Maya Golan

495 total citations
18 papers, 411 citations indexed

About

Maya Golan is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Maya Golan has authored 18 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Maya Golan's work include Cancer, Hypoxia, and Metabolism (8 papers), Mitochondrial Function and Pathology (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Maya Golan is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Mitochondrial Function and Pathology (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Maya Golan collaborates with scholars based in Israel, United States and Germany. Maya Golan's co-authors include Varda Shoshan‐Barmatz, Nicola J. Mabjeesh, Sharon Amir, Iafa Keydar, Hadar Reichman, James H. Resau, Ilan Tsarfaty, Amnon Hizi, Neora Yaal‐Hahoshen and Karin Mausner-Fainberg and has published in prestigious journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Maya Golan

18 papers receiving 408 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maya Golan Israel 10 296 105 66 65 49 18 411
Sung Yeon Park South Korea 9 377 1.3× 68 0.6× 55 0.8× 75 1.2× 34 0.7× 12 467
Huanying Ge United States 9 607 2.1× 125 1.2× 66 1.0× 47 0.7× 71 1.4× 12 868
Qianying Yuan United States 13 210 0.7× 62 0.6× 33 0.5× 42 0.6× 63 1.3× 20 411
Huanhuan Ma China 12 514 1.7× 178 1.7× 86 1.3× 78 1.2× 27 0.6× 30 694
Ruochen Liu China 11 266 0.9× 116 1.1× 44 0.7× 36 0.6× 28 0.6× 22 401
Can Zhou China 10 305 1.0× 107 1.0× 58 0.9× 97 1.5× 75 1.5× 17 433
Qingtao Yan China 11 211 0.7× 67 0.6× 60 0.9× 78 1.2× 32 0.7× 20 339
Abraham Q. Kohrman United States 6 216 0.7× 60 0.6× 29 0.4× 69 1.1× 65 1.3× 8 332
Sara Sánchez‐Redondo Spain 8 212 0.7× 132 1.3× 31 0.5× 69 1.1× 37 0.8× 10 400

Countries citing papers authored by Maya Golan

Since Specialization
Citations

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

Fields of papers citing papers by Maya Golan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Golan

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

All Works

18 of 18 papers shown
1.
Fernández‐Zapata, Camila, Maya Golan, Leif Erik Sander, et al.. (2023). Associations of myeloid cells with cellular and humoral responses following vaccinations in patients with neuroimmunological diseases. Nature Communications. 14(1). 7728–7728. 2 indexed citations
2.
Fuchs, Lior, Karin Mausner-Fainberg, Susanna Asseyer, et al.. (2022). CTGF/CCN2 has a possible detrimental role in the inflammation and the remyelination failure in the early stages of multiple sclerosis. Journal of Neuroimmunology. 371. 577936–577936. 4 indexed citations
3.
Golan, Maya, et al.. (2021). Increased Expression of Ephrins on Immune Cells of Patients with Relapsing Remitting Multiple Sclerosis Affects Oligodendrocyte Differentiation. International Journal of Molecular Sciences. 22(4). 2182–2182. 3 indexed citations
4.
Mausner-Fainberg, Karin, et al.. (2021). Specific Blockade of Bone Morphogenetic Protein-2/4 Induces Oligodendrogenesis and Remyelination in Demyelinating Disorders. Neurotherapeutics. 18(3). 1798–1814. 6 indexed citations
5.
Golan, Maya, Karin Mausner-Fainberg, Adi Wilf‐Yarkoni, et al.. (2019). Fingolimod Increases Brain-Derived Neurotrophic Factor Level Secretion from Circulating T Cells of Patients with Multiple Sclerosis. CNS Drugs. 33(12). 1229–1237. 11 indexed citations
6.
Mausner-Fainberg, Karin, et al.. (2019). Reduced levels of Coco in sera of multiple sclerosis patients: A potential role in neuro-regeneration failure. Journal of Neuroimmunology. 327. 36–40. 3 indexed citations
7.
Cohen, Maya, Sharon Amir, Maya Golan, Yinon Ben‐Neriah, & Nicola J. Mabjeesh. (2018). β‐TrCP upregulates HIF‐1 in prostate cancer cells. The Prostate. 79(4). 403–413. 16 indexed citations
8.
Mausner-Fainberg, Karin, et al.. (2017). High serum levels of BMP-2 correlate with BMP-4 and BMP-5 levels and induce reduced neuronal phenotype in patients with relapsing-remitting multiple sclerosis. Journal of Neuroimmunology. 310. 120–128. 14 indexed citations
9.
Golan, Maya & Nicola J. Mabjeesh. (2017). Imaging of hypoxia-inducible factor 1α and septin 9 interaction by bimolecular fluorescence complementation in live cancer cells. Oncotarget. 8(19). 31830–31841. 3 indexed citations
10.
Golan, Maya & Nicola J. Mabjeesh. (2013). SEPT9_i1 is required for the association between HIF-1α and importin-α to promote efficient nuclear translocation. Cell Cycle. 12(14). 2297–2308. 25 indexed citations
11.
Golan, Maya, et al.. (2013). Forchlorfenuron Disrupts SEPT9_i1 Filaments and Inhibits HIF-1. PLoS ONE. 8(8). e73179–e73179. 23 indexed citations
12.
Golan, Maya, Sharon Amir, Duyen T. Dang, et al.. (2012). HIF1AC1772T polymorphism leads to HIF-1α mRNA overexpression in prostate cancer patients. Cancer Biology & Therapy. 13(9). 720–726. 21 indexed citations
13.
Shoshan‐Barmatz, Varda & Maya Golan. (2012). Mitochondrial VDAC1: Function in Cell Life and Death and a Target for Cancer Therapy. Current Medicinal Chemistry. 19(5). 714–735. 115 indexed citations
14.
Amir, Sharon, Maya Golan, & Nicola J. Mabjeesh. (2010). Targeted Knockdown of SEPT9_v1 Inhibits Tumor Growth and Angiogenesis of Human Prostate Cancer Cells Concomitant with Disruption of Hypoxia-Inducible Factor-1 Pathway. Molecular Cancer Research. 8(5). 643–652. 41 indexed citations
15.
Golan, Maya, et al.. (2010). Hypoxia induces PTHrP gene transcription in human cancer cells through the HIF-2α. Cell Cycle. 9(18). 3747–3753. 27 indexed citations
16.
Golan, Maya, Amnon Hizi, James H. Resau, et al.. (2008). Human Endogenous Retrovirus (HERV-K) Reverse Transcriptase as a Breast Cancer Prognostic Marker. Neoplasia. 10(6). 521–IN2. 89 indexed citations
17.
Żekanowski, Cezary, Dorota Religa, Krzysztof Safranow, et al.. (2004). The −22c/t polymorphism in presenilin 1 gene is not connected with late-onset and early-onset familial Alzheimer’s disease in Poland. Journal of Neural Transmission. 112(6). 839–845. 7 indexed citations
18.
Golan, Maya, Amnon Hizi, Iafa Keydar, & Ilan Tsarfaty. (2001). Characterization of a hormonally induced reverse transcriptase (RT) from the human breast cancer cell line T47D: a possible involvement in human breast cancer. Breast Cancer Research. 3(S1). 1 indexed citations

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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