Hedva Gonen

2.3k citations
24 papers · 1.9k · h-index 20

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Ubiquitin and proteasome pathways
    • Cell death mechanisms and regulation
    • Developmental Biology and Gene Regulation

Papers in

    • Ubiquitin and proteasome pathways 21
    • Cell death mechanisms and regulation 6
    • Cancer-related Molecular Pathways 5
    • Peptidase Inhibition and Analysis 5

Hedva Gonen

24 papers receiving 1.9k citations

Peers

Hedva Gonen
Comparison fields: 5 of 89
  • Cell Biology 451
  • Molecular Biology 1.6k
  • Aging 36
  • Oncology 433
  • Cancer Research 203
Replace Kevin L. Lorick with:
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Hedva Gonen relative to Kevin L. Lorick United States Kevin L. Lorick's profile →
Citations per field
00.5×1.5×
Kevin L. Lorick · 1×
Citations per year

Countries citing papers authored by Hedva Gonen

Since Specialization
Citations

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

Fields of papers citing papers by Hedva Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hedva Gonen, 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 Hedva Gonen Line = papers co-authored together Hedva Gonen 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 2001305
2 2002242
3 1995147
4 1994144
5 2016128
6 1998104
7 1999102
8 200396
9 201587
10 199768
11 198368
12 199462
13 200152
14 200749
15 199438
16 199633
17 200533
18 199431
19 199630
20 199128

About Hedva Gonen

Hedva Gonen is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Cancer Research, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (21 papers), Cell death mechanisms and regulation (6 papers), Cancer-related Molecular Pathways (5 papers), Peptidase Inhibition and Analysis (5 papers), NF-κB Signaling Pathways (3 papers), Autophagy in Disease and Therapy (3 papers), interferon and immune responses (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (451 citations), Molecular Biology (1.6k citations), Aging (36 citations), Oncology (433 citations) and Cancer Research (203 citations). Hedva Gonen has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Aaron Ciechanover, Alan L. Schwartz, Hermann Steller, Hyung Don Ryoo, Andreas Bergmann, Amir Orian, Alain Israël, Christel Brou, O. Le Bail and Frédérique Logeat. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Nature 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.

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