Bella Biderman
Impact in
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- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 30
- Chronic Lymphocytic Leukemia Research 27
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- Lymphoma Diagnosis and Treatment 19
- Co-authors
- Andrey Sudarikov (43 shared papers)Yulia Sidorova (10 shared papers)Eugene Nikitin (9 shared papers)Savchenko Vg (9 shared papers)Борис Зингерман (1 shared paper)Т. Н. Власик (1 shared paper)Evgeny A. Moskalev (1 shared paper)С. М. Куликов (2 shared papers)
- Journals
- Blood (3 papers)International Journal of Molecular Sciences (2 papers)HemaSphere (2 papers)Genes (2 papers)Experimental Dermatology (1 paper)
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Bella Biderman
31 papers receiving 105 citations
Peers
Comparison fields: 5 of 31
- Genetics 52
- Pathology and Forensic Medicine 42
- Hematology 24
- Immunology 27
- Transplantation 2
Countries citing papers authored by Bella Biderman
This map shows the geographic impact of Bella Biderman'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 Bella Biderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bella Biderman more than expected).
Fields of papers citing papers by Bella Biderman
This network shows the impact of papers produced by Bella Biderman. 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 Bella Biderman. The network helps show where Bella Biderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Bella Biderman, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 26 | |
| 2 | 2011 | 16 | |
| 3 | 2016 | 15 | |
| 4 | 2021 | 5 | |
| 5 | 2022 | 4 | |
| 6 | 2015 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2017 | 3 | |
| 9 | 2012 | 3 | |
| 10 | 2019 | 3 | |
| 11 | [The detection of minimal residual disease in patients with chronic B-cell lymphatic leukemia using patient-specified polymerase chain reaction]. | 2011 | 3 |
| 12 | 2020 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Bella Biderman
Bella Biderman is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Hematology and Oncology, having authored 50 papers that have together received 119 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (27 papers), Lymphoma Diagnosis and Treatment (19 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Cancer Genomics and Diagnostics (4 papers), Viral-associated cancers and disorders (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Genetics (52 citations), Pathology and Forensic Medicine (42 citations), Hematology (24 citations), Immunology (27 citations) and Transplantation (2 citations). Bella Biderman has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Andrey Sudarikov, Yulia Sidorova, Eugene Nikitin, Savchenko Vg, Борис Зингерман, Т. Н. Власик, Evgeny A. Moskalev, С. М. Куликов, Alexander Shevelev and А. Б. Полтараус. Their work appears in journals such as Blood, International Journal of Molecular Sciences, HemaSphere, Genes and Experimental Dermatology.
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.