Sameh Gaballa

1.7k total citations
55 papers, 413 citations indexed

About

Sameh Gaballa is a scholar working on Oncology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Sameh Gaballa has authored 55 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 25 papers in Hematology and 22 papers in Pathology and Forensic Medicine. Recurrent topics in Sameh Gaballa's work include Lymphoma Diagnosis and Treatment (22 papers), CAR-T cell therapy research (16 papers) and Hematopoietic Stem Cell Transplantation (14 papers). Sameh Gaballa is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), CAR-T cell therapy research (16 papers) and Hematopoietic Stem Cell Transplantation (14 papers). Sameh Gaballa collaborates with scholars based in United States, South Korea and United Kingdom. Sameh Gaballa's co-authors include Richard E. Champlin, Javier Pinilla‐Ibarz, Jonathan E. Brammer, Syed Osman Ahmed, Chitra Hosing, Riad El Fakih, Celina Ledesma, Joanne Filicko-O’Hara, Rima M. Saliba and Neal Flomenberg and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sameh Gaballa

44 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameh Gaballa United States 12 269 169 98 87 87 55 413
Masanobu Kasai Japan 9 177 0.7× 106 0.6× 63 0.6× 88 1.0× 105 1.2× 23 340
Satyajit Kosuri United States 12 247 0.9× 150 0.9× 61 0.6× 35 0.4× 73 0.8× 47 420
Birte Friedrichs Germany 10 105 0.4× 134 0.8× 147 1.5× 61 0.7× 87 1.0× 21 344
S. Vigouroux France 11 358 1.3× 112 0.7× 133 1.4× 36 0.4× 103 1.2× 18 438
Raffaella Stocchi Italy 12 267 1.0× 171 1.0× 76 0.8× 67 0.8× 40 0.5× 20 461
N J Chao United States 13 327 1.2× 168 1.0× 99 1.0× 94 1.1× 95 1.1× 18 491
Heiko‐Manuel Teltschik Germany 11 273 1.0× 217 1.3× 210 2.1× 25 0.3× 94 1.1× 20 460
Francesca Lunghi Italy 8 109 0.4× 164 1.0× 148 1.5× 85 1.0× 55 0.6× 19 378
Michele Cimminiello Italy 9 266 1.0× 88 0.5× 102 1.0× 57 0.7× 34 0.4× 19 359
Rachel Pawson United Kingdom 11 159 0.6× 115 0.7× 229 2.3× 167 1.9× 70 0.8× 25 511

Countries citing papers authored by Sameh Gaballa

Since Specialization
Citations

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

Fields of papers citing papers by Sameh Gaballa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameh Gaballa

