Gleb E. Baida

801 citations
24 papers · 654 · h-index 13

Impact in

Papers in

    • Dermatology and Skin Diseases 7
    • Skin Protection and Aging 5
    • Estrogen and related hormone effects 5
    • Bacterial Genetics and Biotechnology 4

Gleb E. Baida

24 papers receiving 632 citations

Peers

Gleb E. Baida
Comparison fields: 5 of 84
  • Dermatology 95
  • Endocrinology 44
  • Biotechnology 52
  • Immunology 112
  • Genetics 146
Replace Chen‐Si Lin with:
Chen‐Si Lin Taiwan
Vachiranee Limviphuvadh Singapore
Claudia Bagutti Switzerland
Sarah M. Golden United States
Mariya London United States
Antonia Fettelschoss‐Gabriel Switzerland
Xiaoxiao Yan China
Dominik Filipp Czechia
Ju‐Hyeon Lim South Korea
Dimitrios G. Anastasakis United States
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Citations per field
00.5×2×4×6×8.6×
Chen‐Si Lin · 1×
Citations per year

Countries citing papers authored by Gleb E. Baida

Since Specialization
Citations

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

Fields of papers citing papers by Gleb E. Baida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gleb E. Baida. 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 Gleb E. Baida. The network helps show where Gleb E. Baida may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996101
2 200178
3 199967
4 199559
5 201456
6 201744
7 200440
8 202233
9 201831
10 201823
11 201921
12 201517
13 202114
14 200612
15 201611
16 20099
17 20208
18 20207
19 20207
20 20086

About Gleb E. Baida

Gleb E. Baida is a scholar working on Dermatology, Genetics, Immunology, Ecology and Oncology, having authored 24 papers that have together received 654 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (7 papers), Estrogen and related hormone effects (5 papers), Bacteriophages and microbial interactions (5 papers), Skin Protection and Aging (5 papers), Bacterial Genetics and Biotechnology (4 papers), Viral Infections and Immunology Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Dermatology (95 citations), Endocrinology (44 citations), Biotechnology (52 citations), Immunology (112 citations) and Genetics (146 citations). Gleb E. Baida has collaborated with scholars based in United States, Russia and Philippines. Frequent co-authors include Irina V. Budunova, Alexander S. Solonin, Joel T. Dudley, Pankaj Bhalla, Ben Readhead, Ekaterina A. Lesovaya, Marianna G. Yakubovskaya, Kirill I. Kirsanov, Oscar R. Colamonici and Anna Kłopot. Their work appears in journals such as Journal of Investigative Dermatology, Oncotarget, Journal of Virology, Microbiology and Experimental Cell Research.

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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