Lev Verkh
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Oncology 14
- Cancer Treatment and Pharmacology 10
- HER2/EGFR in Cancer Research 9
- Colorectal Cancer Treatments and Studies 2
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- Advanced Breast Cancer Therapies 7
- Co-authors
- Nabil Dib (1 shared paper)Michael L. Levy (1 shared paper)Steven C. Cramer (1 shared paper)John R. Crawford (1 shared paper)Carlo L. Bello (1 shared paper)Jihao Zhou (1 shared paper)Karen J. Klamerus (1 shared paper)Laurie Sherman (1 shared paper)
- Journals
- Cancer Research (4 papers)The Breast (2 papers)Journal of Clinical Oncology (2 papers)Biopolymers (2 papers)Blood (1 paper)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Lev Verkh
28 papers receiving 691 citations
Peers
Comparison fields: 5 of 88
- Genetics 139
- Hematology 85
- Developmental Neuroscience 28
- Oncology 147
- Neurology 45
Countries citing papers authored by Lev Verkh
This map shows the geographic impact of Lev Verkh'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 Lev Verkh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Verkh more than expected).
Fields of papers citing papers by Lev Verkh
This network shows the impact of papers produced by Lev Verkh. 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 Lev Verkh. The network helps show where Lev Verkh may publish in the future.
Co-authors
The 25 scholars most cited alongside Lev Verkh, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2006 | 119 | |
| 3 | 2002 | 113 | |
| 4 | 2000 | 78 | |
| 5 | 1989 | 45 | |
| 6 | 2009 | 44 | |
| 7 | 2009 | 34 | |
| 8 | 2012 | 21 | |
| 9 | 1982 | 21 | |
| 10 | 1997 | 19 | |
| 11 | 2012 | 17 | |
| 12 | 1980 | 13 | |
| 13 | 2008 | 9 | |
| 14 | 2015 | 7 | |
| 15 | Expression of nucleolar antigen p145 in bone marrow cells of patients with myeloid leukemias. | 1989 | 7 |
| 16 | 2008 | 6 | |
| 17 | 2009 | 4 | |
| 18 | 1986 | 4 | |
| 19 | 2007 | 4 | |
| 20 | 2009 | 3 |
About Lev Verkh
Lev Verkh is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Hematology, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (10 papers), HER2/EGFR in Cancer Research (9 papers), Advanced Breast Cancer Therapies (7 papers), Mesenchymal stem cell research (4 papers), RNA and protein synthesis mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Genetics (139 citations), Hematology (85 citations), Developmental Neuroscience (28 citations), Oncology (147 citations) and Neurology (45 citations). Lev Verkh has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Nabil Dib, Michael L. Levy, Steven C. Cramer, John R. Crawford, Carlo L. Bello, Jihao Zhou, Karen J. Klamerus, Laurie Sherman, John Smeraglia and Leonard G. Gomella. Their work appears in journals such as Cancer Research, The Breast, Journal of Clinical Oncology, Biopolymers and Blood.
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.