Afsar Rahbar

3.7k total citations
81 papers, 2.7k citations indexed

About

Afsar Rahbar is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, Afsar Rahbar has authored 81 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Epidemiology, 24 papers in Immunology and 13 papers in Oncology. Recurrent topics in Afsar Rahbar's work include Cytomegalovirus and herpesvirus research (73 papers), Herpesvirus Infections and Treatments (34 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers). Afsar Rahbar is often cited by papers focused on Cytomegalovirus and herpesvirus research (73 papers), Herpesvirus Infections and Treatments (34 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers). Afsar Rahbar collaborates with scholars based in Sweden, United States and Norway. Afsar Rahbar's co-authors include Cecilia Söderberg‐Nauclér, Giuseppe Stragliotto, Chato Taher, Inti Peredo, Koon-Chu Yaiw, Mensur Džabić, Abiel Orrego, Piotr Religa, Abdul‐Aleem Mohammad and Lennart Boström and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Afsar Rahbar

77 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Afsar Rahbar Sweden 30 1.8k 867 649 437 232 81 2.7k
L. Laroche France 34 1.6k 0.9× 1.8k 2.0× 890 1.4× 624 1.4× 445 1.9× 88 5.2k
Daniel J. Dairaghi United States 25 618 0.3× 1.4k 1.6× 951 1.5× 622 1.4× 129 0.6× 33 2.7k
Igor Resnick Israel 28 383 0.2× 795 0.9× 652 1.0× 612 1.4× 532 2.3× 91 2.7k
Sachiko Seo Japan 26 876 0.5× 610 0.7× 527 0.8× 1.0k 2.3× 181 0.8× 74 2.9k
Tetsuya Eto Japan 34 512 0.3× 1.1k 1.3× 886 1.4× 566 1.3× 645 2.8× 263 3.9k
Florian Weisel United States 21 456 0.3× 2.1k 2.5× 246 0.4× 630 1.4× 129 0.6× 27 3.0k
Andreas Limmer Germany 31 695 0.4× 2.2k 2.5× 642 1.0× 596 1.4× 45 0.2× 45 3.4k
Mark Birkenbach United States 29 783 0.4× 1.8k 2.1× 2.0k 3.0× 581 1.3× 71 0.3× 54 3.9k
R. B. Nussenblatt United States 23 387 0.2× 1.1k 1.2× 300 0.5× 432 1.0× 96 0.4× 45 2.8k
Wendy Peters United States 15 480 0.3× 1.9k 2.2× 574 0.9× 531 1.2× 61 0.3× 17 2.9k

Countries citing papers authored by Afsar Rahbar

Since Specialization
Citations

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

Fields of papers citing papers by Afsar Rahbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afsar Rahbar

