M. Alkhalaf

414 citations
20 papers · 338 · h-index 11

Impact in

Papers in

    • Estrogen and related hormone effects 10
    • Virus-based gene therapy research 2
    • Receptor Mechanisms and Signaling 2

M. Alkhalaf

18 papers receiving 326 citations

Peers

M. Alkhalaf
Comparison fields: 5 of 69
  • Genetics 180
  • Geriatrics and Gerontology 17
  • Oncology 109
  • Immunology 53
  • Reproductive Medicine 21
Replace Y. J. Bignon with:
Y. J. Bignon France
Anna Junjie Shangguan China
Elisabeth MC Strasser-Wozak Austria
Janet Dell United States
Mei-Shiue Kuo France
Tuğsan Tezil Türkiye
Tirzah Braz Petta Lajus Brazil
Viviana Vastolo Italy
S. Djahansouzi Germany
Cristina Rodríguez-Burford United States
M. Alkhalaf relative to Y. J. Bignon France Y. J. Bignon's profile →
Citations per field
00.5×1.7×
Y. J. Bignon · 1×
Citations per year

Countries citing papers authored by M. Alkhalaf

Since Specialization
Citations

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

Fields of papers citing papers by M. Alkhalaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M. Alkhalaf, 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 M. Alkhalaf Line = papers co-authored together M. Alkhalaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1992101
2 200334
3 199932
4 200223
5 199223
6 200822
7 199019
8 199213
9 200612
10 198912
11 199211
12 20087
13 19897
14 19937
15 19904
16 19914
17
Uterine epithelial cells in primary culture: a model system to study cell proliferation.
19904
18 20123
19 20090
20 20250

About M. Alkhalaf

M. Alkhalaf is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Agronomy and Crop Science, having authored 20 papers that have together received 338 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Reproductive System and Pregnancy (5 papers), Reproductive Physiology in Livestock (3 papers), Cancer Research and Treatments (2 papers), Virus-based gene therapy research (2 papers), Receptor Mechanisms and Signaling (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Genetics (180 citations), Geriatrics and Gerontology (17 citations), Oncology (109 citations), Immunology (53 citations) and Reproductive Medicine (21 citations). M. Alkhalaf has collaborated with scholars based in France, Kuwait and Canada. Frequent co-authors include Leigh C. Murphy, Abdalla M. El‐Mowafy, Helmut Dotzlaw, G Adessi, Sherif M. Karam, A. Y. Propper, Gitali Ganguli, Nadia Messaddeq, M Le Meur and Bohdan Wasylyk. Their work appears in journals such as Molecular Endocrinology, Journal of Endocrinology, International Journal of Cardiology, European Journal of Cancer Prevention and Reproduction.

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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