Sofia Asim Rahman

19 papers receiving 982 citations

Peers

Sofia Asim Rahman
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 117
  • Clinical Biochemistry 45
  • Genetics 243
  • Surgery 306
  • Endocrinology, Diabetes and Metabolism 108
Replace Akiko Imamura with:
Akiko Imamura Japan
John Mace United States
Alicja A. Skowronski United States
Carlo Franzini Italy
Troels G. Bock Denmark
Ayako Kojima Japan
Tatsuro Izumi Japan
Sema Kalkan Uçar Türkiye
Marie-Noëlle Gangnerau France
J. J. P. Schrander Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Sofia Asim Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Asim Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Asim Rahman. 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 Sofia Asim Rahman. The network helps show where Sofia Asim Rahman may publish in the future.

Co-authors

The 25 scholars most cited alongside Sofia Asim Rahman, 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 Sofia Asim Rahman Line = papers co-authored together Sofia Asim Rahman 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 2013313
2 2015172
3 201796
4 201684
5 202065
6 201550
7 201645
8 201944
9 201731
10 201330
11 201523
12 201719
13 201914
14 20208
15 20183
16 20162
17 20202
18 20151
19 20171
20 20140

About Sofia Asim Rahman

Sofia Asim Rahman is a scholar working on Clinical Biochemistry, Surgery, Endocrine and Autonomic Systems, Genetics and Rheumatology, having authored 21 papers that have together received 1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism and Genetic Disorders (4 papers), Regulation of Appetite and Obesity (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Genomics and Rare Diseases (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers), RNA and protein synthesis mechanisms (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (117 citations), Clinical Biochemistry (45 citations), Genetics (243 citations), Surgery (306 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Sofia Asim Rahman has collaborated with scholars based in United Kingdom, Türkiye and Qatar. Frequent co-authors include Khalid Hussain, María Güemes, Pratik Shah, Hüseyin Demirbilek, Sarah Elizabeth Flanagan, Mehul Dattani, Senthil Senniappan, Ritika R. Kapoor, Jayne Houghton and Shivani Misra. Their work appears in journals such as Journal of Clinical Investigation, Journal of Molecular Endocrinology, Archives of Disease in Childhood, The Lancet Diabetes & Endocrinology and Cell Reports.

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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