Gabriela Andrejeva

2.7k citations
16 papers · 1.3k indexed · 1 hit paper · h-index 11
Topics
Cancer, Hypoxia, and Metabolism (5 papers)Autophagy in Disease and Therapy (4 papers)Phagocytosis and Immune Regulation (4 papers)

In The Last Decade

Gabriela Andrejeva

16 papers receiving 1.3k citations

Hit Papers

MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant...20172026202020232017100200300400

Peers

Gabriela Andrejeva
Comparison fields: 5 of 87
  • Molecular Biology 724
  • Cancer Research 520
  • Immunology 457
  • Oncology 415
  • Epidemiology 146
Replace Aki Pui‐Wah Tse with:
Aki Pui‐Wah Tse Hong Kong
Ian A. Bettencourt United States
Matthew L. Arwood United States
Cristovão M. Sousa United States
Tomasz M. Grzywa Poland
Aparna Jayachandran Australia
Kiran Kurmi United States
Kwang‐Yu Chang Taiwan
Pin Yi China
Gabriela Andrejeva relative to Aki Pui‐Wah Tse Hong Kong Aki Pui‐Wah Tse's profile →
Citations per field
00.5×1.5×
Aki Pui‐Wah Tse · 1×
Citations per year

Countries citing papers authored by Gabriela Andrejeva

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Andrejeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Andrejeva

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Andrejeva. A scholar is included among the top collaborators of Gabriela Andrejeva 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 Gabriela Andrejeva. Gabriela Andrejeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 48
2 2
3 12
4 2
5 76
6 1
7 43
8 33
9 4
10 274
11 272
12
MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant Breast Cancer Stem Cells via Regulation of Mitochondrial Oxidative Phosphorylationbreakdown →
479
13 1
14 65
15 13
16 18

About Gabriela Andrejeva

Gabriela Andrejeva is a scholar working on Cancer Research, Immunology and Physiology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Autophagy in Disease and Therapy (4 papers) and Phagocytosis and Immune Regulation (4 papers). The work is most often cited by research in Cancer Research (520 citations), Immunology (457 citations) and Oncology (415 citations). Gabriela Andrejeva has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Jeffrey C. Rathmell, Melissa M. Wolf, Kyung‐min Lee, Mellissa J. Nixon, Katherine E. Hutchinson, Violeta Sánchez, Taekyu Lee, Jennifer M. Giltnane, José Alejandro Pérez Fidalgo and Ángel Guerrero‐Zotano. Their work appears in journals such as Blood, The Journal of Immunology and PLoS ONE.

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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