Mohammed I. Hawa

4.3k citations
57 papers · 2.7k indexed · h-index 30
Topics
Diabetes and associated disorders (43 papers)Pancreatic function and diabetes (25 papers)Diabetes Management and Research (21 papers)

In The Last Decade

Mohammed I. Hawa

57 papers receiving 2.6k citations

Peers

Mohammed I. Hawa
Comparison fields: 5 of 106
  • Genetics 1.5k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 990
  • Molecular Biology 726
  • Immunology 407
Replace R. D. G. Leslie with:
R. D. G. Leslie United Kingdom
Henk‐Jan Aanstoot Netherlands
Edith Arany Canada
Michael R. Christie United Kingdom
Dong‐Kyu Jin South Korea
Patricia Crock Australia
F. Anders Karlsson Sweden
Paolo Comeglio Italy
Markus Bettendorf Germany
Jaime Guevara‐Aguirre United States
Mohammed I. Hawa relative to R. D. G. Leslie United Kingdom R. D. G. Leslie's profile →
Citations per field
00.5×3.4×
R. D. G. Leslie · 1×
Citations per year

Countries citing papers authored by Mohammed I. Hawa

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed I. Hawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed I. Hawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed I. Hawa. A scholar is included among the top collaborators of Mohammed I. Hawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammed I. Hawa. Mohammed I. Hawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2 5
3 125
4 40
5 33
6 82
7 8
8 5
9 30
10 19
11 22
12 33
13 215
14 40
15 45
16 156
17 15
18 18
19 23
20 40

About Mohammed I. Hawa

Mohammed I. Hawa is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 57 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (43 papers), Pancreatic function and diabetes (25 papers) and Diabetes Management and Research (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (1.5k citations) and Surgery (990 citations). Mohammed I. Hawa has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Richard David Leslie, R. D. G. Leslie, Huriya Beyan, R A Jackson, David A. Pyke, Paolo Pozzilli, Jonathan B. Jaspan, Marco Londei, Simon S. Lo and George S. Eisenbarth. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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