Ivan Moiseev
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 77
- Hematopoietic Stem Cell Transplantation 50
- Acute Myeloid Leukemia Research 24
- Chronic Myeloid Leukemia Treatments 18
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- Renal Transplantation Outcomes and Treatments 13
- Co-authors
- Boris V. AfanasyevSergey N. BondarenkoElena V. BabenkoL. S. ZubarovskayaAlexander KulaginKirill V. LepikVadim BaykovMarina Popova
- Journals
- Blood (13 papers)HemaSphere (6 papers)Annals of Oncology (5 papers)Bone Marrow Transplantation (5 papers)Hematological Oncology (5 papers)
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
Ivan Moiseev
110 papers receiving 594 citations
Peers
Comparison fields: 5 of 73
- Hematology 336
- Transplantation 48
- Genetics 93
- Oncology 209
- Immunology 143
Countries citing papers authored by Ivan Moiseev
This map shows the geographic impact of Ivan Moiseev'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 Ivan Moiseev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Moiseev more than expected).
Fields of papers citing papers by Ivan Moiseev
This network shows the impact of papers produced by Ivan Moiseev. 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 Ivan Moiseev. The network helps show where Ivan Moiseev may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Moiseev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 1 | |
| 19 | 2019 | 2 | |
| 20 | Fecal microbiota transplantation in patients after allogeneic hematopoietic stem cell transplantation | 2018 | 0 |
About Ivan Moiseev
Ivan Moiseev is a scholar working on Hematology, Transplantation, Genetics, Oncology and Pathology and Forensic Medicine, having authored 149 papers that have together received 611 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (50 papers), Acute Lymphoblastic Leukemia research (31 papers), Lymphoma Diagnosis and Treatment (25 papers), Acute Myeloid Leukemia Research (24 papers), Chronic Lymphocytic Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (18 papers), Renal Transplantation Outcomes and Treatments (13 papers) and Cancer Immunotherapy and Biomarkers (13 papers). The work is most often cited by research in Hematology (336 citations), Transplantation (48 citations), Genetics (93 citations), Oncology (209 citations) and Immunology (143 citations). Ivan Moiseev has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Boris V. Afanasyev, Sergey N. Bondarenko, Elena V. Babenko, L. S. Zubarovskaya, Alexander Kulagin, Kirill V. Lepik, Vadim Baykov, Marina Popova, С. В. Лапин and Elena Kondakova. Their work appears in journals such as Blood, HemaSphere, Annals of Oncology, Bone Marrow Transplantation and Hematological Oncology.
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.