Nabil Eid

3.9k citations
54 papers · 853 · h-index 18

Impact in

Papers in

    • Autophagy in Disease and Therapy 18
    • Orthopedic Surgery and Rehabilitation 3

Nabil Eid

47 papers receiving 826 citations

Peers

Nabil Eid
Comparison fields: 5 of 97
  • Reproductive Medicine 89
  • Epidemiology 278
  • Biochemistry 57
  • Pharmacology 103
  • Physiology 25
Replace Vijith Vijayan with:
Vijith Vijayan Germany
Yi Bao China
Enpeng Zhao China
Md Saha Jamaluddin United States
Peiliang Shi China
Yuko Akazawa Japan
Maria Francesconi Italy
Yankai Wen China
Xueke Zhao China
José Basílio Austria
Nabil Eid relative to Vijith Vijayan Germany Vijith Vijayan's profile →
Citations per field
00.5×3.6×
Vijith Vijayan · 1×
Citations per year

Countries citing papers authored by Nabil Eid

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 200256
3 202154
4 201153
5 202051
6 201648
7 198739
8 201637
9 202136
10 201134
11 201433
12 201927
13 201726
14 201826
15 200822
16 201920
17
An immunocompetent murine model of metastatic mammary cancer accessible to bioluminescence imaging.
200920
18 202318
19 202117
20 200216

About Nabil Eid

Nabil Eid is a scholar working on Epidemiology, Surgery, Pharmacology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 853 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Cannabis and Cannabinoid Research (10 papers), Peripheral Nerve Disorders (4 papers), Tracheal and airway disorders (4 papers), Sperm and Testicular Function (4 papers), Lipid metabolism and biosynthesis (4 papers), Alcohol Consumption and Health Effects (3 papers) and Orthopedic Surgery and Rehabilitation (3 papers). The work is most often cited by research in Reproductive Medicine (89 citations), Epidemiology (278 citations), Biochemistry (57 citations), Pharmacology (103 citations) and Physiology (25 citations). Nabil Eid has collaborated with scholars based in Japan, Malaysia and United Arab Emirates. Frequent co-authors include Yuko Ito, Yoshinori Otsuki, Kentaro Maemura, Y. Otsuki, Yoichi Kondo, Ernest Adeghate, Masaaki Shibata, Jaipaul Singh, Ken Takeshi Kusakabe and Karl W. Lanks. Their work appears in journals such as International Journal of Molecular Sciences, Clinical Anatomy, Journal of Molecular Histology, Frontiers in Pharmacology and World Journal of Gastroenterology.

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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