Alexandra Borodovsky

1.6k citations
26 papers · 1.0k indexed · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

    • Adenosine and Purinergic Signaling 7
    • Glioma Diagnosis and Treatment 7

Alexandra Borodovsky

26 papers receiving 1.0k citations

Peers

Alexandra Borodovsky
Comparison fields: 5 of 82
  • Genetics 312
  • Physiology 110
  • Cancer Research 229
  • Molecular Biology 698
  • Oncology 220
Replace Han Shen with:
Han Shen Australia
Avadhut D. Joshi United States
Mélanie Tichet France
Kyoko Arai Japan
Anne-Marie Bleau United States
Thomas R. Geiger United States
Victoria Hill United States
A. J. A. Terzis Germany
Nazanin Majd United States
Toshinori Iwahara Japan
Alexandra Borodovsky relative to Han Shen Australia Han Shen's profile →
Citations per field
00.5×7.9×
Han Shen · 1×
Citations per year

Countries citing papers authored by Alexandra Borodovsky

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Borodovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 202113
3 20206
4 20202
5 20193
6 201819
7 20188
8 201845
9 20182
10 20181
11 201719
12 20163
13 20161
14 201475
15 201416
16 20141
17 2013191
18 2013271
19 201318
20 201149

About Alexandra Borodovsky

Alexandra Borodovsky is a scholar working on Physiology, Genetics, Oncology, Cancer Research and Hepatology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Adenosine and Purinergic Signaling (7 papers), Epigenetics and DNA Methylation (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Click Chemistry and Applications (3 papers), CAR-T cell therapy research (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Genetics (312 citations), Physiology (110 citations), Cancer Research (229 citations), Molecular Biology (698 citations) and Oncology (220 citations). Alexandra Borodovsky has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Gregory J. Riggins, Timothy A. Chan, Armida W. M. Fabius, Şevin Turcan, Charles M. Rudin, Gregory J. Riggins, Alicia Pedraza, Cameron Brennan, Agnès Viale and Jason T. Huse. Their work appears in journals such as Cancer Research, Oncotarget, Neuro-Oncology, Molecular Cancer Therapeutics and Cancer Immunology 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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