Yael Katz‐Levy

1.2k total citations
13 papers, 985 citations indexed

About

Yael Katz‐Levy is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Yael Katz‐Levy has authored 13 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Yael Katz‐Levy's work include Myasthenia Gravis and Thymoma (8 papers), T-cell and B-cell Immunology (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Yael Katz‐Levy is often cited by papers focused on Myasthenia Gravis and Thymoma (8 papers), T-cell and B-cell Immunology (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Yael Katz‐Levy collaborates with scholars based in Israel and United States. Yael Katz‐Levy's co-authors include Carol L. Vanderlugt, Katherine L. Neville, Wendy Smith Begolka, Stephen D. Miller, Byung S. Kim, Winnie Pao, Robert L. Yauch, Ana Carrizosa, S D Miller and Ann M. Girvin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Yael Katz‐Levy

12 papers receiving 973 citations

Peers

Yael Katz‐Levy
Comparison fields: 5 of 71
  • Immunology 590
  • Pathology and Forensic Medicine 258
  • Neurology 153
  • Radiology, Nuclear Medicine and Imaging 152
  • Cardiology and Cardiovascular Medicine 145
Replace Ying C. Q. Zang with:
Ying C. Q. Zang United States
M. Pette Germany
S D Miller United States
Byung S. Kim United States
Peter A. Csurhes Australia
Christopher Piercy United States
Cheryl M. Bergman United States
M Flerlage United States
H. McFarland United States
P Galanaud France
Ying C. Q. Zang United States View profile →
Citations per field, relative to Yael Katz‐Levy
Yael Katz‐Levy · 1×
Citations per year, relative to Yael Katz‐Levy
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Countries citing papers authored by Yael Katz‐Levy

Since Specialization
Citations

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

Fields of papers citing papers by Yael Katz‐Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yael Katz‐Levy. 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 Yael Katz‐Levy. The network helps show where Yael Katz‐Levy may publish in the future.

Co-authorship network of co-authors of Yael Katz‐Levy

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 49
2 98
3 103
4 140
5 17
6 444
7 18
8 30
9 32
10 7
11
Dominant epitopes and synthetic peptides in myasthenia gravis.
1
12 17
13 29

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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