Elizabeth J. Taparowsky

6.7k citations
74 papers · 5.6k indexed · 2 hit papers · h-index 39
Topics
Immune Cell Function and Interaction (18 papers)Muscle Physiology and Disorders (12 papers)T-cell and B-cell Immunology (12 papers)

In The Last Decade

Elizabeth J. Taparowsky

74 papers receiving 5.3k citations

Hit Papers

Activation of the T24 bladder carcinoma transforming gene...198220261996201119821983100200300400500

Peers

Elizabeth J. Taparowsky
Comparison fields: 5 of 118
  • Molecular Biology 3.3k
  • Immunology 1.7k
  • Oncology 1.4k
  • Genetics 658
  • Cancer Research 592
Replace Issay Kitabayashi with:
Issay Kitabayashi Japan
Anne Hakem Canada
James B. Lorens Norway
Tetsu Kamitani United States
Christopher S. Gilbert United Kingdom
Satoru Senju Japan
Paolo Vezzoni Italy
Rikiro Fukunaga Japan
Kei-ichi Nakayama Japan
Grazia Ambrosini United States
Elizabeth J. Taparowsky relative to Issay Kitabayashi Japan Issay Kitabayashi's profile →
Citations per field
00.5×1.5×
Issay Kitabayashi · 1×
Citations per year

Countries citing papers authored by Elizabeth J. Taparowsky

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth J. Taparowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth J. Taparowsky. 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 Elizabeth J. Taparowsky. The network helps show where Elizabeth J. Taparowsky may publish in the future.

Co-authorship network of co-authors of Elizabeth J. Taparowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth J. Taparowsky. A scholar is included among the top collaborators of Elizabeth J. Taparowsky 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 Elizabeth J. Taparowsky. Elizabeth J. Taparowsky 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
#WorkIndexed citations
1 116
2 95
3 190
4 188
5 187
6 26
7 9
8 1
9 13
10 41
11 30
12 48
13 12
14 44
15 6
16 250
17 76
18 26
19 65
20 6

About Elizabeth J. Taparowsky

Elizabeth J. Taparowsky is a scholar working on Immunology, Molecular Biology and Oncology, having authored 74 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Muscle Physiology and Disorders (12 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.4k citations) and Molecular Biology (3.3k citations). Elizabeth J. Taparowsky has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Michael Wigler, Mitchell Goldfarb, Kenji Shimizu, Stephen F. Konieczny, Ottavio Fasano, Chang H. Kim, Tushar Vaidya, Myung H. Kim, Simon J. Rhodes and Charles Vinson. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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