Janet Schaefer-Klein

799 total citations
16 papers, 655 citations indexed

About

Janet Schaefer-Klein is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Janet Schaefer-Klein has authored 16 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Janet Schaefer-Klein's work include Multiple Sclerosis Research Studies (7 papers), Protein Tyrosine Phosphatases (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Janet Schaefer-Klein is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Protein Tyrosine Phosphatases (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Janet Schaefer-Klein collaborates with scholars based in United States, Netherlands and Germany. Janet Schaefer-Klein's co-authors include Brian G. Weinshenker, Orhun H. Kantarci, Matthew W. VanBrocklin, Eugene V. Barsov, Jeannette M. Whitcomb, Stephen H. Hughes, Mark J. Federspiel, Douglas N. Foster, I Givol and Elizabeth J. Atkinson and has published in prestigious journals such as Nature Genetics, PLoS ONE and Neurology.

In The Last Decade

Janet Schaefer-Klein

16 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Schaefer-Klein United States 10 299 215 206 97 87 16 655
Nicolás Fissolo Spain 18 231 0.8× 320 1.5× 209 1.0× 36 0.4× 55 0.6× 35 636
Tyler Caron United States 9 173 0.6× 249 1.2× 353 1.7× 25 0.3× 97 1.1× 13 760
Christine Ewing Australia 7 158 0.5× 574 2.7× 252 1.2× 36 0.4× 44 0.5× 8 883
Matthew A. Care United Kingdom 16 413 1.4× 251 1.2× 183 0.9× 104 1.1× 13 0.1× 35 817
Mario Pujato United States 11 250 0.8× 157 0.7× 83 0.4× 86 0.9× 13 0.1× 20 594
Jayanthi Manne United States 7 306 1.0× 66 0.3× 128 0.6× 148 1.5× 111 1.3× 7 789
Gabriella Huerta United States 5 320 1.1× 410 1.9× 139 0.7× 21 0.2× 41 0.5× 5 736
Amy Kimball United States 16 607 2.0× 121 0.6× 175 0.8× 109 1.1× 51 0.6× 57 1.0k
Giulia Di Lullo Italy 11 98 0.3× 197 0.9× 94 0.5× 29 0.3× 30 0.3× 14 507
Edward D. Howard United States 8 276 0.9× 806 3.7× 142 0.7× 66 0.7× 28 0.3× 8 1.2k

Countries citing papers authored by Janet Schaefer-Klein

Since Specialization
Citations

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

Fields of papers citing papers by Janet Schaefer-Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Schaefer-Klein. 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 Janet Schaefer-Klein. The network helps show where Janet Schaefer-Klein may publish in the future.

Co-authorship network of co-authors of Janet Schaefer-Klein

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

All Works

16 of 16 papers shown
1.
Tolosa, Ezequiel J., Lin Yang, Jennifer Ayers-Ringler, et al.. (2024). Proteolysis targeting chimera (PROTAC)-driven antibody internalization of oncogenic cell surface receptors. Communications Biology. 7(1). 1719–1719. 3 indexed citations
2.
Desai, Aakash, Farhad Kosari, Maria Disselhorst, et al.. (2023). Dynamics and survival associations of T cell receptor clusters in patients with pleural mesothelioma treated with immunotherapy. Journal for ImmunoTherapy of Cancer. 11(6). e006035–e006035. 6 indexed citations
3.
Kosari, Farhad, Maria Disselhorst, Jun Yin, et al.. (2021). Tumor Junction Burden and Antigen Presentation as Predictors of Survival in Mesothelioma Treated With Immune Checkpoint Inhibitors. Journal of Thoracic Oncology. 17(3). 446–454. 14 indexed citations
4.
5.
Schaefer-Klein, Janet, Stephen J. Murphy, Sarah H. Johnson, George Vasmatzis, & Irina V. Kovtun. (2015). Topoisomerase 2 Alpha Cooperates with Androgen Receptor to Contribute to Prostate Cancer Progression. PLoS ONE. 10(11). e0142327–e0142327. 44 indexed citations
6.
Matiello, Marcelo, Janet Schaefer-Klein, David Sun, & Brian G. Weinshenker. (2013). Aquaporin 4 Expression and Tissue Susceptibility to Neuromyelitis Optica. JAMA Neurology. 70(9). 1118–1118. 65 indexed citations
7.
Matiello, Marcelo, Dayin Sun, Janet Schaefer-Klein, & B. G. Weinshenker. (2012). Tissue Susceptibility to Neuromyelitis Optica Is Associated with Aquaporin-4 Expression and Supramolecular Aggregation (S60.001). Neurology. 78(Meeting Abstracts 1). S60.001–S60.001. 2 indexed citations
8.
Matiello, Marcelo, Janet Schaefer-Klein, David D. Hebrink, et al.. (2011). Genetic analysis of aquaporin-4 in neuromyelitis optica. Neurology. 77(12). 1149–1155. 40 indexed citations
9.
Matiello, Marcelo, Brian G. Weinshenker, Elizabeth J. Atkinson, Janet Schaefer-Klein, & Orhun H. Kantarci. (2011). Association of IL2RA polymorphisms with susceptibility to multiple sclerosis is not explained by missense mutations in IL2RA. Multiple Sclerosis Journal. 17(5). 634–636. 8 indexed citations
10.
Matiello, Marcelo, Janet Schaefer-Klein, Doralina Guimarães Brum, et al.. (2010). HLA-DRB1*1501 tagging rs3135388 polymorphism is not associated with neuromyelitis optica. Multiple Sclerosis Journal. 16(8). 981–984. 18 indexed citations
11.
Kantarci, Orhun H., David D. Hebrink, Janet Schaefer-Klein, et al.. (2008). Interferon Gamma Allelic Variants. Archives of Neurology. 65(3). 349–57. 30 indexed citations
12.
Kantarci, Orhun H., David D. Hebrink, Sara J. Achenbach, et al.. (2004). Association of APOE polymorphisms with disease severity in MS is limited to women. Neurology. 62(5). 811–814. 62 indexed citations
13.
Weinshenker, Brian G., David D. Hebrink, Orhun H. Kantarci, et al.. (2001). Genetic variation in the transforming growth factor β1 gene in multiple sclerosis. Journal of Neuroimmunology. 120(1-2). 138–145. 16 indexed citations
14.
Jacobsen, Marc, Andreas Ziegler, Rami Gaber, et al.. (2000). A point mutation in PTPRC is associated with the development of multiple sclerosis. Nature Genetics. 26(4). 495–499. 165 indexed citations
15.
Schaefer-Klein, Janet, I Givol, Eugene V. Barsov, et al.. (1998). The EV-O-Derived Cell Line DF-1 Supports the Efficient Replication of Avian Leukosis-Sarcoma Viruses and Vectors. Virology. 248(2). 305–311. 174 indexed citations
16.
Schaefer-Klein, Janet, James M. Londowski, & Rajiv Kumar. (1993). Bacterial Synthesis of Truncated Forms of the Human Vitamin D Receptor and Characterization of Anti-receptor Monoclonal Antibodies. Biochemical and Biophysical Research Communications. 196(1). 167–172. 3 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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