John R. Barber

902 total citations
40 papers, 652 citations indexed

About

John R. Barber is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, John R. Barber has authored 40 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in John R. Barber's work include Prostate Cancer Treatment and Research (13 papers), Telomeres, Telomerase, and Senescence (5 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). John R. Barber is often cited by papers focused on Prostate Cancer Treatment and Research (13 papers), Telomeres, Telomerase, and Senescence (5 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). John R. Barber collaborates with scholars based in United States, Switzerland and Canada. John R. Barber's co-authors include Elizabeth A. Platz, Corinne E. Joshu, Angelo M. De Marzo, Anna E. Prizment, Jiayun Lu, Karen S. Sfanos, Dominique S. Michaud, James D. Beck, Steven Offenbacher and İbrahim Kulaç and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Nutrients.

In The Last Decade

John R. Barber

35 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. Barber United States 15 220 174 169 142 101 40 652
E. Patsouris Greece 15 65 0.3× 186 1.1× 186 1.1× 76 0.5× 28 0.3× 50 719
Feng Zhan China 18 281 1.3× 318 1.8× 422 2.5× 215 1.5× 14 0.1× 68 1.0k
Nicoletta Tradati Italy 12 91 0.4× 192 1.1× 144 0.9× 51 0.4× 115 1.1× 17 789
John R. Houck United States 16 161 0.7× 138 0.8× 330 2.0× 179 1.3× 44 0.4× 22 771
Cheng-Wen Hsiao Taiwan 15 155 0.7× 279 1.6× 255 1.5× 188 1.3× 15 0.1× 40 983
Radosław Mlak Poland 17 286 1.3× 250 1.4× 285 1.7× 179 1.3× 9 0.1× 109 892
Jean‐Nicolas Gallant United States 13 142 0.6× 155 0.9× 192 1.1× 89 0.6× 8 0.1× 43 580
Kazuo Okadome Japan 12 272 1.2× 564 3.2× 264 1.6× 136 1.0× 15 0.1× 24 996
N. Stafford United Kingdom 15 134 0.6× 233 1.3× 250 1.5× 156 1.1× 7 0.1× 44 716
Leonard A. Arbeit United States 13 106 0.5× 63 0.4× 88 0.5× 126 0.9× 8 0.1× 19 551

Countries citing papers authored by John R. Barber

Since Specialization
Citations

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

Fields of papers citing papers by John R. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Barber. 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 John R. Barber. The network helps show where John R. Barber may publish in the future.

