Yael Teitz

404 citations
28 papers · 351 indexed · h-index 12

Yael Teitz

28 papers receiving 326 citations

Peers

Yael Teitz
Comparison fields: 5 of 58
  • Virology 44
  • Oncology 110
  • Organic Chemistry 100
  • Infectious Diseases 56
  • Toxicology 8
Replace D Ronen with:
D Ronen Israel
Geraldine Bebernitz United States
Richard Liou United States
Jenefer Alam Singapore
H Pelletier France
Malcolm R. Boyd United Kingdom
Susumu Sano Japan
Juili Lin-Goerke United States
Céline F Sautel France
Annabelle Renard France
Yael Teitz relative to D Ronen Israel D Ronen's profile →
Citations per field
00.5×1.5×
D Ronen · 1×
Citations per year

Countries citing papers authored by Yael Teitz

Since Specialization
Citations

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

Fields of papers citing papers by Yael Teitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yael Teitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yael Teitz Line = papers co-authored together Yael Teitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Induction of HL-60 cells to undergo apoptosis is determined by high levels of wild-type p53 protein whereas differentiation of the cells is mediated by lower p53 levels.
199661
2 199469
3 199429
4 19942
5 19942
6 199213
7 19903
8 19889
9 198719
10 19856
11 198416
12 19813
13 19803
14 19795
15 19741
16 197123
17
Transformation and virus production in normal rat thymus cells and those infected with Moloney leukemia virus.
19709
18 19691
19 19684
20 196811

About Yael Teitz

Yael Teitz is a scholar working on Virology, Immunology, Genetics, Hepatology and Biotechnology, having authored 28 papers that have together received 351 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), T-cell and Retrovirus Studies (7 papers), HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Herpesvirus Infections and Treatments (4 papers), HIV/AIDS drug development and treatment (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Porphyrin Metabolism and Disorders (2 papers). The work is most often cited by research in Virology (44 citations), Oncology (110 citations), Organic Chemistry (100 citations), Infectious Diseases (56 citations) and Toxicology (8 citations). Yael Teitz has collaborated with scholars based in Israel and United States. Frequent co-authors include D Ronen, Naomi Goldfinger, John L. Riggs, Dov Schwartz, A. Traub, Levana Sherman, Lyndon S. Oshiro, Natalie E. Cremer, Edwin H. Lennette and Shoshana Bar‐Nun. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Antiviral Research, Experimental Cell Research, JNCI Journal of the National Cancer Institute and Advances in experimental medicine and biology.

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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