Denis Baev

409 citations
11 papers · 265 · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • CAR-T cell therapy research 2

Denis Baev

11 papers receiving 263 citations

Peers

Denis Baev
Comparison fields: 5 of 55
  • Immunology 141
  • Hematology 65
  • Genetics 38
  • Oncology 57
  • Virology 6
Replace Dejene M. Tufa with:
Dejene M. Tufa Germany
Anni Skovbo Denmark
Sébastian Wittnebel Belgium
Ameera Alsadeq Germany
Alejandra Gutiérrez‐González Spain
Mitchell Evers Netherlands
Kelly Walton United States
Pedro Santos e Sousa United Kingdom
Lisheng Lü United States
Virginie Pascal France
Denis Baev relative to Dejene M. Tufa Germany Dejene M. Tufa's profile →
Citations per field
00.5×2.6×
Dejene M. Tufa · 1×
Citations per year

Countries citing papers authored by Denis Baev

Since Specialization
Citations

This map shows the geographic impact of Denis Baev'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 Denis Baev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Baev more than expected).

Fields of papers citing papers by Denis Baev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Baev. 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 Denis Baev. The network helps show where Denis Baev may publish in the future.

Co-authors

The 25 scholars most cited alongside Denis Baev, 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 Denis Baev Line = papers co-authored together Denis Baev links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200492
2 201146
3 202332
4 200831
5 201822
6 201418
7 202010
8 20126
9 20194
10 20123
11
Measuring Telomere Length in Proliferating Cells by Flow-FISH Method
20121

About Denis Baev

Denis Baev is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Genetics, having authored 11 papers that have together received 265 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Acute Myeloid Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Immunology (141 citations), Hematology (65 citations), Genetics (38 citations), Oncology (57 citations) and Virology (6 citations). Denis Baev has collaborated with scholars based in Italy, United States and Ireland. Frequent co-authors include Leonid S. Metelitsa, Gay M. Crooks, Liping Song, Kenneth I. Weinberg, Michael O’Dwyer, Éva Szegezdi, Marco Cattaneo, Annalisa De Silvestri, Alessandra Balduini and Vittorio Rosti. Their work appears in journals such as PLoS ONE, Blood, International Immunology, Nature Cell Biology and The Journal of Immunology.

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.

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