Laith Dabbagh

1.8k total citations
23 papers, 1.3k citations indexed

About

Laith Dabbagh is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Laith Dabbagh has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Genetics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Laith Dabbagh's work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (3 papers). Laith Dabbagh is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (3 papers). Laith Dabbagh collaborates with scholars based in Canada, France and India. Laith Dabbagh's co-authors include Raymond Lai, John R. Mackey, Halyna Marusyk, Damyanti Bhardwaj, Donald W. Morrish, Charles Dumontet, Manijeh Pasdar, Judith Hugh, Jennifer J. Rahn and Carol E. Cass and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Laith Dabbagh

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laith Dabbagh Canada 15 549 546 212 194 160 23 1.3k
Trevor G. Shepherd Canada 26 1.1k 2.1× 644 1.2× 157 0.7× 192 1.0× 406 2.5× 64 1.8k
Elaine Hsuen Lim Singapore 21 454 0.8× 454 0.8× 201 0.9× 266 1.4× 288 1.8× 54 1.1k
Stephanie M. McGregor United States 18 490 0.9× 345 0.6× 148 0.7× 374 1.9× 245 1.5× 52 1.3k
Agnes S. Lo United States 20 418 0.8× 505 0.9× 599 2.8× 109 0.6× 100 0.6× 28 1.4k
Sriram Balasubramanian United States 21 1.1k 2.1× 754 1.4× 365 1.7× 126 0.6× 87 0.5× 61 2.0k
Tanja Pejović United States 29 1.1k 2.0× 595 1.1× 254 1.2× 192 1.0× 641 4.0× 107 2.7k
Shunsuke Yanoma Japan 21 417 0.8× 503 0.9× 215 1.0× 174 0.9× 323 2.0× 53 1.2k
Sandra J. Friezner Degen United States 22 681 1.2× 162 0.3× 367 1.7× 99 0.5× 188 1.2× 43 1.8k
Jérôme Giustiniani France 21 259 0.5× 456 0.8× 922 4.3× 50 0.3× 117 0.7× 45 1.4k
Sanaz Memarzadeh United States 23 1.1k 1.9× 918 1.7× 345 1.6× 439 2.3× 424 2.6× 60 2.3k

Countries citing papers authored by Laith Dabbagh

Since Specialization
Citations

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

Fields of papers citing papers by Laith Dabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laith Dabbagh

This figure shows the co-authorship network connecting the top 25 collaborators of Laith Dabbagh. A scholar is included among the top collaborators of Laith Dabbagh 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 Laith Dabbagh. Laith Dabbagh 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.
Lai, Raymond, et al.. (2010). Survival in rectal cancer is predicted by T cell infiltration of tumour-associated lymphoid nodules. Clinical & Experimental Immunology. 161(1). 81–88. 52 indexed citations
2.
Tsang, Roger Y., C.L. Santos, Sunita Ghosh, et al.. (2008). Immunohistochemistry for human concentrative nucleoside transporter 3 protein predicts fludarabine sensitivity in chronic lymphocytic leukemia. Modern Pathology. 21(11). 1387–1393. 11 indexed citations
3.
Sève, P., Raymond Lai, Keyue Ding, et al.. (2007). Class III β-Tubulin Expression and Benefit from Adjuvant Cisplatin/Vinorelbine Chemotherapy in Operable Non–Small Cell Lung Cancer: Analysis of NCIC JBR.10. Clinical Cancer Research. 13(3). 994–999. 124 indexed citations
4.
Sève, P., Tony Reiman, Raymond Lai, et al.. (2006). Class III β-tubulin is a marker of paclitaxel resistance in carcinomas of unknown primary site. Cancer Chemotherapy and Pharmacology. 60(1). 27–34. 44 indexed citations
6.
Chow, Laura Q.M., Raymond Lai, Laith Dabbagh, et al.. (2004). Analysis of human equilibrative nucleoside transporter 1 (hENT1) protein in non-Hodgkin's lymphoma by immunohistochemistry. Modern Pathology. 18(4). 558–564. 16 indexed citations
8.
Dabbagh, Laith, Robert Coupland, Carol E. Cass, & John R. Mackey. (2003). Correspondence Re: J. R. Mackey et al., ImmunohistochemicalVariation of Human Equilibrative Nucleoside Transporter 1 Protein inPrimary Breast Cancers. Clin. Cancer Res., 8: 110ndash;116, 2002.. Clinical Cancer Research. 9(8). 3213–3214. 13 indexed citations
9.
Boonstra, Ronald, Anneke Bosga-Bouwer, Gustaaf W. van Imhoff, et al.. (2003). Splenic Marginal Zone Lymphomas Presenting with Splenomegaly and Typical Immunophenotype Are Characterized by Allelic Loss in 7q31–32. Modern Pathology. 16(12). 1210–1217. 21 indexed citations
10.
Reiman, Tony, Marilyn L. Clarke, Laith Dabbagh, et al.. (2002). Differential Expression of Human Equilibrative Nucleoside Transporter 1 (hENT1) Protein in the Reed-Sternberg Cells of Hodgkin's Disease. Leukemia & lymphoma. 43(7). 1435–1440. 14 indexed citations
11.
Rahn, Jennifer J., Laith Dabbagh, Manijeh Pasdar, & Judith Hugh. (2001). The importance of MUC1 cellular localization in patients with breast carcinoma. Cancer. 91(11). 1973–1982. 202 indexed citations
12.
Lai, Raymond, et al.. (2000). Sinusoidal CD30-Positive Large B-Cell Lymphoma: A Morphologic Mimic of Anaplastic Large Cell Lymphoma. Modern Pathology. 13(3). 223–228. 34 indexed citations
13.
Lai, Raymond, Loree Larratt, Wai S. Etches, et al.. (2000). Hepatosplenic T-Cell Lymphoma of αβ Lineage in a 16-Year-Old Boy Presenting With Hemolytic Anemia and Thrombocytopenia. The American Journal of Surgical Pathology. 24(3). 459–463. 30 indexed citations
15.
Godbout, Roseline, Mary Packer, Sibrand Poppema, & Laith Dabbagh. (1996). Localization of cytosolic aldehyde dehydrogenase in the developing chick retina: In situ hybridization and immunohistochemical analyses. Developmental Dynamics. 205(3). 319–331. 29 indexed citations
16.
Godbout, Roseline, Halyna Marusyk, Dwayne A. Bisgrove, Laith Dabbagh, & Sibrand Poppema. (1995). Localization of a fatty acid binding protein and its transcript in the developing chick retina. Experimental Eye Research. 60(6). 645–657. 21 indexed citations
17.
Poppema, S, et al.. (1994). DNA CYTOMETRY - DIPLOID STANDARD AND SECTION THICKNESS - REPLY. American Journal of Clinical Pathology. 102(4). 559–559. 1 indexed citations
18.
Dabbagh, Laith, et al.. (1993). DNA Analysis (Ploidy) of Molar Pregnancies With Image Analysis on Paraffin Tissue Sections. American Journal of Clinical Pathology. 100(4). 451–455. 17 indexed citations
19.
Visser, Lydia, Laith Dabbagh, & Sibrand Poppema. (1992). Reactivity of monoclonal antibody B-ly7 with a subset of activated T cells and T-cell lymphomas.. PubMed. 6(1). 37–42. 4 indexed citations
20.
Morrish, Donald W., et al.. (1987). Epidermal Growth Factor Induces Differentiation and Secretion of Human Chorionic Gonadotropin and Placental Lactogen in Normal Human Placenta*. The Journal of Clinical Endocrinology & Metabolism. 65(6). 1282–1290. 279 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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