Suzanne Szak

2.2k total citations
26 papers, 1.7k citations indexed

About

Suzanne Szak is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Suzanne Szak has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Suzanne Szak's work include Chromosomal and Genetic Variations (4 papers), Multiple Sclerosis Research Studies (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Suzanne Szak is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Multiple Sclerosis Research Studies (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Suzanne Szak collaborates with scholars based in United States, Japan and Switzerland. Suzanne Szak's co-authors include Jef D. Boeke, Jeffrey S. Han, Jennifer A. Pietenpol, Deborah J. Mays, David E. Symer, Carla J. Connelly, Giovanni Parmigiani, Gregory J. Cost, Oxana K. Pickeral and David Landsman and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Suzanne Szak

26 papers receiving 1.7k citations

Peers

Suzanne Szak

ONCOL

GENET

Jolyon Terragni United States

Xing Cao China

Radek Malı́k Czechia

Anderly C. Chüeh Australia

Arkadiusz Piotrowski Poland

Petra Schwalie Switzerland

Arnaud Stigliani France

Simon Knott United States

Jan‐Philipp Mallm Germany

Shuai Xiao China

Jolyon Terragni United States

Suzanne Szak

2.0k ×1.5

428 ×0.6

446 ×1.5

ONCOL

279 ×1.2

GENET

427 ×2.7

Citations per year, relative to Suzanne Szak Suzanne Szak (= 1×) peers Jolyon Terragni

Countries citing papers authored by Suzanne Szak

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne Szak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Szak

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

All Works

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20 of 20 papers shown

Sotirchos, Elias S., Kathryn C. Fitzgerald, Matthew D. Smith, et al.. (2021). Associations of Serum Neurofilament Light Chain with Clinico-Radiological Characteristics in the MSPATHS Network: A Cross-Sectional Evaluation (1722). Neurology. 96(15_supplement). 4 indexed citations

Wipke, Brian T., Robert Hoepner, Katrin Straßburger-Krogias, et al.. (2021). Different Fumaric Acid Esters Elicit Distinct Pharmacologic Responses. Neurology Neuroimmunology & Neuroinflammation. 8(2). 12 indexed citations

Crotti, Andrea, Kathleen M. McAvoy, Karol Estrada, et al.. (2019). BIN1 favors the spreading of Tau via extracellular vesicles. Scientific Reports. 9(1). 9477–9477. 111 indexed citations

Dang, Lan, Takahide Aburatani, Graham Marsh, et al.. (2017). Hyperactive FOXO1 results in lack of tip stalk identity and deficient microvascular regeneration during kidney injury. Biomaterials. 141. 314–329. 24 indexed citations

Ranger, Ann, Soma Ray, Suzanne Szak, et al.. (2017). Anti-LINGO-1 has no detectable immunomodulatory effects in preclinical and phase 1 studies. Neurology Neuroimmunology & Neuroinflammation. 5(1). e417–e417. 25 indexed citations

Nakagawa, Naoki, Cuiyan Xin, Allie M. Roach, et al.. (2015). Dicer1 activity in the stromal compartment regulates nephron differentiation and vascular patterning during mammalian kidney organogenesis. Kidney International. 87(6). 1125–1140. 46 indexed citations

Brennan, Melanie S., Maria Auxiliadora Costa Matos, Chao Sun, Suzanne Szak, & Robert H. Scannevin. (2015). The NRF2 transcriptional target, OSGIN1, contributes to the cytoprotective properties of monomethyl fumarate. (P1.150). Neurology. 84(14_supplement). 1 indexed citations

Ranger, Ann, Soma Ray, Suzanne Szak, et al.. (2014). Blocking LINGO-1 Does Not Affect Inflammatory Markers in the Cerebrospinal Fluid of Individuals with Multiple Sclerosis (P1.186). Neurology. 82(10_supplement). 1 indexed citations

Brennan, Melanie S., Norm Allaire, David Huss, et al.. (2014). Dimethyl Fumarate and Monomethyl Fumarate are Distinguished by Non-Overlapping Pharmacodynamic Effects In Vivo (P1.206). Neurology. 82(10_supplement). 4 indexed citations

10.

Kawashima, Rei, Yuki I. Kawamura, Tomoyuki Oshio, et al.. (2011). Interleukin-13 Damages Intestinal Mucosa via TWEAK and Fn14 in Mice—A Pathway Associated With Ulcerative Colitis. Gastroenterology. 141(6). 2119–2129.e8. 66 indexed citations

11.

Burkly, Linda C., Rei Kawashima, Yuki I. Kawamura, et al.. (2011). CS18-4. TWEAK/Fn14 Pathway in Colitis: Links to Interleukin-13-induced intestinal epithelial cell injury and promotion of chronic colitis. Cytokine. 56(1). 109–109. 1 indexed citations

12.

Sun, Chao, Olivia Orozco, Dian L. Olson, et al.. (2008). CRIPTO3, a presumed pseudogene, is expressed in cancer. Biochemical and Biophysical Research Communications. 377(1). 215–220. 23 indexed citations

13.

Zheng, Timothy S., et al.. (2007). Arthritogenic Simulation of Human Synovial Fibroblasts by TWEAK. Clinical Immunology. 123. S156–S156. 1 indexed citations

14.

Han, Jeffrey S., Suzanne Szak, & Jef D. Boeke. (2004). Transcriptional disruption by the L1 retrotransposon and implications for mammalian transcriptomes. Nature. 429(6989). 268–274. 387 indexed citations

15.

Szak, Suzanne, Oxana K. Pickeral, David Landsman, & Jef D. Boeke. (2003). Identifying related L1 retrotransposons by analyzing 3' transduced sequences. Genome biology. 4(5). R30–R30. 26 indexed citations

16.

Symer, David E., Carla J. Connelly, Suzanne Szak, et al.. (2002). Human L1 Retrotransposition Is Associated with Genetic Instability In Vivo. Cell. 110(3). 327–338. 364 indexed citations

17.

Szak, Suzanne, Oxana K. Pickeral, Wojciech Makałowski, et al.. (2002). Molecular archeology of L1 insertions in the human genome. Genome biology. 3(10). research0052–research0052. 167 indexed citations

18.

Szak, Suzanne, Deborah J. Mays, & Jennifer A. Pietenpol. (2001). Kinetics of p53 Binding to Promoter Sites In Vivo. Molecular and Cellular Biology. 21(10). 3375–3386. 158 indexed citations

19.

Flatt, Patricia M., et al.. (2000). p53 Regulation of G ₂ Checkpoint Is Retinoblastoma Protein Dependent. Molecular and Cellular Biology. 20(12). 4210–4223. 144 indexed citations

20.

Szak, Suzanne & Jennifer A. Pietenpol. (1999). High Affinity Insertion/Deletion Lesion Binding by p53. Journal of Biological Chemistry. 274(6). 3904–3909. 29 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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