Fernando Abdulkader

2.0k citations
38 papers · 1.3k · h-index 20

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Lipid Membrane Structure and Behavior 6
    • Pancreatic function and diabetes 16

Fernando Abdulkader

36 papers receiving 1.3k citations

Peers

Fernando Abdulkader
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 321
  • Surgery 597
  • Nutrition and Dietetics 156
  • Physiology 226
  • Biochemistry 61
Replace Haruyuki Tatsumi with:
Haruyuki Tatsumi Japan
Blanca Rubı́ Spain
Kashan Ahmed Germany
Alexander M. Efanov Sweden
B Filippi Canada
Duna Massillon United States
Xiaosu Wu United States
Safia Costes France
Yu‐Chiang Lai United Kingdom
Andrew McBride United Kingdom
Fernando Abdulkader relative to Haruyuki Tatsumi Japan Haruyuki Tatsumi's profile →
Citations per field
00.5×2×3×4×5×
Haruyuki Tatsumi · 1×
Citations per year

Countries citing papers authored by Fernando Abdulkader

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Abdulkader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009167
2 2008149
3 2012125
4 2009108
5 200893
6 200879
7 200867
8 201059
9 201157
10 200655
11 201740
12 202030
13 201930
14 200929
15 201926
16 200423
17 200622
18 201122
19 201421
20 202019

About Fernando Abdulkader

Fernando Abdulkader is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Cell Biology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (6 papers), Lipid Membrane Structure and Behavior (6 papers), Diabetes Management and Research (5 papers), Electrochemical Analysis and Applications (4 papers), Diabetes and associated disorders (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (321 citations), Surgery (597 citations), Nutrition and Dietetics (156 citations), Physiology (226 citations) and Biochemistry (61 citations). Fernando Abdulkader has collaborated with scholars based in Brazil, United Kingdom and Sweden. Frequent co-authors include Rui Curi, Ângelo Rafael Carpinelli, Patrik Rorsman, Eduardo Rebelato, Joaquim Procópio, Matthias Braun, Juris Galvanovskis, Manoel Arcísio-Miranda, Lena Eliasson and Michael B. Hoppa. Their work appears in journals such as Journal of Endocrinology, Endocrinology, Diabetologia, Journal of Lipid Research and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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