Ilka Warshawsky

1.5k total citations
33 papers, 1.2k citations indexed

About

Ilka Warshawsky is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Ilka Warshawsky has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Hematology and 11 papers in Cancer Research. Recurrent topics in Ilka Warshawsky's work include Protease and Inhibitor Mechanisms (11 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers) and Peptidase Inhibition and Analysis (6 papers). Ilka Warshawsky is often cited by papers focused on Protease and Inhibitor Mechanisms (11 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers) and Peptidase Inhibition and Analysis (6 papers). Ilka Warshawsky collaborates with scholars based in United States, Germany and Ireland. Ilka Warshawsky's co-authors include Alan L. Schwartz, Guojun Bu, Philip W. Majerus, George Broze, John D. York, Bonnie Shadrach, Ming Gu, Mark R. Wardell, Mairead Commane and Marvin R. Natowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ilka Warshawsky

32 papers receiving 1.1k citations

Peers

Ilka Warshawsky
Ilka Warshawsky
Citations per year, relative to Ilka Warshawsky Ilka Warshawsky (= 1×) peers Charlotte Rorsman

Countries citing papers authored by Ilka Warshawsky

Since Specialization
Citations

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

Fields of papers citing papers by Ilka Warshawsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilka Warshawsky

This figure shows the co-authorship network connecting the top 25 collaborators of Ilka Warshawsky. A scholar is included among the top collaborators of Ilka Warshawsky 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 Ilka Warshawsky. Ilka Warshawsky 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.
Taimur, Sarah, Medhat Askar, Ronald Sobecks, et al.. (2012). Donor T-Cell Chimerism and Early Post-Transplant Cytomegalovirus Viremia in Patients Treated with Myeloablative Allogeneic Hematopoietic Stem Cell Transplant. Biology of Blood and Marrow Transplantation. 18(2). S356–S356. 1 indexed citations
2.
Warshawsky, Ilka, et al.. (2011). Locked nucleic acid probes for enhanced detection of FLT3 D835/I836, JAK2 V617F and NPM1 mutations. Journal of Clinical Pathology. 64(10). 905–910. 11 indexed citations
3.
Warshawsky, Ilka, et al.. (2009). Prothrombin 20209C>T: 16 new cases, association with the 19911A>G polymorphism, and literature review. Journal of Thrombosis and Haemostasis. 7(9). 1585–1587. 3 indexed citations
4.
Warshawsky, Ilka, Olga Chernova, Christian A. Hübner, et al.. (2006). Multiplex Ligation-Dependent Probe Amplification for Rapid Detection of Proteolipid Protein 1 Gene Duplications and Deletions in Affected Males and Carrier Females with Pelizaeus–Merzbacher Disease. Clinical Chemistry. 52(7). 1267–1275. 15 indexed citations
5.
Warshawsky, Ilka, Richard A. Rudick, Susan M. Staugaitis, & Marvin R. Natowicz. (2005). Primary progressive multiple sclerosis as a phenotype of a PLP1 gene mutation. Annals of Neurology. 58(3). 470–473. 41 indexed citations
6.
Agah, Ramtin, Stephen G. Ellis, Mark Henderson, et al.. (2005). Creation of a large-scale genetic data bank for cardiovascular association studies. American Heart Journal. 150(3). 500–506. 5 indexed citations
7.
Wagner, Kristin, Allan Siperstein, Mira Milas, et al.. (2005). Thyrotropin Receptor/Thyroglobulin Messenger Ribonucleic Acid in Peripheral Blood and Fine-Needle Aspiration Cytology: Diagnostic Synergy for Detecting Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 90(4). 1921–1924. 30 indexed citations
8.
Shadrach, Bonnie, et al.. (2004). A Rare Mutation in the Primer Binding Region of the Amelogenin Gene Can Interfere with Gender Identification. Journal of Molecular Diagnostics. 6(4). 401–405. 52 indexed citations
9.
Shadrach, Bonnie & Ilka Warshawsky. (2004). A Comparison of Multiplex and Monoplex T-Cell Receptor Gamma PCR. Diagnostic Molecular Pathology. 13(3). 127–134. 18 indexed citations
10.
Beyer, Erik, Malcolm M. DeCamp, Nicholas G. Smedira, et al.. (2003). Primary adenocarcinoma in a donor lung: evaluation and surgical management. The Journal of Heart and Lung Transplantation. 22(10). 1174–1177. 13 indexed citations
11.
Warshawsky, Ilka, et al.. (2002). Detection of a Novel Point Mutation of the Prothrombin Gene at Position 20209. Diagnostic Molecular Pathology. 11(3). 152–156. 32 indexed citations
12.
Warshawsky, Ilka & Glen L. Hortin. (2001). Effect of substrate size on immunoinhibition of amylase activity. Journal of Clinical Laboratory Analysis. 15(2). 64–70. 3 indexed citations
13.
Warshawsky, Ilka, et al.. (1997). Differential Functions of Triplicated Repeats Suggest Two Independent Roles for the Receptor-associated Protein as a Molecular Chaperone. Journal of Biological Chemistry. 272(16). 10761–10768. 61 indexed citations
14.
Warshawsky, Ilka, Joachim Herz, George Broze, & Alan L. Schwartz. (1996). The Low Density Lipoprotein Receptor-related Protein Can Function Independently from Heparan Sulfate Proteoglycans in Tissue Factor Pathway Inhibitor Endocytosis. Journal of Biological Chemistry. 271(42). 25873–25879. 35 indexed citations
15.
Warshawsky, Ilka, Guojun Bu, Alan E. Mast, et al.. (1995). The carboxy terminus of tissue factor pathway inhibitor is required for interacting with hepatoma cells in vitro and in vivo.. Journal of Clinical Investigation. 95(4). 1773–1781. 60 indexed citations
16.
Warshawsky, Ilka, et al.. (1995). Sites within the 39-kDa protein important for regulating ligand binding to the low-density lipoprotein receptor-related protein. Biochemistry. 34(10). 3404–3415. 32 indexed citations
17.
Nielsen, Morten S., et al.. (1995). Analysis of Ligand Binding to the α2-Macroglobulin Receptor/Low Density Lipoprotein Receptor-related Protein. Journal of Biological Chemistry. 270(40). 23713–23719. 26 indexed citations
18.
Warshawsky, Ilka, Guojun Bu, & Alan L. Schwartz. (1994). Identification of Domains on the 39‐kDa Protein That Inhibit the Binding of Ligands to the Low Density Lipoprotein Receptor–Related Protein. Annals of the New York Academy of Sciences. 737(1). 514–517. 8 indexed citations
19.
Warshawsky, Ilka, George Broze, & Alan L. Schwartz. (1994). The low density lipoprotein receptor-related protein mediates the cellular degradation of tissue factor pathway inhibitor.. Proceedings of the National Academy of Sciences. 91(14). 6664–6668. 96 indexed citations
20.
Warshawsky, Ilka, Guojun Bu, & Alan L. Schwartz. (1993). 39-kD protein inhibits tissue-type plasminogen activator clearance in vivo.. Journal of Clinical Investigation. 92(2). 937–944. 69 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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