Idit Shiff

699 citations
8 papers · 500 · h-index 6

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • Single-cell and spatial transcriptomics 2
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Machine Learning in Bioinformatics 1
    • Cancer-related Molecular Pathways 3
    • Pancreatic and Hepatic Oncology Research 1

Idit Shiff

8 papers receiving 494 citations

Peers

Idit Shiff
Comparison fields: 5 of 55
  • Oncology 307
  • Cancer Research 93
  • Molecular Biology 341
  • Pathology and Forensic Medicine 79
  • Biotechnology 36
Replace Revital Maor-Aloni with:
Revital Maor-Aloni Israel
Yuichi Yamaga Japan
Angela Nakauka‐Ddamba United States
Yvette Garbe Germany
Gudrun Hager Austria
Sonja Dullat Germany
Ansu O. Perekatt United States
Andrew M. Diaz United States
Feda H. Hamdan United States
Hannah Brinkmann United Kingdom
Idit Shiff relative to Revital Maor-Aloni Israel Revital Maor-Aloni's profile →
Citations per field
00.5×3.5×
Revital Maor-Aloni · 1×
Citations per year

Countries citing papers authored by Idit Shiff

Since Specialization
Citations

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

Fields of papers citing papers by Idit Shiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2010196
2 2020124
3 201589
4 200849
5 201130
6 20107
7 20233
8 20232

About Idit Shiff

Idit Shiff is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 8 papers that have together received 500 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced Chemical Sensor Technologies (1 paper), Machine Learning in Bioinformatics (1 paper), Phagocytosis and Immune Regulation (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (307 citations), Cancer Research (93 citations), Molecular Biology (341 citations), Pathology and Forensic Medicine (79 citations) and Biotechnology (36 citations). Idit Shiff has collaborated with scholars based in Israel and United States. Frequent co-authors include Itamar Simon, Eyal Kalo, Lilach Weisz, Perry Stambolsky, Giulia Fontemaggi, Ira Kogan, Moshe Oren, Giovanni Blandino, Yuval Tabach and Revital Maor-Aloni. Their work appears in journals such as Nature Communications, Cancer Cell, Bioinformatics, Molecular Cell and Current 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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