools of Injured Neurons for Genomic Analyses. Methods in molecular biology. 1723. 235–245. 2 indexed citations
5.
Hellmich, Helen L., et al.. (2017). Stereotactic Atlas-Guided Laser Capture Microdissection of Brain Regions Affected by Traumatic Injury. Journal of Visualized Experiments. 1 indexed citations
6.
Sell, Stacy L., et al.. (2017). Stereotactic Atlas-Guided Laser Capture Microdissection of Brain Regions Affected by Traumatic Injury. Journal of Visualized Experiments. 2 indexed citations
7.
Bi, Min, Michael T. Falduto, Karen E. O. Torres, et al.. (2017). Evidence linking microRNA suppression of essential prosurvival genes with hippocampal cell death after traumatic brain injury. Scientific Reports. 7(1). 6645–6645. 18 indexed citations
8.
Shearer, Joseph J., Kristofer Jennings, Tatsuo Uchida, et al.. (2015). Stochastic fluctuations in gene expression in aging hippocampal neurons could be exacerbated by traumatic brain injury. Aging Clinical and Experimental Research. 28(2). 363–367. 4 indexed citations
9.
Hellmich, Helen L., Daniel R. Rojo, Stacy L. Sell, et al.. (2013). Pathway Analysis Reveals Common Pro-Survival Mechanisms of Metyrapone and Carbenoxolone after Traumatic Brain Injury. PLoS ONE. 8(1). e53230–e53230. 28 indexed citations
10.
11.
Sell, Stacy L., Maria‐Adelaide Micci, Margaret A. Parsley, et al.. (2012). Traumatic Brain Injury-Induced Dysregulation of the Circadian Clock. PLoS ONE. 7(10). e46204–e46204. 75 indexed citations
12.
Rojo, Daniel R., Donald S. Prough, Michael T. Falduto, et al.. (2011). Influence of Stochastic Gene Expression on the Cell Survival Rheostat after Traumatic Brain Injury. PLoS ONE. 6(8). e23111–e23111. 32 indexed citations
13.
Hellmich, Helen L., et al.. (2008). Chelation of neurotoxic zinc levels does not improve neurobehavioral outcome after traumatic brain injury. Neuroscience Letters. 440(2). 155–159. 20 indexed citations
14.
Saban, Marcia R., Helen L. Hellmich, Cindy Simpson, et al.. (2007). Repeated BCG treatment of mouse bladder selectively stimulates small GTPases and HLA antigens and inhibits single-spanning uroplakins. BMC Cancer. 7(1). 204–204. 20 indexed citations
15.
Prough, Donald S., et al.. (2006). Molecular correlates of age-specific responses to traumatic brain injury in mice. Experimental Gerontology. 41(11). 1201–1205. 35 indexed citations
17.
Prough, Donald S., et al.. (2005). Analysis of long-term gene expression in neurons of the hippocampal subfields following traumatic brain injury in rats. Neuroscience. 131(1). 87–97. 31 indexed citations
18.
Hellmich, Helen L., Christopher J. Frederickson, Douglas S. DeWitt, et al.. (2003). Protective effects of zinc chelation in traumatic brain injury correlate with upregulation of neuroprotective genes in rat brain. Neuroscience Letters. 355(3). 221–225. 47 indexed citations
19.
Toma, Hiroki, John H. Winston, Maria-Adelaide Micci, et al.. (2002). Characterization of the Neurotrophic Response to Acute Pancreatitis. Pancreas. 25(1). 31–38. 17 indexed citations
20.
Hellmich, Helen L., et al.. (1999). Comparison of Amphibian and Human ClC-5: Similarity of Functional Properties and Inhibition by External pH. The Journal of Membrane Biology. 168(3). 253–264. 43 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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