This figure shows the co-authorship network connecting the top 25 collaborators of Afsar Rahbar. A scholar is included among the top collaborators of Afsar Rahbar 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 Afsar Rahbar. Afsar Rahbar 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.
Ahmad, Sajjad, et al.. (2025). Rational design of multi-epitope vaccine for Chandipura virus using an immunoinformatics approach. PLoS ONE. 20(10). e0335147–e0335147.
2.
Lattanzio, Rossano, Chato Taher, Faraz Bishehsari, et al.. (2023). Human cytomegalovirus infection enhances 5‑lipoxygenase and cycloxygenase‑2 expression in colorectal cancer. International Journal of Oncology. 63(5). 7 indexed citations
3.
4.
5.
Landázuri, Natalia, Jennifer Gorwood, Ylva Terelius, et al.. (2021). The Endothelin Receptor Antagonist Macitentan Inhibits Human Cytomegalovirus Infection. Cells. 10(11). 3072–3072. 1 indexed citations
6.
Senten, Jeffrey R. van, Maarten P. Bebelman, Raimond Heukers, et al.. (2019). The human cytomegalovirus-encoded G protein–coupled receptor UL33 exhibits oncomodulatory properties. Journal of Biological Chemistry. 294(44). 16297–16308. 23 indexed citations
7.
Vasaikar, Suhas, Natalia Landázuri, Helena Costa, et al.. (2018). Overexpression of endothelin B receptor in glioblastoma: a prognostic marker and therapeutic target?. BMC Cancer. 18(1). 154–154. 21 indexed citations
8.
Bártek, Jiří, Joanna Maria Merchut‐Maya, Apolinar Maya‐Mendoza, et al.. (2017). Replication stress, DNA damage signalling, and cytomegalovirus infection in human medulloblastomas. Molecular Oncology. 11(8). 945–964. 11 indexed citations
9.
10.
Rahbar, Afsar, Jenny Odeberg, Zahidul Islam Khan, et al.. (2015). Cytomegalovirus infection induces a stem cell phenotype in human primary glioblastoma cells: prognostic significance and biological impact. Cell Death and Differentiation. 23(2). 261–269. 53 indexed citations
11.
Mohammad, Abdul‐Aleem, Afsar Rahbar, Weng‐Onn Lui, et al.. (2014). Detection of Circulating hcmv-miR-UL112-3p in Patients with Glioblastoma, Rheumatoid Arthritis, Diabetes Mellitus and Healthy Controls. PLoS ONE. 9(12). e113740–e113740. 32 indexed citations
12.
Bénard, Mélinda, Kaoutar Leghmari, Julien Bertrand, et al.. (2014). Human cytomegalovirus infection induces leukotriene B4 and 5-lipoxygenase expression in human placentae and umbilical vein endothelial cells. Placenta. 35(6). 345–350. 17 indexed citations
13.
Butler, Lynn M., Mensur Džabić, Frank Bakker, et al.. (2014). Human Cytomegalovirus Inhibits Erythropoietin Production. Journal of the American Society of Nephrology. 25(8). 1669–1678. 8 indexed citations
14.
Taher, Chato, Piotr Religa, Helena Costa, et al.. (2014). High Prevalence of Human Cytomegalovirus in Brain Metastases of Patients with Primary Breast and Colorectal Cancers. Translational Oncology. 7(6). 732–740. 60 indexed citations
15.
Rahbar, Afsar, Giuseppe Stragliotto, Abiel Orrego, et al.. (2012). Low levels of Human Cytomegalovirus Infection in Glioblastoma multiforme associates with patient survival; -a case-control study. PubMed. 3(1). 3–3. 71 indexed citations
16.
Qiu, Hong, Klas Strååt, Afsar Rahbar, et al.. (2008). Human CMV infection induces 5-lipoxygenase expression and leukotriene B4 production in vascular smooth muscle cells. The Journal of Experimental Medicine. 205(1). 19–24. 61 indexed citations
17.
Džabić, Mensur, et al.. (2007). High prevalence of an active human cytomegalovirus infection in patients with colonic diverticulitis. Journal of Clinical Virology. 40(2). 116–119. 9 indexed citations
18.
Fasth, Andreas E. R., Omri Snir, Birgitta Nordmark, et al.. (2007). Skewed distribution of proinflammatory CD4+CD28nullT cells in rheumatoid arthritis. Arthritis Research & Therapy. 9(5). R87–R87. 67 indexed citations
19.
Skarman, Petra, Afsar Rahbar, Xun Xie, & Cecilia Söderberg‐Nauclér. (2006). Induction of polymorphonuclear leukocyte response by human cytomegalovirus. Microbes and Infection. 8(6). 1592–1601. 20 indexed citations
20.
Rahbar, Afsar, Lennart Boström, U. Lagerstedt, et al.. (2003). Evidence of Active Cytomegalovirus Infection and Increased Production of IL-6 in Tissue Specimens Obtained From Patients With Inflammatory Bowel Diseases. Inflammatory Bowel Diseases. 9(3). 154–161. 80 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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