Nidal Boulos

1.3k citations
23 papers · 766 · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 2
    • Glioma Diagnosis and Treatment 6
    • Chronic Lymphocytic Leukemia Research 3

Nidal Boulos

22 papers receiving 762 citations

Peers

Nidal Boulos
Comparison fields: 5 of 79
  • Genetics 217
  • Cell Biology 123
  • Cancer Research 95
  • Molecular Biology 403
  • Oncology 128
Replace Deanna M. Patmore with:
Deanna M. Patmore United States
Shaheen Ahmed Pakistan
Shengping Yu China
Angela Bentivegna Italy
Chung Kwon Kim South Korea
William E. Dowdle United States
Masayasu Okada Japan
Oltea Sampetrean Japan
Zeng-jie Yang China
Hiromasa Tsuiki Japan
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Citations per field
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Deanna M. Patmore · 1×
Citations per year

Countries citing papers authored by Nidal Boulos

Since Specialization
Citations

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

Fields of papers citing papers by Nidal Boulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016242
2 2010166
3 201155
4 201050
5 201548
6 201445
7 201440
8 201525
9 201317
10 201215
11 201511
12 201811
13 201310
14 20157
15 20246
16 20074
17 20103
18 20163
19 20243
20 20102

About Nidal Boulos

Nidal Boulos is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Cell Biology, having authored 23 papers that have together received 766 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protein Degradation and Inhibitors (3 papers), Neuroblastoma Research and Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lysosomal Storage Disorders Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (217 citations), Cell Biology (123 citations), Cancer Research (95 citations), Molecular Biology (403 citations) and Oncology (128 citations). Nidal Boulos has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Richard J. Gilbertson, Clinton F. Stewart, David Finkelstein, Martine F. Roussel, Yogesh T. Patel, Megan O. Jacus, Timothy N. Phoenix, Sébastien Perreault, Yoon-Jae Cho and Scott Boop. Their work appears in journals such as Blood, Molecular Genetics and Metabolism, Drug Metabolism and Disposition, Developmental Cell and Journal of Natural Products.

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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