Co-authorship network of co-authors of John R. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Barber. A scholar is included among the top collaborators of John R. Barber 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 John R. Barber. John R. Barber 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
2.
Schreiber, John M., Wei-Liang Chen, John R. Barber, et al.. (2024). Unraveling the Link: Seizure Characteristics and Ammonia Levels in Urea Cycle Disorder During Hyperammonemic Crises. Pediatric Neurology. 159. 48–55.
3.
Barber, John R., et al.. (2024). Lead Longevity in Pediatric and Congenital Heart Disease Patients. JACC. Clinical electrophysiology. 11(1). 132–142.
4.
Murali, Chaya N., John R. Barber, Robert McCarter, et al.. (2023). Health-related quality of life in a systematically assessed cohort of children and adults with urea cycle disorders. Molecular Genetics and Metabolism. 140(3). 107696–107696. 4 indexed citations
5.
Barber, John R., et al.. (2023). Social support, resource utilization, and well-being: a survey of adolescent parents in Washington, DC. BMC Public Health. 23(1). 1278–1278. 1 indexed citations
6.
Heaphy, Christopher M., Corinne E. Joshu, John R. Barber, et al.. (2022). The prostate tissue‐based telomere biomarker as a prognostic tool for metastasis and death from prostate cancer after prostatectomy. The Journal of Pathology Clinical Research. 8(5). 481–491. 6 indexed citations
7.
Heaphy, Christopher M., İbrahim Kulaç, Nathan Cuka, et al.. (2020). High Extratumoral Mast Cell Counts Are Associated with a Higher Risk of Adverse Prostate Cancer Outcomes. Cancer Epidemiology Biomarkers & Prevention. 29(3). 668–675. 14 indexed citations
8.
Joshu, Corinne E., Christopher M. Heaphy, John R. Barber, et al.. (2020). Obesity is Associated with Shorter Telomere Length in Prostate Stromal Cells in Men with Aggressive Prostate Cancer. Cancer Prevention Research. 14(4). 463–470. 4 indexed citations
9.
Heaphy, Christopher M., Corinne E. Joshu, John R. Barber, et al.. (2020). Racial Difference in Prostate Cancer Cell Telomere Lengths in Men with Higher Grade Prostate Cancer: A Clue to the Racial Disparity in Prostate Cancer Outcomes. Cancer Epidemiology Biomarkers & Prevention. 29(3). 676–680. 11 indexed citations
10.
Chen, Maxine, Jaquelyn L. Jahn, John R. Barber, et al.. (2020). Clinical stage provides useful prognostic information even after pathological stage is known for prostate cancer in the PSA era. PLoS ONE. 15(6). e0234391–e0234391.
11.
Wang, Anqi, John R. Barber, Adrienne Tin, et al.. (2019). Serum Urate, Genetic Variation, and Prostate Cancer Risk: Atherosclerosis Risk in Communities (ARIC) Study. Cancer Epidemiology Biomarkers & Prevention. 28(7). 1259–1261. 8 indexed citations
12.
Kaur, Harsimar, Jiayun Lu, Liana B. Guedes, et al.. (2019). TP53 missense mutation is associated with increased tumor-infiltrating T cells in primary prostate cancer. Human Pathology. 87. 95–102. 34 indexed citations
13.
Han, Peijin, Aurelian Bidulescu, John R. Barber, et al.. (2019). Dietary choline and betaine intakes and risk of total and lethal prostate cancer in the Atherosclerosis Risk in Communities (ARIC) Study. Cancer Causes & Control. 30(4). 343–354. 14 indexed citations
14.
Lu, Jiayun, John R. Barber, Corinne E. Joshu, et al.. (2019). SES and correlated factors do not explain the association between periodontal disease, edentulism, and cancer risk. Annals of Epidemiology. 38. 35–41. 6 indexed citations
15.
Platz, Elizabeth A., John R. Barber, Jiayun Lu, et al.. (2019). Nationally Representative Estimates of Serum Testosterone Concentration in Never-Smoking, Lean Men Without Aging-Associated Comorbidities. Journal of the Endocrine Society. 3(10). 1759–1770. 13 indexed citations
16.
Mondul, Alison M., Corinne E. Joshu, John R. Barber, et al.. (2018). Longer-term Lipid-lowering Drug Use and Risk of Incident and Fatal Prostate Cancer in Black and White Men in the ARIC Study. Cancer Prevention Research. 11(12). 779–788. 24 indexed citations
17.
Marrone, Michael, Elizabeth Selvin, John R. Barber, Elizabeth A. Platz, & Corinne E. Joshu. (2018). Hyperglycemia, Classified with Multiple Biomarkers Simultaneously in Men without Diabetes, and Risk of Fatal Prostate Cancer. Cancer Prevention Research. 12(2). 103–112. 18 indexed citations
18.
Hurwitz, Lauren M., Corinne E. Joshu, John R. Barber, et al.. (2018). Aspirin and Non-Aspirin NSAID Use and Prostate Cancer Incidence, Mortality, and Case Fatality in the Atherosclerosis Risk in Communities Study. Cancer Epidemiology Biomarkers & Prevention. 28(3). 563–569. 24 indexed citations
19.
Kaur, Harsimar, Liana B. Guedes, Jiayun Lu, et al.. (2018). Association of tumor-infiltrating T-cell density with molecular subtype, racial ancestry and clinical outcomes in prostate cancer. Modern Pathology. 31(10). 1539–1552. 68 indexed citations
20.
Cuka, Nathan, İbrahim Kulaç, John R. Barber, et al.. (2016). Low Intratumoral Mast Cells Are Associated With a Higher Risk of Prostate Cancer Recurrence. The Prostate. 77(4). 412–424. 48 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026