B Tanos
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in
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- Protist diversity and phylogeny 3
- Hedgehog Signaling Pathway Studies 2
- Wnt/β-catenin signaling in development and cancer 2
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- Microtubule and mitosis dynamics 5
- Cellular transport and secretion 2
- Co-authors
- E Rodriguez-Boulan (1 shared paper)Won‐Jing Wang (4 shared papers)Meng-Fu Bryan Tsou (3 shared papers)Ann Marie Pendergast (3 shared papers)Frank Macaluso (1 shared paper)John M. Asara (1 shared paper)Rajesh K. Soni (1 shared paper)Jung‐Chi Liao (3 shared papers)
- Journals
- Oncogene (2 papers)Acta Haematologica (2 papers)Cellular and Molecular Life Sciences (2 papers)Cell Reports (2 papers)eLife (2 papers)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
B Tanos
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 475
- Genetics 505
- Molecular Biology 823
- Structural Biology 14
- Hematology 97
Countries citing papers authored by B Tanos
This map shows the geographic impact of B Tanos'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 B Tanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B Tanos more than expected).
Fields of papers citing papers by B Tanos
This network shows the impact of papers produced by B Tanos. 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 B Tanos. The network helps show where B Tanos may publish in the future.
Co-authors
The 25 scholars most cited alongside B Tanos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 315 | |
| 2 | 2018 | 148 | |
| 3 | 2008 | 144 | |
| 4 | 2018 | 91 | |
| 5 | 2006 | 85 | |
| 6 | 2014 | 73 | |
| 7 | 2020 | 61 | |
| 8 | 2009 | 54 | |
| 9 | 2019 | 54 | |
| 10 | 2016 | 42 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2007 | 23 | |
| 14 | 2015 | 20 | |
| 15 | 2025 | 9 | |
| 16 | 1952 | 7 | |
| 17 | 2006 | 5 | |
| 18 | 1959 | 5 | |
| 19 | 1953 | 4 | |
| 20 | The histamine content of granulocytes, as a possible characteristic of myelocytic leukaemia. | 1953 | 3 |
About B Tanos
B Tanos is a scholar working on Molecular Biology, Cell Biology, Hematology, Genetics and Immunology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (6 papers), Microtubule and mitosis dynamics (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protist diversity and phylogeny (3 papers), Cellular transport and secretion (2 papers), Barrier Structure and Function Studies (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (475 citations), Genetics (505 citations), Molecular Biology (823 citations), Structural Biology (14 citations) and Hematology (97 citations). B Tanos has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include E Rodriguez-Boulan, Won‐Jing Wang, Meng-Fu Bryan Tsou, Ann Marie Pendergast, Frank Macaluso, John M. Asara, Rajesh K. Soni, Jung‐Chi Liao, T. Tony Yang and E Kelemen. Their work appears in journals such as Oncogene, Acta Haematologica, Cellular and Molecular Life Sciences, Cell Reports and eLife.
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.