Ivan Moiseev
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 97
- Hematopoietic Stem Cell Transplantation 67
- Acute Myeloid Leukemia Research 26
- Chronic Myeloid Leukemia Treatments 23
- Genetics 37
- Chronic Lymphocytic Leukemia Research 22
- Co-authors
- Boris Vladimirovich Afanasyev (60 shared papers)Sergey Nikolaevich Bondarenko (61 shared papers)Elena V. Babenko (22 shared papers)Alexander Kulagin (56 shared papers)Kirill Viktorovich Lepik (31 shared papers)Ludmila Stepanovna Zubarovskaya (43 shared papers)Vadim Baykov (21 shared papers)Elena V. Kondakova (17 shared papers)
In The Last Decade
Ivan Moiseev
162 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Hematology 565
- Transplantation 85
- Genetics 125
- Oncology 301
- Immunology 216
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
Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2019 | 67 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 31 | |
| 5 | 2016 | 31 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2024 | 28 | |
| 9 | 2024 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2018 | 25 | |
| 12 | 2024 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2023 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2015 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2017 | 17 |
About Ivan Moiseev
Ivan Moiseev is a scholar working on Hematology, Genetics, Oncology, Transplantation and Pathology and Forensic Medicine, having authored 197 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (67 papers), Acute Lymphoblastic Leukemia research (36 papers), Lymphoma Diagnosis and Treatment (26 papers), Acute Myeloid Leukemia Research (26 papers), Chronic Myeloid Leukemia Treatments (23 papers), Chronic Lymphocytic Leukemia Research (22 papers), Renal Transplantation Outcomes and Treatments (18 papers) and Neutropenia and Cancer Infections (14 papers). The work is most often cited by research in Hematology (565 citations), Transplantation (85 citations), Genetics (125 citations), Oncology (301 citations) and Immunology (216 citations). Ivan Moiseev has collaborated with scholars based in Russia, France and Germany. Frequent co-authors include Boris Vladimirovich Afanasyev, Sergey Nikolaevich Bondarenko, Elena V. Babenko, Alexander Kulagin, Kirill Viktorovich Lepik, Ludmila Stepanovna Zubarovskaya, Vadim Baykov, Elena V. Kondakova, Sergey Vladimirovich Lapin and Marina Olegovna Popova. Their work appears in journals such as Bone Marrow Transplantation, Blood, Transplantation and Cellular Therapy, Annals of Oncology and HemaSphere.
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.