Mohammad Ali Hajebrahimi

554 total citations
7 papers, 73 citations indexed

About

Mohammad Ali Hajebrahimi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Mohammad Ali Hajebrahimi has authored 7 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Cardiology and Cardiovascular Medicine and 1 paper in Genetics. Recurrent topics in Mohammad Ali Hajebrahimi's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). Mohammad Ali Hajebrahimi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). Mohammad Ali Hajebrahimi collaborates with scholars based in Iran, Germany and Belgium. Mohammad Ali Hajebrahimi's co-authors include Fereidoun Azizi, Farzad Hadaegh, Maryam Tohidi, Arash Derakhshan, Navid Saadat, Steffen Maßberg, Qurrat Ul Ain, David Stegner, Christian Schulz and Tong Xiao and has published in prestigious journals such as Blood, Diabetic Medicine and International Journal of Cardiology.

In The Last Decade

Mohammad Ali Hajebrahimi

7 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Ali Hajebrahimi Iran 6 27 23 20 17 12 7 73
Z. Turki Tunisia 7 8 0.3× 53 2.3× 9 0.5× 13 0.8× 21 1.8× 22 122
Catherine A. Welgan United States 2 29 1.1× 2 0.1× 18 0.9× 22 1.3× 11 0.9× 2 75
Peipei Kang China 6 7 0.3× 22 1.0× 20 1.0× 11 0.6× 16 1.3× 10 106
Jason Schairer United States 6 25 0.9× 21 0.9× 2 0.1× 6 0.4× 13 1.1× 12 96
Maria del Carmen Rodrı́guez-Zepeda Mexico 5 6 0.2× 5 0.2× 28 1.4× 7 0.4× 7 0.6× 8 80
Gemma Browne Ireland 5 7 0.3× 3 0.1× 8 0.4× 10 0.6× 18 1.5× 8 97
David Davidson United States 5 12 0.4× 16 0.7× 24 1.2× 48 2.8× 33 2.8× 8 107
R Cimino Italy 4 5 0.2× 5 0.2× 17 0.8× 26 1.5× 11 0.9× 13 56
Elżbieta Kuźma-Mroczkowska Poland 6 13 0.5× 2 0.1× 7 0.3× 5 0.3× 9 0.8× 11 77
Antonio Rico Cano Spain 3 6 0.2× 58 2.5× 10 0.5× 7 0.4× 6 75

Countries citing papers authored by Mohammad Ali Hajebrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali Hajebrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ali Hajebrahimi. 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 Mohammad Ali Hajebrahimi. The network helps show where Mohammad Ali Hajebrahimi may publish in the future.

Co-authorship network of co-authors of Mohammad Ali Hajebrahimi

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

All Works

7 of 7 papers shown
1.
Liu, Wenli, Joachim Pircher, Art Schuermans, et al.. (2023). Jak2 V617F clonal hematopoiesis promotes arterial thrombosis via platelet activation and cross talk. Blood. 143(15). 1539–1550. 30 indexed citations
2.
Zacherl, Mathias J., Andrei Todica, Carmen Wängler, et al.. (2020). Molecular imaging of cardiac CXCR4 expression in a mouse model of acute myocardial infarction using a novel 68Ga-mCXCL12 PET tracer. Journal of Nuclear Cardiology. 28(6). 2965–2975. 6 indexed citations
3.
Ramezankhani, Azra, Solmaz Ehteshami‐Afshar, Mitra Hasheminia, et al.. (2018). Optimum cutoff values of anthropometric indices of obesity for predicting hypertension: more than one decades of follow-up in an Iranian population. Journal of Human Hypertension. 32(12). 838–848. 7 indexed citations
4.
Hajebrahimi, Mohammad Ali, et al.. (2017). Different combinations of glucose tolerance and blood pressure status and incident cardiovascular disease and all-cause mortality events. Journal of Human Hypertension. 31(11). 744–749. 5 indexed citations
5.
Derakhshan, Arash, Maryam Tohidi, Mohammad Ali Hajebrahimi, et al.. (2016). Sex‐specific incidence rates and risk factors of insulin resistance and β–cell dysfunction: a decade follow‐up in a Middle Eastern population. Diabetic Medicine. 34(2). 245–252. 17 indexed citations
7.
Mirbolouk, Mohammadhassan, Mohammad Ali Hajebrahimi, Samaneh Akbarpour, et al.. (2015). Different glucose tolerance status and incident cardiovascular disease and all‐cause mortality among elderly Iranians. Geriatrics and gerontology international. 16(12). 1263–1271. 2 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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