Temo Barwari

2.1k total citations
18 papers, 1.2k citations indexed

About

Temo Barwari is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Temo Barwari has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 9 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Temo Barwari's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Temo Barwari is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Temo Barwari collaborates with scholars based in United Kingdom, Austria and United States. Temo Barwari's co-authors include Manuel Mayr, Abhishek Joshi, Philipp Skroblin, Ruifang Lu, Xiaoke Yin, Anne H. van der Spek, Alexander P. de Porto, Jacqueline M. Lankelma, Nicholas Sunderland and Anna Zampetaki and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Temo Barwari

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Temo Barwari United Kingdom 13 737 700 183 137 105 18 1.2k
Haoxiao Zheng China 12 863 1.2× 562 0.8× 201 1.1× 135 1.0× 30 0.3× 23 1.2k
Jianyong Sun China 19 1.1k 1.5× 733 1.0× 49 0.3× 107 0.8× 118 1.1× 45 1.4k
Ming Keat Sng Singapore 13 418 0.6× 334 0.5× 253 1.4× 51 0.4× 154 1.5× 17 847
Javier Barallobre‐Barreiro United Kingdom 20 539 0.7× 335 0.5× 289 1.6× 216 1.6× 119 1.1× 34 1.1k
Martina Leopizzi Italy 21 763 1.0× 197 0.3× 119 0.7× 148 1.1× 273 2.6× 74 1.3k
Chuanyu Wei China 20 506 0.7× 287 0.4× 223 1.2× 115 0.8× 86 0.8× 38 1.1k
Tingliang Shen United States 9 475 0.6× 260 0.4× 117 0.6× 70 0.5× 83 0.8× 18 1.1k
Jack Heath United States 14 614 0.8× 167 0.2× 182 1.0× 136 1.0× 87 0.8× 20 1.2k
Zhuo Yang China 23 1.2k 1.6× 932 1.3× 57 0.3× 147 1.1× 325 3.1× 74 1.9k

Countries citing papers authored by Temo Barwari

Since Specialization
Citations

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

Fields of papers citing papers by Temo Barwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Temo Barwari. 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 Temo Barwari. The network helps show where Temo Barwari may publish in the future.

Co-authorship network of co-authors of Temo Barwari

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

All Works

18 of 18 papers shown
1.
Gutmann, Clemens, Temo Barwari, Christian Schulte, et al.. (2025). Platelets and inflammation—insights from platelet non-coding RNA content and release in the Bruneck study and the PACMAN-AMI trial. Cardiovascular Research. 121(9). 1392–1406.
2.
Barwari, Temo, Xiaoke Yin, Sarah R. Langley, et al.. (2023). Inhibition of miR-199a-3p in a murine hypertrophic cardiomyopathy (HCM) model attenuates fibrotic remodeling. SHILAP Revista de lepidopterología. 6. 100056–100056. 4 indexed citations
3.
Gutmann, Clemens, Temo Barwari, Christian Schulte, et al.. (2022). MicroRNA biomarkers of platelet function. Cardiovascular Research. 118(Supplement_1). 1 indexed citations
4.
Sangiao‐Alvarellos, Susana, Konstantinos Theofilatos, Temo Barwari, et al.. (2020). Metabolic recovery after weight loss surgery is reflected in serum microRNAs. BMJ Open Diabetes Research & Care. 8(2). e001441–e001441. 20 indexed citations
5.
Braza‐Boïls, Aitana, Temo Barwari, Clemens Gutmann, et al.. (2020). Circulating MicroRNA Levels Indicate Platelet and Leukocyte Activation in Endotoxemia Despite Platelet P2Y12 Inhibition. International Journal of Molecular Sciences. 21(8). 2897–2897. 17 indexed citations
6.
Schulte, Christian, Temo Barwari, Abhishek Joshi, Tanja Zeller, & Manuel Mayr. (2020). Noncoding RNAs versus Protein Biomarkers in Cardiovascular Disease. Trends in Molecular Medicine. 26(6). 583–596. 38 indexed citations
7.
Parker, William A., Christian Schulte, Temo Barwari, et al.. (2020). Aspirin, clopidogrel and prasugrel monotherapy in patients with type 2 diabetes mellitus: a double-blind randomised controlled trial of the effects on thrombotic markers and microRNA levels. Cardiovascular Diabetology. 19(1). 3–3. 31 indexed citations
8.
Schulte, Christian, Temo Barwari, Abhishek Joshi, et al.. (2019). Comparative Analysis of Circulating Noncoding RNAs Versus Protein Biomarkers in the Detection of Myocardial Injury. Circulation Research. 125(3). 328–340. 94 indexed citations
9.
McAloon, Christopher, Temo Barwari, Thomas Hamborg, et al.. (2018). Characterisation of circulating biomarkers before and after cardiac resynchronisation therapy and their role in predicting CRT response: the COVERT-HF study. Open Heart. 5(2). e000899–e000899. 6 indexed citations
10.
Fava, Marika, Javier Barallobre‐Barreiro, Ursula Mayr, et al.. (2018). Role of ADAMTS-5 in Aortic Dilatation and Extracellular Matrix Remodeling. Arteriosclerosis Thrombosis and Vascular Biology. 38(7). 1537–1548. 60 indexed citations
11.
Barwari, Temo, Seda Eminaga, Paul C. Armstrong, et al.. (2017). Abstract 19935: MicroRNA-21 Regulates Transforming Growth Factor Beta-1 Release From Platelets: A Novel Mechanism for the Anti-Fibrotic Effects of MicroRNA-21 Inhibition. Circulation. 1 indexed citations
12.
Sunderland, Nicholas, Philipp Skroblin, Temo Barwari, et al.. (2017). MicroRNA Biomarkers and Platelet Reactivity. Circulation Research. 120(2). 418–435. 146 indexed citations
13.
Barallobre‐Barreiro, Javier, Rahmi Öklü, Marika Fava, et al.. (2016). Extracellular matrix remodelling in response to venous hypertension: proteomics of human varicose veins. Cardiovascular Research. 110(3). 419–430. 44 indexed citations
14.
Barwari, Temo, Abhishek Joshi, & Manuel Mayr. (2016). MicroRNAs in Cardiovascular Disease. Journal of the American College of Cardiology. 68(23). 2577–2584. 351 indexed citations
15.
Willeit, Peter, Philipp Skroblin, Alexander R. Moschen, et al.. (2016). Circulating MicroRNA-122 Is Associated With the Risk of New-Onset Metabolic Syndrome and Type 2 Diabetes. Diabetes. 66(2). 347–357. 201 indexed citations
16.
Siegelaar, Sarah E., Temo Barwari, Jeroen Hermanides, et al.. (2013). Microcirculation and its relation to continuous subcutaneous glucose sensor accuracy in cardiac surgery patients in the intensive care unit. Journal of Thoracic and Cardiovascular Surgery. 146(5). 1283–1289. 22 indexed citations
17.
Siegelaar, Sarah E., Temo Barwari, Wim Kulik, J. B. L. Hoekstra, & J. Hans DeVries. (2011). No Relevant Relationship between Glucose Variability and Oxidative Stress in Well-Regulated Type 2 Diabetes Patients. Journal of Diabetes Science and Technology. 5(1). 86–92. 46 indexed citations
18.
Lankelma, Jacqueline M., Temo Barwari, Joris Koetsveld, et al.. (2009). Cathepsin L, target in cancer treatment?. Life Sciences. 86(7-8). 225–233. 140 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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