Bradley E. Enerson

1.8k total citations
18 papers, 1.4k citations indexed

About

Bradley E. Enerson is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Bradley E. Enerson has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Oncology. Recurrent topics in Bradley E. Enerson's work include Diet and metabolism studies (5 papers), Amino Acid Enzymes and Metabolism (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Bradley E. Enerson is often cited by papers focused on Diet and metabolism studies (5 papers), Amino Acid Enzymes and Metabolism (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Bradley E. Enerson collaborates with scholars based in United States, Belgium and France. Bradley E. Enerson's co-authors include Lester R. Drewes, Richard L. Leino, David Z. Gerhart, Olga Zhdankina, Roman Duelli, D. Z. Gerhart, Michael Lawton, Hongyu Zhao, Aiping Lin and Eugenia Floyd and has published in prestigious journals such as Bioinformatics, Journal of Cerebral Blood Flow & Metabolism and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Bradley E. Enerson

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bradley E. Enerson United States	12	595	368	292	229	220	18	1.4k
María Delgado‐Esteban Spain	19	775 1.3×	305 0.8×	228 0.8×	130 0.6×	88 0.4×	27	1.4k
Haruyuki Tatsumi Japan	18	518 0.9×	242 0.7×	323 1.1×	114 0.5×	79 0.4×	48	1.6k
Emilio Fernández Spain	15	925 1.6×	377 1.0×	340 1.2×	56 0.2×	131 0.6×	17	1.6k
Ángeles Martín‐Requero Spain	26	780 1.3×	561 1.5×	165 0.6×	101 0.4×	89 0.4×	82	1.6k
Tatsuro Koike Japan	24	948 1.6×	314 0.9×	594 2.0×	113 0.5×	171 0.8×	50	2.1k
Je‐Seong Won United States	22	821 1.4×	560 1.5×	216 0.7×	131 0.6×	106 0.5×	58	1.6k
Jianhai Du United States	36	2.4k 4.0×	472 1.3×	425 1.5×	122 0.5×	155 0.7×	95	3.3k
Ju Gao China	23	1.1k 1.9×	471 1.3×	195 0.7×	82 0.4×	89 0.4×	71	2.1k
Douglas Ebert United States	14	808 1.4×	620 1.7×	163 0.6×	120 0.5×	81 0.4×	28	1.7k
Vincenzo Sorrentino Switzerland	21	1.1k 1.8×	550 1.5×	154 0.5×	84 0.4×	86 0.4×	33	1.9k

Countries citing papers authored by Bradley E. Enerson

Since Specialization

Citations

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

Fields of papers citing papers by Bradley E. Enerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley E. Enerson. 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 Bradley E. Enerson. The network helps show where Bradley E. Enerson may publish in the future.

Co-authorship network of co-authors of Bradley E. Enerson

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

All Works

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18 of 18 papers shown

1.

Enerson, Bradley E., Gregg D. Cappon, Yatao Shi, et al.. (2025). Developmental toxicology profile of the IRAK4 degrader KT-474. Toxicological Sciences. 209(2).

2.

Mikaelian, Igor, Mark J. Cameron, Deidre A. Dalmas, et al.. (2014). Nonclinical Safety Biomarkers of Drug-induced Vascular Injury. Toxicologic Pathology. 42(4). 635–657. 25 indexed citations

3.

Tobin, Anne‐Marie, Jun Zhang, David G. Goodwin, et al.. (2014). The Role of eNOS Phosphorylation in Causing Drug-induced Vascular Injury. Toxicologic Pathology. 42(4). 709–724. 8 indexed citations

4.

Swanson, Terri A., John M. Kreeger, Leslie Obert, et al.. (2014). Hemodynamic Correlates of Drug-induced Vascular Injury in the Rat Using High-frequency Ultrasound Imaging. Toxicologic Pathology. 42(4). 784–791. 2 indexed citations

5.

