Mohammed Abdalla

37 papers receiving 613 citations

Peers

Mohammed Abdalla
Comparison fields: 5 of 95
  • Equine 45
  • Reproductive Medicine 162
  • Endocrinology, Diabetes and Metabolism 105
  • Genetics 129
  • Molecular Medicine 19
Replace María Montserrat Rivera del Alamo with:
María Montserrat Rivera del Alamo Spain
Monique Tomazele Rovani Brazil
W. Bielański Poland
L.A. García-Pardo Spain
Timothy C. Smeaton Australia
E.G. Lo Turco Brazil
Yentel Mateo‐Otero Spain
P. L. Pakrasi India
BP Setchell Australia
Rodrigo Manjarín United States
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Citations per field
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Citations per year

Countries citing papers authored by Mohammed Abdalla

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Abdalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004172
2 202070
3 202055
4 202146
5 202140
6 200634
7 202427
8 202124
9 202123
10 202220
11 202118
12 202111
13
Studies on gangrenous mastitis in goats.
198810
14 20219
15 20217
16 20216
17 20246
18 20205
19 20145
20 20244

About Mohammed Abdalla

Mohammed Abdalla is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Pharmacology, having authored 41 papers that have together received 633 indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Liver Disease Diagnosis and Treatment (5 papers), Diabetes Treatment and Management (5 papers), Pharmacology and Obesity Treatment (3 papers), Reproductive Biology and Fertility (3 papers), Pancreatic function and diabetes (3 papers), Diet and metabolism studies (3 papers) and Geophysical and Geoelectrical Methods (2 papers). The work is most often cited by research in Equine (45 citations), Reproductive Medicine (162 citations), Endocrinology, Diabetes and Metabolism (105 citations), Genetics (129 citations) and Molecular Medicine (19 citations). Mohammed Abdalla has collaborated with scholars based in United Kingdom, Iran and Bahrain. Frequent co-authors include Thozhukat Sathyapalan, Harshal Deshmukh, Stephen L. Atkin, Albano Beja‐Pereira, Nuno Ferrand, Gordon Luikart, Steve Jordan, J. Jordana, Phillip R. England and Amel O. Bakhiet. Their work appears in journals such as Clinical Endocrinology, Therapeutic Advances in Endocrinology and Metabolism, Journal of Nutrition and Metabolism, Advances in Therapy and Archives of Gynecology and Obstetrics.

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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