Sigi Benjamin

740 citations
11 papers · 526 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 2
    • Genomics and Chromatin Dynamics 2
    • 14-3-3 protein interactions 1
    • Cellular transport and secretion 6
    • Endoplasmic Reticulum Stress and Disease 1

Sigi Benjamin

11 papers receiving 524 citations

Peers

Sigi Benjamin
Comparison fields: 5 of 66
  • Cell Biology 190
  • Aging 17
  • Molecular Biology 356
  • Physiology 18
  • Oncology 82
Replace David Trono with:
David Trono United States
Sébastien Nola France
Shiuan Wang United States
Patricia Culp United States
Tomoko Nishiyama Japan
Giovanna M. Collu United States
Sean Porazinski United Kingdom
Takashi Tatsumoto Japan
Marta Gai Italy
Kimiko Takei Japan
Sigi Benjamin relative to David Trono United States David Trono's profile →
Citations per field
00.5×11.4×
David Trono · 1×
Citations per year

Countries citing papers authored by Sigi Benjamin

Since Specialization
Citations

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

Fields of papers citing papers by Sigi Benjamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007123
2 2019101
3 201182
4 200271
5 200843
6 201128
7 200926
8 201225
9 202118
10 20085
11 20234

About Sigi Benjamin

Sigi Benjamin is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Genetics, having authored 11 papers that have together received 526 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Pancreatic function and diabetes (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cell Biology (190 citations), Aging (17 citations), Molecular Biology (356 citations), Physiology (18 citations) and Oncology (82 citations). Sigi Benjamin has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Nicolas Svetec, Li Zhao, Mia Horowitz, Hermann Steller, Debora Rapaport, Maya Bader, Alfred L. Goldberg, David M. Smith, Orly L. Wapinski and Rinat Rotem‐Yehudar. Their work appears in journals such as Biochemical Journal, Oncogene, Traffic, Cell and Journal of Cell Science.

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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