Susi Varvayanis

2.4k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Susi Varvayanis is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Susi Varvayanis has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Oncology and 8 papers in Immunology. Recurrent topics in Susi Varvayanis's work include Retinoids in leukemia and cellular processes (22 papers), Cancer-related Molecular Pathways (11 papers) and Ubiquitin and proteasome pathways (7 papers). Susi Varvayanis is often cited by papers focused on Retinoids in leukemia and cellular processes (22 papers), Cancer-related Molecular Pathways (11 papers) and Ubiquitin and proteasome pathways (7 papers). Susi Varvayanis collaborates with scholars based in United States, Netherlands and Japan. Susi Varvayanis's co-authors include Andrew Yen, Flossie Wong‐Staal, Gregory E. Halligan, Bernhard Kramarsky, S. Zaki Salahuddin, Dharam V. Ablashi, Richard L. Gallo, Phillip D. Markham, Steven F. Josephs and Mark H. Kaplan and has published in prestigious journals such as Science, PLoS ONE and Journal of Virology.

In The Last Decade

Susi Varvayanis

33 papers receiving 1.8k citations

Hit Papers

Isolation of a New Virus, HBLV, in Patients with Lymphopr... 1986 2026 1999 2012 1986 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Isolation of a New Virus, HBLV, in Patients with Lymphoproliferative Disorders
    1986 1.1k citations Susi Varvayanis et al. profile →

Peers

Susi Varvayanis
Anne S. Dejean France
Claudia Stewart United States
Kathleen Hennessy United States
Samuel C. C. Chiang Sweden
S Gartner United States
Vinícius Cotta‐de‐Almeida Brazil
Nagaraj Kerur United States
Andrew P. Makrigiannis Canada
Zuzana Berkova United States
Shiny Nair United States
Anne S. Dejean France
Susi Varvayanis
Citations per year, relative to Susi Varvayanis Susi Varvayanis (= 1×) peers Anne S. Dejean

Countries citing papers authored by Susi Varvayanis

Since Specialization
Citations

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

Fields of papers citing papers by Susi Varvayanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susi Varvayanis

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

All Works

20 of 20 papers shown
1.
Chalkley, Roger, et al.. (2024). Citizenship status and career self-efficacy: An intersectional study of biomedical trainees in the United States. PLoS ONE. 19(3). e0296246–e0296246. 2 indexed citations
2.
Varvayanis, Susi, et al.. (2023). Career self-efficacy disparities in underrepresented biomedical scientist trainees. PLoS ONE. 18(3). e0280608–e0280608. 5 indexed citations
3.
Layton, Rebekah L., et al.. (2022). Using stakeholder insights to enhance engagement in PhD professional development. PLoS ONE. 17(1). e0262191–e0262191. 2 indexed citations
4.
Varvayanis, Susi, et al.. (2005). Retinoic acid‐induced CD38 expression in HL‐60 myeloblastic leukemia cells regulates cell differentiation or viability depending on expression levels. Journal of Cellular Biochemistry. 97(6). 1328–1338. 34 indexed citations
5.
Yen, Andrew, Robert S. Fenning, Roshantha A.S. Chandraratna, Patricia Walker, & Susi Varvayanis. (2004). A Retinoic Acid Receptor β/γ-Selective Prodrug (tazarotene) Plus a Retinoid X Receptor Ligand Induces Extracellular Signal-Regulated Kinase Activation, Retinoblastoma Hypophosphorylation, G0 Arrest, and Cell Differentiation. Molecular Pharmacology. 66(6). 1727–1737. 9 indexed citations
6.
7.
Varvayanis, Susi, et al.. (2001). Retinoic acid causes MEK-dependent RAF phosphorylation through RARα plus RXR activation in HL-60 cells. Differentiation. 68(1). 55–66. 40 indexed citations
8.
Battle, Traci E., Mark S. Roberson, Tong Zhang, Susi Varvayanis, & Andrew Yen. (2001). Retinoic acid-induced blr1 expression requires RARα, RXR, and MAPK activation and uses ERK2 but not JNK/SAPK to accelerate cell differentiation. European Journal of Cell Biology. 80(1). 59–67. 38 indexed citations
9.
10.
Yen, Andrew, Mark S. Roberson, & Susi Varvayanis. (1999). Retinoic acid selectively activates the ERK2 but not JNK/SAPK or P38 map kinases when inducing myeloid differentiation. In Vitro Cellular & Developmental Biology - Animal. 35(9). 527–532. 54 indexed citations
11.
Yen, Andrew, Van Cherington, Brian Schaffhausen, Kevin M. Marks, & Susi Varvayanis. (1999). Transformation-Defective Polyoma Middle T Antigen Mutants Defective in PLCγ, PI-3, or src Kinase Activation Enhance ERK2 Activation and Promote Retinoic Acid-Induced, Cell Differentiation Like Wild-Type Middle T. Experimental Cell Research. 248(2). 538–551. 15 indexed citations
12.
Forbes, M. Elizabeth, et al.. (1998). Polyoma Middle T Antigen in HL-60 Cells Accelerates Hematopoietic Myeloid and Monocytic Cell Differentiation. Experimental Cell Research. 238(1). 42–50. 11 indexed citations
13.
Yen, A, et al.. (1997). Increasing c-FMS (CSF-1 receptor) expression decreases retinoic acid concentration needed to cause cell differentiation and retinoblastoma protein hypophosphorylation.. PubMed. 57(10). 2020–8. 18 indexed citations
14.
15.
Yen, Andrew & Susi Varvayanis. (1995). RB phosphorylation in sodium butyrate‐resistant HL‐60 cells: Cross‐resistance to retinoic acid but not vitamin D3. Journal of Cellular Physiology. 163(3). 502–509. 14 indexed citations
16.
Yen, Andrew, et al.. (1994). Vitamin-Regulated Retinoblastoma Tumor Suppressor Gene Expression in Leukemic Cells. Advances in experimental medicine and biology. 354. 1–18. 1 indexed citations
17.
Yen, Andrew & Susi Varvayanis. (1994). Late Dephosphorylation of the RB Protein in G2 during the Process of Induced Cell Differentiation. Experimental Cell Research. 214(1). 250–257. 28 indexed citations
18.
Yen, Andrew, et al.. (1994). Enhanced Cell Differentiation When RB Is Hypophosphorylated and Down-Regulated by Radicicol, a SRC-Kinase Inhibitor. Experimental Cell Research. 214(1). 163–171. 17 indexed citations
19.
Yen, Andrew, et al.. (1993). C‐FMS dependent HL‐60 cell differentiation and regulation of RB gene expression. Journal of Cellular Physiology. 157(2). 379–391. 22 indexed citations
20.
Yen, Andrew & Susi Varvayanis. (1992). RB tumor suppressor gene expression responds to DNA synthesis inhibitors. In Vitro Cellular & Developmental Biology - Animal. 28(9-10). 669–672. 9 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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