Nili Dahan

950 citations
14 papers · 767 · h-index 7

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Microtubule and mitosis dynamics
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

Nili Dahan

10 papers receiving 763 citations

Peers

Nili Dahan
Comparison fields: 5 of 68
  • Cell Biology 429
  • Physiology 55
  • Neurology 102
  • Aging 13
  • Molecular Biology 490
Replace Sharan Swarup with:
Sharan Swarup United States
Andrea L. Marat Canada
Veronika Reiterer Switzerland
Brant M. Webster United States
Monika Bug Germany
Emma Martínez‐Alonso Spain
Dongxue Mao United States
Alberto Danieli Austria
Julia Romanov Austria
Matthew Gallon United Kingdom
Nili Dahan relative to Sharan Swarup United States Sharan Swarup's profile →
Citations per field
00.5×1.5×1.9×
Sharan Swarup · 1×
Citations per year

Countries citing papers authored by Nili Dahan

Since Specialization
Citations

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

Fields of papers citing papers by Nili Dahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008275
2 2008190
3 2005143
4 200471
5 201243
6 202227
7 202111
8 20123
9 20043
10 20041
11 20250
12 20040
13 20040
14 20070

About Nili Dahan

Nili Dahan is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Oncology, having authored 14 papers that have together received 767 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Angiogenesis and VEGF in Cancer (2 papers), Mathematical Biology Tumor Growth (2 papers), Lipid metabolism and disorders (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Genomics and Diagnostics (1 paper), Psychology of Moral and Emotional Judgment (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (429 citations), Physiology (55 citations), Neurology (102 citations), Aging (13 citations) and Molecular Biology (490 citations). Nili Dahan has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Sima Lev, Diego Peretti, Eyal Shimoni, Koret Hirschberg, Sreekumar Ramachandran, Vladimir Litvak, Helena Sabanay, Mordechai Choder, Alla Shainskaya and Michal Harel. Their work appears in journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, Molecular Cell, Molecular Biology of the Cell and Trends in Cell 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.

Explore authors with similar magnitude of impact