Neda Jabbari

462 citations
12 papers · 305 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1
    • Cancer Immunotherapy and Biomarkers 2

Neda Jabbari

12 papers receiving 301 citations

Peers

Neda Jabbari
Comparison fields: 5 of 95
  • Cancer Research 74
  • Molecular Biology 111
  • Oncology 35
  • Pharmacy 6
  • Parasitology 9
Replace Yiran Song with:
Yiran Song China
Mabel Brunotto Argentina
Hanne Callewaert Belgium
Wen Guo China
Renée Gras Netherlands
Akane Horie Japan
Cheng-Chih Huang Taiwan
Ya Jiang China
Zhentao Guo China
Neda Jabbari relative to Yiran Song China Yiran Song's profile →
Citations per field
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Yiran Song · 1×
Citations per year

Countries citing papers authored by Neda Jabbari

Since Specialization
Citations

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

Fields of papers citing papers by Neda Jabbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2022110
2 201839
3 201637
4 201434
5 201422
6 202019
7 201912
8
Evaluation of Fuzzy K-Means And K-Means Clustering Algorithms In Intrusion Detection Systems
201210
9 20189
10 20188
11 20203
12 20192

About Neda Jabbari

Neda Jabbari is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Computer Networks and Communications, having authored 12 papers that have together received 305 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Spam and Phishing Detection (1 paper), Advanced Welding Techniques Analysis (1 paper), Epigenetics and DNA Methylation (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Cancer Research (74 citations), Molecular Biology (111 citations), Oncology (35 citations), Pharmacy (6 citations) and Parasitology (9 citations). Neda Jabbari has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Alireza Ansari‐Moghaddam, Hassan Okati‐Aliabad, John F. McDonald, Lilya V. Matyunina, Roman Mezencev, Christopher Lausted, Qiang Tian, Xiaowei Yan, Raymond T. Doty and Li Liu. Their work appears in journals such as PLoS ONE, Cancer Letters, Fibers and Polymers, Journal of Obesity and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering 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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