Samar Issa

2.4k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Samar Issa is a scholar working on Pathology and Forensic Medicine, Genetics and Neurology. According to data from OpenAlex, Samar Issa has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pathology and Forensic Medicine, 29 papers in Genetics and 28 papers in Neurology. Recurrent topics in Samar Issa's work include Lymphoma Diagnosis and Treatment (31 papers), CNS Lymphoma Diagnosis and Treatment (28 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Samar Issa is often cited by papers focused on Lymphoma Diagnosis and Treatment (31 papers), CNS Lymphoma Diagnosis and Treatment (28 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Samar Issa collaborates with scholars based in New Zealand, Australia and United States. Samar Issa's co-authors include David Simpson, Peter Wood, David MacDonald, Kathryn S. Kolibaba, Ian W. Flinn, John M. Burke, Tim E. Hawkins, Brad S. Kahl, Doreen M. Hallman and Richard van der Jagt and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Lancet Oncology.

In The Last Decade

Samar Issa

49 papers receiving 1.5k citations

Hit Papers

Randomized trial of bendamustine-rituximab or R-CHOP/R-CV... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samar Issa New Zealand 15 1.3k 926 725 662 146 50 1.6k
Mars van’t Veer Netherlands 7 586 0.5× 448 0.5× 409 0.6× 302 0.5× 87 0.6× 8 1.0k
Graham W. Slack Canada 24 1.7k 1.3× 660 0.7× 571 0.8× 1.1k 1.7× 278 1.9× 97 2.2k
Monica Balzarotti Italy 23 1.2k 0.9× 402 0.4× 545 0.8× 699 1.1× 365 2.5× 69 1.5k
Ulrich von Grünhagen Germany 6 1.2k 1.0× 789 0.9× 197 0.3× 849 1.3× 129 0.9× 10 1.4k
J. Matthews United Kingdom 13 988 0.8× 428 0.5× 158 0.2× 664 1.0× 126 0.9× 20 1.1k
Alice Di Rocco Italy 16 775 0.6× 270 0.3× 317 0.4× 466 0.7× 135 0.9× 64 1.1k
Charles Foussard France 12 885 0.7× 356 0.4× 195 0.3× 601 0.9× 59 0.4× 22 1.0k
Elisabeth Wassner-Fritsch Switzerland 12 1.1k 0.9× 768 0.8× 124 0.2× 743 1.1× 69 0.5× 20 1.3k
W. Hiddemann Germany 2 871 0.7× 432 0.5× 140 0.2× 627 0.9× 62 0.4× 2 969
Robin Weaver United States 6 800 0.6× 460 0.5× 107 0.1× 535 0.8× 68 0.5× 6 1.2k

Countries citing papers authored by Samar Issa

Since Specialization
Citations

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

Fields of papers citing papers by Samar Issa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samar Issa

This figure shows the co-authorship network connecting the top 25 collaborators of Samar Issa. A scholar is included among the top collaborators of Samar Issa 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 Samar Issa. Samar Issa 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.
Ruskova, Anna, Christin Coomarasamy, Leanne Berkahn, et al.. (2023). Diffuse large B‐cell lymphoma at risk of secondary CNS involvement: The inefficacy of intravenous high‐dose methotrexate CNS prophylaxis and the importance of baseline cerebrospinal fluid analysis. American Journal of Hematology. 98(7). 1070–1079. 5 indexed citations
3.
Meulen, Matthijs van der, Renske Gahrmann, Bronno van der Holt, et al.. (2023). P20.11.A TEMPORAL MUSCLE THICKNESS AS PROGNOSTIC MARKER IN PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA - A VALIDATION STUDY. Neuro-Oncology. 25(Supplement_2). ii129–ii129. 1 indexed citations
4.
Meulen, Matthijs van der, Linda Dirven, Esther J. J. Habets, et al.. (2021). Neurocognitive functioning and radiologic changes in primary CNS lymphoma patients: results from the HOVON 105/ALLG NHL 24 randomized controlled trial. Neuro-Oncology. 23(8). 1315–1326. 9 indexed citations
5.
Meulen, Matthijs van der, Linda Dirven, Katerina Bakunina, et al.. (2021). MMSE is an independent prognostic factor for survival in primary central nervous system lymphoma. Journal of Neuro-Oncology. 152(2). 357–362. 14 indexed citations
6.
Meulen, Matthijs van der, Katerina Bakunina, Marcel Nijland, et al.. (2020). Health-related quality of life after chemotherapy with or without rituximab in primary central nervous system lymphoma patients: results from a randomised phase III study. Annals of Oncology. 31(8). 1046–1055. 4 indexed citations
7.
Issa, Samar, et al.. (2019). Bing-Neel syndrome presenting as isolated CNS lymphoplasmacytic lymphoma: A case report and review of the literature. Journal of Clinical Neuroscience. 71. 277–280. 1 indexed citations
8.
Schmitt, Andreas M., Amanda K. Herbrand, Christopher P. Fox, et al.. (2019). Rituximab in primary central nervous system lymphoma—A systematic review and meta‐analysis. Hematological Oncology. 37(5). 548–557. 51 indexed citations
9.
Kahl, Brad S., John M. Burke, Richard van der Jagt, et al.. (2017). Assessment of Maintenance Rituximab after First-Line Bendamustine-Rituximab in Patients with Follicular Lymphoma: An Analysis from the BRIGHT Trial. Blood. 130. 484–484. 10 indexed citations
11.
Burke, John M., Brad S. Kahl, Peter Wood, et al.. (2016). Differences in Quality of Life Between Bendamustine-Rituximab and R-CHOP/R-CVP in Patients With Previously Untreated Advanced Indolent Non-Hodgkin Lymphoma or Mantle Cell Lymphoma. Clinical Lymphoma Myeloma & Leukemia. 16(4). 182–190.e1. 14 indexed citations
12.
Flinn, Ian W., Richard van der Jagt, Brad S. Kahl, et al.. (2014). Randomized trial of bendamustine-rituximab or R-CHOP/R-CVP in first-line treatment of indolent NHL or MCL: the BRIGHT study. Blood. 123(19). 2944–2952. 419 indexed citations breakdown →
14.
McQueen, Fiona & Samar Issa. (2013). Is rheumatoid arthritis a B-cell haematological disease with a predilection for the joints? Following the B cell thread to its logical conclusion. Medical Hypotheses. 82(3). 266–270. 3 indexed citations
15.
Wieduwilt, Matthew J., Francisco Valles, Samar Issa, et al.. (2012). Immunochemotherapy with Intensive Consolidation for Primary CNS Lymphoma: A Pilot Study and Prognostic Assessment by Diffusion-Weighted MRI. Clinical Cancer Research. 18(4). 1146–1155. 99 indexed citations
17.
Bromberg, Jacoline E. C., Jeanette K. Doorduijn, Gerald Illerhaus, et al.. (2012). Central nervous system recurrence of systemic lymphoma in the era of stem cell transplantation - an International Primary Central Nervous System Lymphoma Study Group project. Haematologica. 98(5). 808–813. 43 indexed citations
19.
Rubenstein, James L., Jane Fridlyand, Lauren E. Abrey, et al.. (2007). Phase I Study of Intraventricular Administration of Rituximab in Patients With Recurrent CNS and Intraocular Lymphoma. Journal of Clinical Oncology. 25(11). 1350–1356. 243 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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