May Abu‐Taha

13 papers receiving 635 citations

Peers

May Abu‐Taha
Comparison fields: 5 of 86
  • Geriatrics and Gerontology 47
  • Behavioral Neuroscience 22
  • Biological Psychiatry 14
  • Endocrinology, Diabetes and Metabolism 84
  • Immunology 92
Replace Mohamed Samir Ahmed Zaki with:
Mohamed Samir Ahmed Zaki Saudi Arabia
Mariateresa Ambrosio Italy
Wael A. Alanazi Saudi Arabia
Ye Li China
Yifang Li China
Victor Samokhvalov Canada
Kyeong-A Kim South Korea
Reem N. El‐Naga Egypt
Lisha Zhao China
Bahia Djerdjouri Algeria
May Abu‐Taha relative to Mohamed Samir Ahmed Zaki Saudi Arabia Mohamed Samir Ahmed Zaki's profile →
Citations per field
00.5×5.2×
Mohamed Samir Ahmed Zaki · 1×
Citations per year

Countries citing papers authored by May Abu‐Taha

Since Specialization
Citations

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

Fields of papers citing papers by May Abu‐Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Abu‐Taha. 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 May Abu‐Taha. The network helps show where May Abu‐Taha may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2021152
2 2009136
3 201092
4 200691
5 200765
6 201057
7 202022
8 201713
9
HYPOGLYCEMIC EFFECT OF TRIGONELLINE ISOLATED FROM IRAQI FENUGREEK SEEDS IN NORMAL AND ALLOXAN-DIABETIC RABBITS
20127
10 20214
11 20193
12 20202
13 20231

About May Abu‐Taha

May Abu‐Taha is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 13 papers that have together received 645 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (1 paper), Coffee research and impacts (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Insect Utilization and Effects (1 paper), Phosphodiesterase function and regulation (1 paper), Bee Products Chemical Analysis (1 paper), Chemokine receptors and signaling (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Geriatrics and Gerontology (47 citations), Behavioral Neuroscience (22 citations), Biological Psychiatry (14 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Immunology (92 citations). May Abu‐Taha has collaborated with scholars based in Jordan, Spain and Canada. Frequent co-authors include María‐Jesús Sanz, Julio Cortijo, Andrew C. Issekutz, Esteban Morcillo, Muna Barakat, Asma Ismail Mahmod, Wamidh H. Talib, Ahmad R. Alsayed, Carlos Hermenegildo and Cristina Rius. Their work appears in journals such as The Journal of Immunology, Biomedicines, Journal of Multidisciplinary Healthcare, International Journal of Clinical Practice and British Journal of Pharmacology.

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.

Explore authors with similar magnitude of impact