Joan Levy

7.0k total citations
58 papers, 3.6k citations indexed

About

Joan Levy is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Joan Levy has authored 58 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 18 papers in Oncology and 12 papers in Hematology. Recurrent topics in Joan Levy's work include Protein Degradation and Inhibitors (13 papers), Multiple Myeloma Research and Treatments (12 papers) and Bone Metabolism and Diseases (10 papers). Joan Levy is often cited by papers focused on Protein Degradation and Inhibitors (13 papers), Multiple Myeloma Research and Treatments (12 papers) and Bone Metabolism and Diseases (10 papers). Joan Levy collaborates with scholars based in United States, Canada and Poland. Joan Levy's co-authors include Roland Baron, Lynn Neff, Gilad Barnea, William C. Horne, Sakae Tanaka, Hidesaburô Hanafusa, Hideo Iba, Olli Silvennoinen, Joan S. Brugge and Peter Canoll and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Joan Levy

56 papers receiving 3.5k citations

Peers

Joan Levy
Comparison fields: 5 of 116
  • Molecular Biology 2.6k
  • Oncology 955
  • Cell Biology 545
  • Immunology 487
  • Cancer Research 406
Replace Serge Roche with:
Serge Roche France
Chris Marshall United Kingdom
Kurt R. Auger United States
Bruce I. Terman United States
Brian Duckworth United States
Elisa Bal de Kier Joffé Argentina
Benilde Jiménez Spain
Ugo Cavallaro Italy
Bart Vanhaesebroeck United Kingdom
Pilar Navarro Spain
Serge Roche France View profile →
Citations per field, relative to Joan Levy
Joan Levy · 1×
Citations per year, relative to Joan Levy
Joan Levy · 1×

Countries citing papers authored by Joan Levy

Since Specialization
Citations

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

Fields of papers citing papers by Joan Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Levy. A scholar is included among the top collaborators of Joan 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 Joan Levy. Joan Levy 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
# Work Indexed citations
1 0
2 1
3 17
4 0
5 1
6 4
7 20
8 35
9 48
10
Analysis of transcription and protein expression changes in the 786-O human renal cell carcinoma tumor xenograft model in response to treatment with the multi-kinase inhibitor sorafenib (BAY 43-9006)
25
11 38
12 23
13 53
14 253
15 29
16 162
17 89
18 23
19 17
20 77

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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