Tamar Michaeli

3.0k citations
30 papers · 2.6k · h-index 19

Impact in

    • Phosphodiesterase function and regulation
    • Fungal and yeast genetics research
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Phosphodiesterase function and regulation 10
    • Fungal and yeast genetics research 9
    • Protein Kinase Regulation and GTPase Signaling 8
    • Receptor Mechanisms and Signaling 3
    • Cholinesterase and Neurodegenerative Diseases 6

Tamar Michaeli

29 papers receiving 2.4k citations

Peers

Tamar Michaeli
Comparison fields: 5 of 90
  • Molecular Biology 2.1k
  • Pharmacology 421
  • Cell Biology 358
  • Aging 26
  • Immunology 293
Replace Jeannette Kunz with:
Jeannette Kunz Kazakhstan
Shinichiro Toki Japan
Zhixue Liu China
Brian A. Perrino United States
María Julia Marinissen United States
Ulla E. Petäjä‐Repo Finland
Andrés J. López‐Contreras Spain
Takashi Yasukawa Japan
Kerstin Quandt Germany
Xiaoju Max United States
Tamar Michaeli relative to Jeannette Kunz Kazakhstan Jeannette Kunz's profile →
Citations per field
00.5×1.5×2.0×
Jeannette Kunz · 1×
Citations per year

Countries citing papers authored by Tamar Michaeli

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Michaeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamar Michaeli, 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 Tamar Michaeli Line = papers co-authored together Tamar Michaeli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987430
2 1993256
3 1990212
4 1993209
5 1993181
6 1989165
7 2012138
8 1989128
9 1997104
10 1990102
11 2001102
12 199976
13 198867
14 199766
15 198853
16 199649
17 198945
18 199441
19 200631
20 198717

About Tamar Michaeli

Tamar Michaeli is a scholar working on Molecular Biology, Pharmacology, Genetics, Oncology and Plant Science, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (10 papers), Fungal and yeast genetics research (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Bacterial Genetics and Biotechnology (3 papers), Plant Virus Research Studies (3 papers), Receptor Mechanisms and Signaling (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Pharmacology (421 citations), Cell Biology (358 citations), Aging (26 citations) and Immunology (293 citations). Tamar Michaeli has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Michael Wigler, M Riggs, Linda Rodgers, Carmen Birchmeier, Scott Powers, Graeme B. Bolger, K M Ferguson, John Colicelli, Daniel Broek and Mark J. Zoller. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Cell, Science and Current Genetics.

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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