Tamás Masszi

335 total papers · 16.5k total citations
187 papers, 6.1k citations indexed

About

Tamás Masszi is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Tamás Masszi has authored 187 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Hematology, 66 papers in Genetics and 56 papers in Molecular Biology. Recurrent topics in Tamás Masszi's work include Multiple Myeloma Research and Treatments (64 papers), Chronic Myeloid Leukemia Treatments (42 papers) and Chronic Lymphocytic Leukemia Research (31 papers). Tamás Masszi is often cited by papers focused on Multiple Myeloma Research and Treatments (64 papers), Chronic Myeloid Leukemia Treatments (42 papers) and Chronic Lymphocytic Leukemia Research (31 papers). Tamás Masszi collaborates with scholars based in Hungary, United States and Italy. Tamás Masszi's co-authors include Ivan Špıčka, Antonio Palumbo, María‐Victoria Mateos, William Deraedt, Andrew Spencer, Alessandro M. Vannucchi, Katja Weisel, Claire Harrison, Jan Walewski and Ajay K. Nooka and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Tamás Masszi

178 papers receiving 5.9k citations

Hit Papers

Daratumumab, Bortezomib, ... 2015 2026 2018 2022 2016 2015 2015 2015 2015 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamás Masszi 3.8k 2.3k 2.3k 2.3k 1.1k 187 6.1k
Sigurður Y. Kristinsson 3.8k 1.0× 1.6k 0.7× 2.6k 1.1× 2.2k 1.0× 826 0.7× 142 6.0k
Haifa Kathrin Al‐Ali 3.2k 0.8× 820 0.4× 3.2k 1.4× 1.7k 0.7× 750 0.7× 166 4.9k
Uday Popat 4.0k 1.0× 1.9k 0.8× 1.5k 0.7× 1.3k 0.6× 969 0.9× 396 6.5k
Javier Pinilla‐Ibarz 2.6k 0.7× 1.8k 0.8× 2.3k 1.0× 1.9k 0.8× 767 0.7× 234 5.8k
Miloslav Beran 3.3k 0.9× 1.1k 0.5× 2.6k 1.1× 2.0k 0.9× 1.1k 1.0× 106 5.6k
Sa A. Wang 3.1k 0.8× 1.2k 0.5× 1.8k 0.8× 934 0.4× 1.2k 1.1× 278 5.3k
Taghi Manshouri 3.1k 0.8× 1.3k 0.5× 3.1k 1.4× 3.0k 1.3× 739 0.7× 142 6.2k
Dieter K. Hossfeld 1.9k 0.5× 1.8k 0.8× 1.4k 0.6× 2.6k 1.1× 1.2k 1.1× 165 6.1k
Ashraf Badros 4.4k 1.1× 3.5k 1.5× 1.1k 0.5× 3.3k 1.5× 677 0.6× 173 7.1k
Ulrike Bacher 4.2k 1.1× 1.1k 0.5× 2.1k 0.9× 1.8k 0.8× 624 0.6× 280 5.7k

Countries citing papers authored by Tamás Masszi

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Masszi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Masszi

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Masszi. A scholar is included among the top collaborators of Tamás Masszi 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 Tamás Masszi. Tamás Masszi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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