M. Alkhalaf

19 papers receiving 335 citations

Peers

M. Alkhalaf
Comparison fields: 5 of 40
  • Genetics 144
  • Geriatrics and Gerontology 14
  • Oncology 24
  • Agronomy and Crop Science 9
  • Cancer Research 8
Replace Shangle Qi with:
Shangle Qi Canada
Helena Raurell‐Vila Spain
Yanting Jiang China
Carl G. Castles United States
Francis-Dean A. Uchima United States
Manuel Chan Canada
Jiro Fujimoto Japan
Tianhe Li China
Joyce A. D. Andrade Brazil
Gloria Muñoz Spain
M. Alkhalaf relative to Shangle Qi Canada Shangle Qi's profile →
Citations per field
00.5×2×3.3×
Shangle Qi · 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 21 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992110
2 199935
3 200335
4 199229
5 199023
6 200222
7 200822
8 199217
9 198912
10 200612
11 199211
12 199311
13 20088
14 19896
15
Uterine epithelial cells in primary culture: a model system to study cell proliferation.
19904
16 19904
17 19913
18 20123
19 19872
20 20090

About M. Alkhalaf

M. Alkhalaf is a scholar working on Genetics, Geriatrics and Gerontology, Agronomy and Crop Science, Cancer Research and Oncology, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Sepsis Diagnosis and Treatment (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Breast Cancer Treatment Studies (1 paper), Reproductive Physiology in Livestock (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Genetics (144 citations), Geriatrics and Gerontology (14 citations), Oncology (24 citations), Agronomy and Crop Science (9 citations) and Cancer Research (8 citations). M. Alkhalaf has collaborated with scholars based in France, Kuwait and Canada. Frequent co-authors include Leigh C. Murphy, Helmut Dotzlaw, Abdalla M. El‐Mowafy, G Adessi, Sherif M. Karam, Alain Y. Propper, Gitali Ganguli, Nadia Messaddeq, Marianne LeMeur and Bohdan Wasylyk. Their work appears in journals such as Molecular Endocrinology, Journal of Endocrinology, Reproduction, Molecular and Cellular Endocrinology and The Journal of Steroid Biochemistry and Molecular Biology.

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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