Sergej Konoplev
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 55
- Chronic Myeloid Leukemia Treatments 22
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 34
- Myeloproliferative Neoplasms: Diagnosis and Treatment 18
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- Lymphoma Diagnosis and Treatment 43
- Oncology top 2%
- Immunology top 2%
- Immune Cell Function and Interaction 14
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- Acute Lymphoblastic Leukemia research 21
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- Cutaneous lymphoproliferative disorders research 16
- Co-authors
- L. Jeffrey MedeirosMarina KonoplevaMichael AndreeffHagop M. KantarjianCarlos E. Bueso‐RamosJeffrey L. JorgensenPei LinA.Yu. Zaritskey
- Partner nations
- United StatesChinaRussia
In The Last Decade
Sergej Konoplev
146 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 101
- Hematology 2.2k
- Genetics 1.2k
- Pathology and Forensic Medicine 964
- Oncology 1.4k
- Immunology 1.1k
Countries citing papers authored by Sergej Konoplev
This map shows the geographic impact of Sergej Konoplev'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 Sergej Konoplev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergej Konoplev more than expected).
Fields of papers citing papers by Sergej Konoplev
This network shows the impact of papers produced by Sergej Konoplev. 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 Sergej Konoplev. The network helps show where Sergej Konoplev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sergej Konoplev, 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 | 2022 | 13 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 54 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 24 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 2 | |
| 13 | 2015 | 95 | |
| 14 | 2014 | 24 | |
| 15 | 2012 | 197 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 1 | |
| 18 | 2008 | 397 | |
| 19 | Phase I trial with a novel orally administered synthetic triterpenoid RTA 402 (CDDO-Me) in patients with solid tumors and lymphoid malignancies | 2007 | 4 |
| 20 | HER-2/neu overexpression as a poor prognostic factor for patients with metastatic breast cancer undergoing high-dose chemotherapy with autologous stem cell transplantation. | 2001 | 33 |
About Sergej Konoplev
Sergej Konoplev is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 154 papers that have together received 4.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (55 papers), Lymphoma Diagnosis and Treatment (43 papers), Chronic Lymphocytic Leukemia Research (34 papers), Chronic Myeloid Leukemia Treatments (22 papers), Acute Lymphoblastic Leukemia research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Cutaneous lymphoproliferative disorders research (16 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Hematology (2.2k citations), Genetics (1.2k citations) and Pathology and Forensic Medicine (964 citations). Sergej Konoplev has collaborated with scholars based in United States, China and Russia. Frequent co-authors include L. Jeffrey Medeiros, Marina Konopleva, Michael Andreeff, Hagop M. Kantarjian, Carlos E. Bueso‐Ramos, Jeffrey L. Jorgensen, Pei Lin, A.Yu. Zaritskey, Wei Hu and C. Cameron Yin.
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.