Bashar Dabbas

1.1k total citations
22 papers, 559 citations indexed

About

Bashar Dabbas is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Bashar Dabbas has authored 22 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Hematology. Recurrent topics in Bashar Dabbas's work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Bashar Dabbas is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Bashar Dabbas collaborates with scholars based in United States, Canada and Switzerland. Bashar Dabbas's co-authors include Clyde D. Ford, Kevin A. Strait, Elizabeth H. Hammond, Matthew J. McGinniss, Prashanti Reddy, Brian Kwok, Keming Lin, Yin Xu, Jeff Hall and Christine Vaupel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Bashar Dabbas

21 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bashar Dabbas United States 9 221 211 124 124 95 22 559
Claire Curtis United Kingdom 7 138 0.6× 154 0.7× 62 0.5× 177 1.4× 49 0.5× 9 475
Feier Feng China 11 167 0.8× 122 0.6× 58 0.5× 147 1.2× 42 0.4× 26 446
Zineb Hamilou Canada 6 408 1.8× 265 1.3× 36 0.3× 238 1.9× 134 1.4× 18 652
T Flores Spain 9 124 0.6× 232 1.1× 38 0.3× 112 0.9× 90 0.9× 21 570
Marie Jarošová Czechia 17 354 1.6× 264 1.3× 35 0.3× 301 2.4× 88 0.9× 87 766
Atsushi Shinagawa Japan 13 208 0.9× 142 0.7× 34 0.3× 112 0.9× 39 0.4× 39 446
Stéphanie Struski France 16 171 0.8× 264 1.3× 23 0.2× 134 1.1× 84 0.9× 30 596
Nel R. Blom Netherlands 11 405 1.8× 130 0.6× 56 0.5× 122 1.0× 30 0.3× 22 600
Matthias Bartenstein United States 8 252 1.1× 387 1.8× 62 0.5× 125 1.0× 196 2.1× 16 661
Leonardo Boiocchi United States 16 339 1.5× 163 0.8× 54 0.4× 299 2.4× 27 0.3× 29 610

Countries citing papers authored by Bashar Dabbas

Since Specialization
Citations

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

Fields of papers citing papers by Bashar Dabbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bashar Dabbas

This figure shows the co-authorship network connecting the top 25 collaborators of Bashar Dabbas. A scholar is included among the top collaborators of Bashar Dabbas 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 Bashar Dabbas. Bashar Dabbas 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.
Necchi, Andrea, Joep J. de Jong, Daniele Raggi, et al.. (2021). Molecular Characterization of Residual Bladder Cancer after Neoadjuvant Pembrolizumab. European Urology. 80(2). 149–159. 19 indexed citations
2.
Grivas, Petros, Tarek A. Bismar, Roland Seiler, et al.. (2019). Validation of a neuroendocrine-like classifier confirms poor outcomes in patients with bladder cancer treated with cisplatin-based neoadjuvant chemotherapy. Urologic Oncology Seminars and Original Investigations. 38(4). 262–268. 22 indexed citations
3.
Johnson, Douglas B., Jennifer Bordeaux, Ju‐Young Kim, et al.. (2017). Quantitative spatial profiling of PD-1/PD-L1 interaction and HLA-DR/IDO1 to predict outcomes to anti-PD-1 in metastatic melanoma (MM).. Journal of Clinical Oncology. 35(15_suppl). 9517–9517. 2 indexed citations
4.
Siska, Peter J., Romany Johnpulle, Alice Y. Zhou, et al.. (2017). Deep exploration of the immune infiltrate and outcome prediction in testicular cancer by quantitative multiplexed immunohistochemistry and gene expression profiling. OncoImmunology. 6(4). e1305535–e1305535. 59 indexed citations
5.
Bordeaux, Jennifer, Douglas B. Johnson, Jeffrey A. Sosman, et al.. (2016). Abstract 853: Novel quantitative multiplexed PD-1/PD-L1 immunohistochemistry test provides superior prediction of treatment response in melanoma patients. Cancer Research. 76(14_Supplement). 853–853. 1 indexed citations
6.
Kwok, Brian, Jeff Hall, John S. Witte, et al.. (2015). MDS-associated somatic mutations and clonal hematopoiesis are common in idiopathic cytopenias of undetermined significance. Blood. 126(21). 2355–2361. 213 indexed citations
8.
Hall, Jeff, Bashar Dabbas, Christine Vaupel, et al.. (2014). Somatic Mutations Indicative of Clonal Hematopoiesis Are Present in a Large Fraction of Cytopenic Patients Who Lack Diagnostic Evidence of MDS. Blood. 124(21). 3272–3272. 7 indexed citations
9.
11.
Christiansen, Jason, Nashwa Barakat, Derek Murphy, et al.. (2012). Abstract PD02-01: Her2 expression measured by AQUA analysis on BCIRG-005 and BCIRG-006 predicts the benefit of Herceptin therapy. Cancer Research. 72(24_Supplement). PD02–1. 1 indexed citations
13.
Ford, Clyde D., et al.. (2006). False-Positive Restaging PET Scans Involving the Spleen in Two Patients With Aggressive Non-Hodgkin Lymphoma. Clinical Nuclear Medicine. 31(7). 391–393. 16 indexed citations
14.
Hammond, M. Elizabeth H., Josef Stehlik, Gregory L. Snow, et al.. (2005). Utility of Histologic Parameters in Screening for Antibody-Mediated Rejection of the Cardiac Allograft: A Study of 3,170 Biopsies. The Journal of Heart and Lung Transplantation. 24(12). 2015–2021. 43 indexed citations
15.
Kfoury, Abdallah G., Josef Stehlik, Dale G. Renlund, et al.. (2005). Cardiovascular deaths in heart transplant recipients: Does the rejection pattern matter?. The Journal of Heart and Lung Transplantation. 24(2). S43–S44. 2 indexed citations
17.
Alharethi, Rami, Robert E. Shaddy, Donald B. Doty, et al.. (2004). Early failure of a tricuspid valve replacement with a mitral valve homograft in a heart transplant recipient. The Journal of Heart and Lung Transplantation. 23(12). 1460–1462. 2 indexed citations
18.
Dabbas, Bashar, et al.. (2003). Cell type-dependent regulation of hMLH1 promoter activity is influenced by the presence of multiple redundant elements.. PubMed. 1(8). 610–8. 6 indexed citations
19.
Strait, Kevin A., et al.. (2002). Cell cycle blockade and differentiation of ovarian cancer cells by the histone deacetylase inhibitor trichostatin A are associated with changes in p21, Rb, and Id proteins.. PubMed. 1(13). 1181–90. 65 indexed citations
20.
Dabbas, Bashar, et al.. (2001). Identification of a p53 Response Element in the Promoter Region of the hMSH2 Gene Required for Expression in A2780 Ovarian Cancer Cells. Journal of Biological Chemistry. 276(29). 27363–27370. 46 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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