This figure shows the co-authorship network connecting the top 25 collaborators of Sameh Gaballa. A scholar is included among the top collaborators of Sameh Gaballa 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 Sameh Gaballa. Sameh Gaballa 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.
Yoon, Dok Hyun, Sameh Gaballa, Seok‐Goo Cho, et al.. (2025). Safety and efficacy of AZD0486, a CD19xCD3 T-cell engager, in relapsed or refractory diffuse large B-cell lymphoma.. Journal of Clinical Oncology. 43(16_suppl). 7046–7046.
3.
Gaballa, Sameh, et al.. (2024). Patient Medication Preferences in Follicular Lymphoma (FL) in the United States (USA): A Discrete-Choice Experiment (DCE). Blood. 144(Supplement 1). 3655–3655. 1 indexed citations
4.
Bello, Celeste, Julio C. Chávez, Leidy Isenalumhe, et al.. (2024). Bendamustine and rituximab as frontline therapy in extranodal marginal zone lymphoma: a single-institution experience. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 32(6). 1031–1036.
5.
Saeed, Hayder, Eva Sahakian, Qianxing Mo, et al.. (2024). A Phase I Study of Duvelisib in Combination with Oral Azacitidine (BMS-986345) in Mature T Cell Lymphoma. Blood. 144(Supplement 1). 3065–3065. 1 indexed citations
6.
Nair, Ranjit, Ryan Jacobs, Sumana Devata, et al.. (2023). HIGH COMPLETE RESPONSE RATE WITH TNB‐486, A NOVEL CD19XCD3 T‐CELL ENGAGER, IN RELAPSED/REFRACTORY FOLLICULAR LYMPHOMA: INTERIM RESULTS FROM AN ONGOING PHASE 1 STUDY. Hematological Oncology. 41(S2). 127–129. 1 indexed citations
7.
Zhang, Hailing, Jinming Song, Bijal Shah, et al.. (2023). B-Cell Maturation Antigen (BCMA) Expression and Clinical Features of Plasmablastic Lymphoma (PBL). Blood. 142(Supplement 1). 3138–3138. 1 indexed citations
8.
Nair, Ranjit, Ryan Jacobs, Seok‐Goo Cho, et al.. (2023). High complete response rate with TNB-486 in relapsed/refractory follicular lymphoma: Interim results from an ongoing phase 1 study.. Journal of Clinical Oncology. 41(16_suppl). 7524–7524. 6 indexed citations
9.
Lee, Dasom, Meghan Menges, Aleksandr Lazaryan, et al.. (2022). Pneumococcal Conjugate Vaccine Does Not Induce Humoral Response When Administrated Within the Six Months After CD19 CAR T-Cell Therapy. Transplantation and Cellular Therapy. 29(4). 277.e1–277.e9. 14 indexed citations
10.
Perez, Ariel Perez, Christina A. Bachmeier, Julio C. Chávez, et al.. (2022). Primary progression during frontline CIT associates with decreased efficacy of subsequent CD19 CAR T-cell therapy in LBCL. Blood Advances. 6(13). 3970–3973. 5 indexed citations
12.
Grosso, Dolores, Benjamin E. Leiby, Joanne Filicko-O’Hara, et al.. (2019). The Presence of a CMV Immunodominant Allele in the Recipient Is Associated With Increased Survival in CMV Positive Patients Undergoing Haploidentical Hematopoietic Stem Cell Transplantation. Frontiers in Oncology. 9. 888–888. 9 indexed citations
13.
Grosso, Dolores, Önder Alpdoğan, Joanne Filicko-O’Hara, et al.. (2017). The Presence of Recipient CMV Immunodominant Human Leukocyte Antigen (HLA) Alleles Affect Outcomes after Haploidentical (HI) Hematopoietic Stem Cell Transplantation (HSCT). Blood. 130. 1959–1959. 1 indexed citations
17.
Grosso, Dolores, Eugene H. Johnson, Beth Colombe, et al.. (2017). Acquired uniparental disomy in chromosome 6p as a feature of relapse after T-cell replete haploidentical hematopoietic stem cell transplantation using cyclophosphamide tolerization. Bone Marrow Transplantation. 52(4). 615–619. 11 indexed citations
18.
Brammer, Jonathan E., Rima M. Saliba, Jeffrey L. Jorgensen, et al.. (2016). Multi-center analysis of the effect of T-cell acute lymphoblastic leukemia subtype and minimal residual disease on allogeneic stem cell transplantation outcomes. Bone Marrow Transplantation. 52(1). 20–27. 34 indexed citations
19.
Gaballa, Sameh, Neil Palmisiano, Önder Alpdoğan, et al.. (2015). A Two-Step Haploidentical Versus a Two-Step Matched Related Allogeneic Myeloablative Peripheral Blood Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 22(1). 141–148. 21 indexed citations
20.
Grosso, Dolores, Sameh Gaballa, Önder Alpdoğan, et al.. (2014). A Two-Step Approach to Myeloablative Haploidentical Transplantation: Low Nonrelapse Mortality and High Survival Confirmed in Patients with Earlier Stage Disease. Biology of Blood and Marrow Transplantation. 21(4). 646–652. 31 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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