Nicholas Shukeir

1.9k citations
17 papers · 1.4k · h-index 14

Impact in

  • Aging top 2%
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Wnt/β-catenin signaling in development and cancer

Papers in

    • Cancer-related gene regulation 9
    • Genomics and Chromatin Dynamics 8
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 4
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Prostate Cancer Treatment and Research 4

Nicholas Shukeir

16 papers receiving 1.4k citations

Peers

Nicholas Shukeir
Comparison fields: 5 of 87
  • Aging 106
  • Molecular Biology 1.2k
  • Cancer Research 185
  • Pulmonary and Respiratory Medicine 198
  • Genetics 142
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas Shukeir

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Shukeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012249
2 2004240
3 2011182
4 2012138
5 2017131
6 2006124
7 201085
8 202166
9
Prostate secretory protein PSP-94 decreases tumor growth and hypercalcemia of malignancy in a syngenic in vivo model of prostate cancer.
200361
10 202053
11 200434
12 201531
13 202124
14 202413
15 200511
16 20051
17 20250

About Nicholas Shukeir

Nicholas Shukeir is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Neuropsychology and Physiological Psychology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (6 papers), Prostate Cancer Treatment and Research (4 papers), RNA modifications and cancer (4 papers), Bone health and treatments (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (106 citations), Molecular Biology (1.2k citations), Cancer Research (185 citations), Pulmonary and Respiratory Medicine (198 citations) and Genetics (142 citations). Nicholas Shukeir has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Shafaat A. Rabbani, Thomas Jenuwein, Gaoping Chen, David Goltzman, Kanishka Sircar, Armen Aprikian, Anil Potti, Moshe Szyf, Monika Lachner and Pouya Pakneshan. Their work appears in journals such as Nature Communications, Cancer Research, Cell Metabolism, Cancer and Nature Structural & Molecular 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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