Abdul Khader Mohammed

71 papers receiving 1.2k citations

Peers

Abdul Khader Mohammed
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 302
  • Endocrinology, Diabetes and Metabolism 168
  • Nutrition and Dietetics 149
  • Physiology 226
  • Genetics 231
Replace Dan Gao with:
Dan Gao China
Marcell Alysson Batisti Lozovoy Brazil
Gertrud U. Schuster United States
Flavia Agata Cimini Italy
Huiping Yuan China
Luping Ren China
Merry J.G. Bolt United States
Justine Newson United Kingdom
Michela Rebsamen Switzerland
René Valéro France
Abdul Khader Mohammed relative to Dan Gao China Dan Gao's profile →
Citations per field
00.5×4.1×
Dan Gao · 1×
Citations per year

Countries citing papers authored by Abdul Khader Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Khader Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 201482
3 201950
4 201244
5 201343
6 202043
7 201341
8 201740
9 201336
10 201634
11 201232
12 201332
13 201328
14 201527
15 202125
16 201824
17 201424
18 201423
19 201921
20 201420

About Abdul Khader Mohammed

Abdul Khader Mohammed is a scholar working on Molecular Biology, Surgery, Genetics, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Vitamin D Research Studies (10 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes and associated disorders (8 papers), Adipose Tissue and Metabolism (6 papers), Bone health and osteoporosis research (5 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (302 citations), Endocrinology, Diabetes and Metabolism (168 citations), Nutrition and Dietetics (149 citations), Physiology (226 citations) and Genetics (231 citations). Abdul Khader Mohammed has collaborated with scholars based in United Arab Emirates, Saudi Arabia and United Kingdom. Frequent co-authors include Nasser M. Al‐Daghri, Majed S. Alokail, Omar S. Al‐Attas, Khalid M. Alkharfy, Jalal Taneera, Amal Alenad, Mario Clerici, Mohammed Ghouse Ahmed Ansari, Soundararajan Krishnaswamy and Mawieh Hamad. Their work appears in journals such as Molecular and Cellular Endocrinology, Scientific Reports, Experimental and Clinical Endocrinology & Diabetes, Gene and Genes.

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