Manal Eid

21 papers receiving 566 citations

Peers

Manal Eid
Comparison fields: 5 of 81
  • Cancer Research 89
  • Immunology 119
  • Reproductive Medicine 43
  • Food Science 81
  • Plant Science 146
Replace Faisel M. Abuduhier with:
Faisel M. Abuduhier Saudi Arabia
Ji Eun Hong South Korea
Samira Asghari Iran
Maria Thanasoula United Kingdom
Mi Hwa Han South Korea
Jae Kwang Kim South Korea
Yanli Bi China
Ok‐Hee Kim South Korea
Sevda Menevşe Türkiye
Wenjing Fan China
Manal Eid relative to Faisel M. Abuduhier Saudi Arabia Faisel M. Abuduhier's profile →
Citations per field
00.5×3.1×
Faisel M. Abuduhier · 1×
Citations per year

Countries citing papers authored by Manal Eid

Since Specialization
Citations

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

Fields of papers citing papers by Manal Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Manal 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 Manal Eid Line = papers co-authored together Manal Eid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007184
2 201146
3 200446
4 201244
5 201336
6 201035
7 202030
8 201121
9
Mifepristone pretreatment overcomes resistance of prostate cancer cells to tumor necrosis factor alpha-related apoptosis-inducing ligand (TRAIL).
200221
10 202121
11 200220
12 200216
13 201315
14 200712
15 201412
16 20048
17 20145
18
TNF-alpha and CXCL-10 correlation with insulin resistance in patients with chronic hepatitis C virus infection.
20105
19 20222
20 20082

About Manal Eid

Manal Eid is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pharmacology and Physiology, having authored 22 papers that have together received 582 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cell death mechanisms and regulation (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), NF-κB Signaling Pathways (2 papers), Estrogen and related hormone effects (2 papers) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (89 citations), Immunology (119 citations), Reproductive Medicine (43 citations), Food Science (81 citations) and Plant Science (146 citations). Manal Eid has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Lisa Theobald, Mu Gao, Ronald W. Lewis, Debra Mohnen, Robert B. Shirley, Sahar M. El-Haggar, M. Vijay Kumar, Manish Kumar, Muhammad Tarek Abdel Ghafar and Tarek M. Mostafa. Their work appears in journals such as International Journal of Oncology, Journal of Investigative Medicine, Medical Oncology, The International Journal of Biological Markers and Molecular and Cellular Biochemistry.

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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