N. Navot

24 papers receiving 1.3k citations

Peers

N. Navot
Comparison fields: 5 of 65
  • Horticulture 90
  • Endocrinology 175
  • Plant Science 1.1k
  • Insect Science 325
  • Biotechnology 133
Replace Sharon B. Settlage with:
Sharon B. Settlage United States
Mark T. Andersen New Zealand
P. V. Shivaprasad India
Araceli G. Castillo Spain
Jianbin Lai China
Jian‐Hua Zhao China
José Trinidad Ascencio‐Ibáñez United States
Bénédicte Desvoyes Spain
Tibor Csorba Hungary
Etienne Bucher Switzerland
N. Navot relative to Sharon B. Settlage United States Sharon B. Settlage's profile →
Citations per field
00.5×1.6×
Sharon B. Settlage · 1×
Citations per year

Countries citing papers authored by N. Navot

Since Specialization
Citations

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

Fields of papers citing papers by N. Navot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991391
2 1994263
3
Wild-type but not mutant p53 can repress transcription initiation in vitro by interfering with the binding of basal transcription factors to the TATA motif.
1993142
4 199490
5 198774
6 199652
7 199251
8 198545
9 198945
10 198443
11 199042
12 199032
13 199331
14 199325
15 198620
16 198920
17 198810
18 199910
19 199310
20
Field-usable assay for diagnosis of the tomato yellow leaf curl virus in squashes of plants and insects by hybridization with a chromogenic DNA probe.
19898

About N. Navot

N. Navot is a scholar working on Horticulture, Plant Science, Biotechnology, Insect Science and Endocrinology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant tissue culture and regeneration (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Advances in Cucurbitaceae Research (4 papers), Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Insect-Plant Interactions and Control (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Horticulture (90 citations), Endocrinology (175 citations), Plant Science (1.1k citations), Insect Science (325 citations) and Biotechnology (133 citations). N. Navot has collaborated with scholars based in Israel, Spain and United Kingdom. Frequent co-authors include Dani Zamir, Henryk Czosnek, Eran Pichersky, Daniel Zamir, Varda Rotter, Anat Krauskopf, Yosef Aloni, Moshe Oren, Orit Foord and M. Zeidan. Their work appears in journals such as Theoretical and Applied Genetics, Phytopathology, Plant Systematics and Evolution, Molecular and Cellular Biology and British Journal of Haematology.

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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