Maya Gulubova

168 total papers · 2.0k total citations
107 papers, 1.5k citations indexed

About

Maya Gulubova is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Maya Gulubova has authored 107 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 31 papers in Molecular Biology and 29 papers in Immunology. Recurrent topics in Maya Gulubova's work include Cell Adhesion Molecules Research (12 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Immunotherapy and Immune Responses (10 papers). Maya Gulubova is often cited by papers focused on Cell Adhesion Molecules Research (12 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Immunotherapy and Immune Responses (10 papers). Maya Gulubova collaborates with scholars based in Bulgaria, Japan and Poland. Maya Gulubova's co-authors include Tatyana Vlaykova, Julian Ananiev, Irina I. Stoyanova, Irena Manolova, Alexander Julianov, Ichio Aoki, Zhivko Zhelev, Rumiana Bakalova, Ekaterina Georgieva and Donika Ivanova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Maya Gulubova

99 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maya Gulubova 497 495 448 233 203 107 1.5k
Ryo Takahashi 410 0.8× 411 0.8× 433 1.0× 187 0.8× 181 0.9× 104 2.1k
Éva Remenyik 354 0.7× 403 0.8× 463 1.0× 112 0.5× 219 1.1× 92 1.8k
F Takaku 498 1.0× 572 1.2× 637 1.4× 148 0.6× 131 0.6× 59 1.9k
M Dąbrowska 320 0.6× 438 0.9× 516 1.2× 180 0.8× 113 0.6× 101 1.6k
Chul‐Soo Cho 345 0.7× 671 1.4× 745 1.7× 249 1.1× 195 1.0× 73 2.4k
Carlo Rumi 430 0.9× 682 1.4× 692 1.5× 138 0.6× 180 0.9× 103 2.3k
Hae‐Rim Kim 423 0.9× 685 1.4× 590 1.3× 243 1.0× 98 0.5× 128 2.1k
Wan‐Hee Yoo 290 0.6× 489 1.0× 673 1.5× 202 0.9× 318 1.6× 109 2.3k
Grazia Malaponte 435 0.9× 463 0.9× 639 1.4× 222 1.0× 186 0.9× 53 1.8k
Xiaoyun Cheng 590 1.2× 299 0.6× 571 1.3× 166 0.7× 204 1.0× 78 1.6k

Countries citing papers authored by Maya Gulubova

Since Specialization
Citations

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

Fields of papers citing papers by Maya Gulubova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Gulubova

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Gulubova. A scholar is included among the top collaborators of Maya Gulubova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Gulubova. Maya Gulubova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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