Ivan Berest

841 citations
16 papers · 486 · h-index 8

Impact in

    • Galectins and Cancer Biology
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Hematopoietic Stem Cell Transplantation

Papers in

    • IL-33, ST2, and ILC Pathways 2
    • Galectins and Cancer Biology 1
    • Single-cell and spatial transcriptomics 3
    • Pluripotent Stem Cells Research 1

Ivan Berest

13 papers receiving 483 citations

Peers

Ivan Berest
Comparison fields: 5 of 56
  • Immunology 92
  • Hematology 59
  • Molecular Biology 214
  • Aging 3
  • Oncology 35
Replace Federica Ferri with:
Federica Ferri France
Alban Giese France
Michael Nawrath Switzerland
Satoshi Miike Japan
Anna Baruzzi Italy
Shi Hao Tan Singapore
Amy L. Rymaszewski United States
Katherine Sully United Kingdom
Juo-Chin Yao United States
Supinya Iamsawat United States
Ivan Berest relative to Federica Ferri France Federica Ferri's profile →
Citations per field
00.5×2×3×4×4.9×
Federica Ferri · 1×
Citations per year

Countries citing papers authored by Ivan Berest

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Berest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020229
2 201971
3 202058
4
Expression of galectin-1 in malignant tumors.
200957
5 202515
6 202212
7 202211
8 202511
9 20257
10 20245
11 20254
12 20253
13 20253
14 20250
15 20250
16 20260

About Ivan Berest

Ivan Berest is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Dermatology and Genetics, having authored 16 papers that have together received 486 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Antifungal resistance and susceptibility (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Dermatology and Skin Diseases (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Pluripotent Stem Cells Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (92 citations), Hematology (59 citations), Molecular Biology (214 citations), Aging (3 citations) and Oncology (35 citations). Ivan Berest has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Judith B. Zaugg, Andrea Tangherloni, Brynelle Myers, Simone G. Riva, Anna Maria Ranzoni, Irina Mohorianu, Elisa Panada, Paulina M. Strzelecka, Ana Cvejic and Armando Reyes‐Palomares. Their work appears in journals such as Nature Communications, Cell Reports, Nature Methods, Nature Immunology and Molecular Systems Biology.

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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