Nurit Wolf

1.3k citations
15 papers · 1.1k · h-index 13

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 9
    • Microtubule and mitosis dynamics 2
    • Muscle metabolism and nutrition 2

Nurit Wolf

14 papers receiving 1.0k citations

Peers

Nurit Wolf
Comparison fields: 5 of 81
  • Aging 627
  • Endocrine and Autonomic Systems 103
  • Cell Biology 234
  • Molecular Biology 631
  • Genetics 232
Replace Mary E. Kosinski with:
Mary E. Kosinski United States
Gillian M. Stanfield United States
Diane C. Shakes United States
Andrew W. Singson United States
Peter G. Okkema United States
Stacie E. Hughes United States
Dustin L. Updike United States
Zdeněk Kostrouch United States
Penny L. Sadler United States
Carlos Egydio de Carvalho Canada
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Citations per field
00.5×2×3.1×
Mary E. Kosinski · 1×
Citations per year

Countries citing papers authored by Nurit Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Nurit Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nurit Wolf, 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 Nurit Wolf Line = papers co-authored together Nurit Wolf links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1980139
2 1978138
3 1996134
4 1976127
5 1994108
6 198389
7 198882
8 198673
9 198951
10 198750
11 198841
12 197934
13 199014
14 20034
15 19900

About Nurit Wolf

Nurit Wolf is a scholar working on Aging, Cell Biology, Genetics, Endocrine and Autonomic Systems and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), CRISPR and Genetic Engineering (4 papers), Evolution and Genetic Dynamics (4 papers), Microtubule and mitosis dynamics (2 papers), Muscle metabolism and nutrition (2 papers), Circadian rhythm and melatonin (2 papers), Reproductive Biology and Fertility (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Aging (627 citations), Endocrine and Autonomic Systems (103 citations), Cell Biology (234 citations), Molecular Biology (631 citations) and Genetics (232 citations). Nurit Wolf has collaborated with scholars based in United States. Frequent co-authors include David Hirsh, William B. Wood, Michael R. Klass, Kenneth J. Kemphues, J. Richard McIntosh, Margaret T. Fuller, Lois G. Edgar, James R Priess, Meredith Kusch and Ralph M. Hecht. Their work appears in journals such as Developmental Biology, Development, Genetics, Journal of Molecular Biology and American Journal of Physiology-Cell Physiology.

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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