Feda H. Hamdan

1.0k citations
27 papers · 536 · h-index 17

Impact in

Papers in

    • Protein Degradation and Inhibitors 7
    • Histone Deacetylase Inhibitors Research 5
    • Chromatin Remodeling and Cancer 5
    • Ubiquitin and proteasome pathways 4
    • RNA modifications and cancer 3

Feda H. Hamdan

25 papers receiving 534 citations

Peers

Feda H. Hamdan
Comparison fields: 5 of 58
  • Hepatology 48
  • Cancer Research 92
  • Oncology 132
  • Molecular Biology 308
  • Genetics 32
Replace Nicole P. Ho with:
Nicole P. Ho Hong Kong
Per Lund Germany
Weimin Hu United States
Sander P.J. Joosten Netherlands
Hideaki Oe Japan
Andrea Schienke Germany
Lisa Lock Canada
Daniela R. Macció Argentina
Purnima K. Wagh United States
Rosa Viñas-Castells Spain
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Citations per field
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Citations per year

Countries citing papers authored by Feda H. Hamdan

Since Specialization
Citations

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

Fields of papers citing papers by Feda H. Hamdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feda H. Hamdan. 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 Feda H. Hamdan. The network helps show where Feda H. Hamdan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201857
2 202045
3 202042
4 202040
5 201940
6 202134
7 201928
8 201926
9 201624
10 202122
11 202222
12 201422
13 202420
14 202119
15 202118
16 201918
17 201916
18 202112
19 201711
20 20236

About Feda H. Hamdan

Feda H. Hamdan is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Physiology, having authored 27 papers that have together received 536 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Histone Deacetylase Inhibitors Research (5 papers), Chromatin Remodeling and Cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (3 papers), Liver physiology and pathology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Hepatology (48 citations), Cancer Research (92 citations), Oncology (132 citations), Molecular Biology (308 citations) and Genetics (32 citations). Feda H. Hamdan has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Steven A. Johnsen, Malek Zihlif, Ana P. Kutschat, Robyn Laura Kosinsky, Vijayalakshmi Kari, Florian Wegwitz, Jochen Gaedcke, Vijay H. Shah, Robert C. Huebert and Nidhi Jalan‐Sakrikar. Their work appears in journals such as Gastroenterology, Cancer Research, Journal of Clinical Investigation, Clinical Epigenetics and Cancers.

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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