Pettersen, John C., John Litchfield, Stephen P. Schmidt, et al.. (2014). The Relationship of Glucokinase Activator–induced Hypoglycemia with Arteriopathy, Neuronal Necrosis, and Peripheral Neuropathy in Nonclinical Studies. Toxicologic Pathology. 42(4). 696–708. 10 indexed citations

6.

Morton, Daniel, Lori A. Reed, Wenhu Huang, et al.. (2014). Toxicity of Hydroxyurea in Rats and Dogs. Toxicologic Pathology. 43(4). 498–512. 13 indexed citations

7.

Sheth, Christopher M., Bradley E. Enerson, David G. Peters, Michael Lawton, & James L. Weaver. (2011). Effects of Modulating In Vivo Nitric Oxide Production on the Incidence and Severity of PDE4 Inhibitor–Induced Vascular Injury in Sprague-Dawley Rats. Toxicological Sciences. 122(1). 7–15. 7 indexed citations

8.

Enerson, Bradley E., Aiping Lin, Bin Lü, et al.. (2006). Acute Drug-Induced Vascular Injury in Beagle Dogs: Pathology and Correlating Genomic Expression. Toxicologic Pathology. 34(1). 27–32. 18 indexed citations

9.

Pang, Herbert, Aiping Lin, Matthew Holford, et al.. (2006). Pathway analysis using random forests classification and regression. Bioinformatics. 22(16). 2028–2036. 180 indexed citations

10.

Enerson, Bradley E. & Lester R. Drewes. (2005). The Rat Blood—Brain Barrier Transcriptome. Journal of Cerebral Blood Flow & Metabolism. 26(7). 959–973. 165 indexed citations

11.

Enerson, Bradley E. & Lester R. Drewes. (2003). Molecular Features, Regulation, and Function of Monocarboxylate Transporters: Implications for Drug Delivery. Journal of Pharmaceutical Sciences. 92(8). 1531–1544. 161 indexed citations

12.

Froberg, M. Kent, et al.. (2001). Expression of monocarboxylate transporter MCT1 in normal and neoplastic human CNS tissues. Neuroreport. 12(4). 761–765. 72 indexed citations

13.

Leino, Richard L., David Z. Gerhart, Roman Duelli, Bradley E. Enerson, & Lester R. Drewes. (2001). Diet-induced ketosis increases monocarboxylate transporter (MCT1) levels in rat brain. Neurochemistry International. 38(6). 519–527. 182 indexed citations

14.

Duelli, Roman, Bradley E. Enerson, David Z. Gerhart, & Lester R. Drewes. (2000). Expression of Large Amino Acid Transporter LAT1 in Rat Brain Endothelium. Journal of Cerebral Blood Flow & Metabolism. 20(11). 1557–1562. 124 indexed citations

15.

Enerson, Bradley E., Olga Zhdankina, D. Z. Gerhart, & Lester R. Drewes. (1998). Monocarboxylic acid transporter 1 (MCT1) expression in developing rat brain. 12(5). 2 indexed citations

16.

Gerhart, David Z., Bradley E. Enerson, Olga Zhdankina, Richard L. Leino, & Lester R. Drewes. (1998). Expression of the monocarboxylate transporter MCT2 by rat brain glia. Glia. 22(3). 272–281. 12 indexed citations

17.

Gerhart, David Z., Bradley E. Enerson, Olga Zhdankina, Richard L. Leino, & Lester R. Drewes. (1998). Expression of the monocarboxylate transporter MCT2 by rat brain glia. Glia. 22(3). 272–281. 113 indexed citations

18.

Gerhart, D. Z., Bradley E. Enerson, Olga Zhdankina, Richard L. Leino, & Lester R. Drewes. (1997). Expression of monocarboxylate transporter MCT1 by brain endothelium and glia in adult and suckling rats. American Journal of Physiology-Endocrinology and Metabolism. 273(1). E207–E213. 257 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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