Sahar Tavakoli

805 total citations · 1 hit paper
27 papers, 519 citations indexed

About

Sahar Tavakoli is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Sahar Tavakoli has authored 27 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Hematology. Recurrent topics in Sahar Tavakoli's work include Hematopoietic Stem Cell Transplantation (3 papers), Gut microbiota and health (3 papers) and Bayesian Methods and Mixture Models (2 papers). Sahar Tavakoli is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Gut microbiota and health (3 papers) and Bayesian Methods and Mixture Models (2 papers). Sahar Tavakoli collaborates with scholars based in Iran, United States and United Kingdom. Sahar Tavakoli's co-authors include Emily M. King, Kim A. Lagerborg, Simon Ye, Mohammadsharif Tabebordbar, Pardis C. Sabeti, Alexandra C. Stanton, Emily C. Troiano, Amy J. Wagers, Kathleen A. Messemer and Jeffrey J. Widrick and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Bioinformatics.

In The Last Decade

Sahar Tavakoli

26 papers receiving 504 citations

Hit Papers

Directed evolution of a family of AAV capsid variants ena... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar Tavakoli Iran 11 306 202 61 49 46 27 519
Beth McCullough United States 4 467 1.5× 495 2.5× 95 1.6× 43 0.9× 123 2.7× 5 671
Hu Sheng Qian United States 12 357 1.2× 279 1.4× 78 1.3× 78 1.6× 72 1.6× 17 683
Sonia Dávila Singapore 14 340 1.1× 408 2.0× 42 0.7× 15 0.3× 55 1.2× 22 859
Xuehai Ye United States 11 546 1.8× 533 2.6× 45 0.7× 35 0.7× 129 2.8× 17 763
Zhenning He United States 14 826 2.7× 470 2.3× 98 1.6× 56 1.1× 84 1.8× 23 1.0k
Deirdre McMenamin United States 8 688 2.2× 441 2.2× 61 1.0× 36 0.7× 90 2.0× 14 816
Shirley Tsang United States 15 379 1.2× 126 0.6× 22 0.4× 31 0.6× 210 4.6× 29 910
Camilo Breton United States 10 360 1.2× 255 1.3× 56 0.9× 10 0.2× 57 1.2× 13 464
Richard Van Rheeden United States 9 265 0.9× 120 0.6× 17 0.3× 19 0.4× 45 1.0× 10 398
John White United States 6 576 1.9× 308 1.5× 54 0.9× 20 0.4× 48 1.0× 9 659

Countries citing papers authored by Sahar Tavakoli

Since Specialization
Citations

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

Fields of papers citing papers by Sahar Tavakoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Tavakoli

This figure shows the co-authorship network connecting the top 25 collaborators of Sahar Tavakoli. A scholar is included among the top collaborators of Sahar Tavakoli 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 Sahar Tavakoli. Sahar Tavakoli 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.
Tavakoli, Sahar, Amir Kasaeian, Seyed Ali Mousavi, et al.. (2023). Comparable Outcomes of Pre- Versus Post-Tyrosine Kinase Inhibitor Era Treatment in Chronic Myeloid Leukemia: A Retrospective Cohort Study With Long-term Follow-up. Cell Transplantation. 32. 4231221068–4231221068. 2 indexed citations
2.
Tavakoli, Sahar, Isaac Adatto, Kathleen A. Messemer, et al.. (2023). Transplantation-based screen identifies inducers of muscle progenitor cell engraftment across vertebrate species. Cell Reports. 42(4). 112365–112365. 2 indexed citations
3.
Tavakoli, Sahar, et al.. (2023). Effects of Photobiomodulation With Two Wavelengths of 630 and 810 nm on Diabetic Neuropathy. Journal of lasers in medical sciences. 14. e22–e22. 5 indexed citations
5.
Yooseph, Shibu & Sahar Tavakoli. (2022). Variational Approximation-Based Model Selection for Microbial Network Inference. Journal of Computational Biology. 29(7). 724–737. 1 indexed citations
6.
Tavakoli, Sahar, Shiwen Zhu, & Paul Matsudaira. (2022). Cell clusters containing intestinal stem cells, line the zebrafish intestine intervillus pocket. iScience. 25(5). 104280–104280. 9 indexed citations
7.
Tabebordbar, Mohammadsharif, Kim A. Lagerborg, Alexandra C. Stanton, et al.. (2021). Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species. Cell. 184(19). 4919–4938.e22. 292 indexed citations breakdown →
8.
Mousavi, Seied Asadollah, et al.. (2021). Skin Manifestations as Early Presenting Symptom of COVID-19 in Acute Myeloid Leukemia. 8(3). 80–84. 1 indexed citations
9.
Bhattacharya, Dipanjan, et al.. (2021). Strain maps characterize the symmetry of convergence and extension patterns during zebrafish gastrulation. Scientific Reports. 11(1). 19357–19357. 9 indexed citations
10.
Mousavi, Seied Asadollah, et al.. (2020). Guidance for Facing Dilemmas of Hematopoietic Stem Cell Transplant Clinicians in the Coronavirus Disease 2019 (COVID-19) Pandemic: An Iranian Consensus. Mediterranean Journal of Hematology and Infectious Diseases. 12(1). e2020050–e2020050. 3 indexed citations
11.
Weeks, Olivia, Gabriel D. Bossé, Isaac M. Oderberg, et al.. (2020). Fetal alcohol spectrum disorder predisposes to metabolic abnormalities in adulthood. Journal of Clinical Investigation. 130(5). 2252–2269. 36 indexed citations
12.
Mousavi, Seied Asadollah, Amir Kasaeian, Ardeshir Ghavamzadeh, et al.. (2019). Assessing the prognostic factors, survival, and recurrence incidence of triple negative breast cancer patients, a single center study in Iran. PLoS ONE. 14(1). e0208701–e0208701. 12 indexed citations
13.
Tavakoli, Sahar & Shibu Yooseph. (2019). Learning a mixture of microbial networks using minorization–maximization. Bioinformatics. 35(14). i23–i30. 15 indexed citations
14.
Ghaffari, Javad, et al.. (2016). The Prevalence of Allergic Rhinitis, Eczema and Asthma in Students of Guidance Schools in Mazandaran Province, Iran. Open Access Macedonian Journal of Medical Sciences. 4(4). 619–623. 12 indexed citations
15.
Agah, Shahram, et al.. (2014). Central venous pressure catheter for large-volume paracentesis in refractory ascites. Indian Journal of Gastroenterology. 33(4). 310–315. 3 indexed citations
16.
Omidvar, Babak, et al.. (2011). Seismic Risk Analysis of Metropolitan Tehran: A Link Between Hazard Analysis, Vulnerability Assessment and Loss Estimation Studies. Journal of seismology and earthquake engineering. 13(2). 117–137. 2 indexed citations
17.
Hartatik, Tety, et al.. (2010). The Study of PIT1 Gene Polymorphism in the Najdi Cattle Using PCR-RFLP Method. Journal of Animal and Veterinary Advances. 9(15). 2001–2003. 15 indexed citations
18.
Papiha, S.S., et al.. (1992). Population genetics of the people of Iran II. Genetic differentiation and population structure. International Journal of Anthropology. 7(3). 11–18. 4 indexed citations
19.
Sunderland, E., et al.. (1989). Serum Proteins and Erythrocyte Enzymes of Populations in Iran. Human Heredity. 39(2). 75–80. 18 indexed citations
20.
Sahraei, Hedayat, et al.. (1978). Tf, Gc and Cp phenotypes in favism and G-6-PD deficiency.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 68. 990–4. 1 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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