Lev Verkh

868 citations
19 papers · 710 · h-index 12

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Blood transfusion and management

Papers in

    • Mesenchymal stem cell research 4
    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 2

Lev Verkh

19 papers receiving 667 citations

Peers

Lev Verkh
Comparison fields: 5 of 67
  • Genetics 117
  • Biochemistry 74
  • Developmental Neuroscience 20
  • Pharmacology 60
  • Hematology 60
Replace Stephen H. Robinson with:
Stephen H. Robinson United States
Michio Ogawa Japan
Ilaria Caldarelli Italy
Aris Xie United States
Robert W. Colman United States
Matthew J. Lovell United Kingdom
Jay Zhang United States
Kazuhiko Asanuma Japan
Janet Fricker United States
Nicholas J. S. Perry United Kingdom
Lev Verkh relative to Stephen H. Robinson United States Stephen H. Robinson's profile →
Citations per field
00.5×2×4×6.7×
Stephen H. Robinson · 1×
Citations per year

Countries citing papers authored by Lev Verkh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lev Verkh Line = papers co-authored together Lev Verkh links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019155
2 2006120
3 2002116
4 200077
5 198945
6 200945
7 200935
8 198222
9 201221
10 201219
11 199718
12 198013
13 20159
14
Expression of nucleolar antigen p145 in bone marrow cells of patients with myeloid leukemias.
19896
15 19864
16 20162
17 19821
18
Tolerability of sunitinib in combination with docetaxel and trastuzumab as first-line therapy for HER2+advanced breast cancer : Abstract #4120
20091
19 20211

About Lev Verkh

Lev Verkh is a scholar working on Genetics, Oncology, Hematology, Cancer Research and Biochemistry, having authored 19 papers that have together received 710 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Cancer Treatment and Pharmacology (3 papers), Acute Myeloid Leukemia Research (2 papers), Fractal and DNA sequence analysis (2 papers), Breast Cancer Treatment Studies (2 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Blood transfusion and management (1 paper). The work is most often cited by research in Genetics (117 citations), Biochemistry (74 citations), Developmental Neuroscience (20 citations), Pharmacology (60 citations) and Hematology (60 citations). Lev Verkh has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Michael L. Levy, Nabil Dib, John Ross Crawford, Steven C. Cramer, Jihao Zhou, John Smeraglia, Laurie Jill Sherman, Karen J. Klamerus, Carlo L. Bello and Leonard G. Gomella. Their work appears in journals such as Biopolymers, The Breast, Blood, Cancer Chemotherapy and Pharmacology and Alzheimer s & Dementia.

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.

Explore authors with similar magnitude of impact