Mathew John

1.8k citations
59 papers · 1.3k · h-index 18

Impact in

Papers in

Mathew John

55 papers receiving 1.2k citations

Peers

Mathew John
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 470
  • Orthopedics and Sports Medicine 47
  • Epidemiology 147
  • Nephrology 42
  • Obstetrics and Gynecology 37
Replace Bashir Ahmad Laway with:
Bashir Ahmad Laway India
Atieh Amouzegar Iran
Srividya Kidambi United States
James J. Chamberlain United States
Dyah Purnamasari Indonesia
Barbara Cresci Italy
Marie‐Hélène Gannagé‐Yared Lebanon
Soghra Rabizadeh Iran
Mi Hae Seo South Korea
盛国太 China
Mathew John relative to Bashir Ahmad Laway India Bashir Ahmad Laway's profile →
Citations per field
00.5×2×2.8×
Bashir Ahmad Laway · 1×
Citations per year

Countries citing papers authored by Mathew John

Since Specialization
Citations

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

Fields of papers citing papers by Mathew John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013266
2
Prevalence of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus.
2009171
3 2019138
4 200684
5 201366
6 200657
7 200835
8
Aetiological, clinical and metabolic profile of hypokalaemic periodic paralysis in adults: a single-centre experience.
200734
9 201734
10 201726
11 202223
12 201122
13 201422
14
Intranasal administration of insulin lowers amyloid-beta levels in rat model of diabetes.
201221
15 201119
16 201519
17 202219
18 200918
19 201518
20 201618

About Mathew John

Mathew John is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Pharmacy, Emergency Medicine and Orthopedics and Sports Medicine, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Thyroid Disorders and Treatments (4 papers), Diabetes Management and Research (4 papers), Diabetes Management and Education (2 papers), Potassium and Related Disorders (1 paper), Pregnancy and preeclampsia studies (1 paper), HIV-related health complications and treatments (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (470 citations), Orthopedics and Sports Medicine (47 citations), Epidemiology (147 citations), Nephrology (42 citations) and Obstetrics and Gynecology (37 citations). Mathew John has collaborated with scholars based in India, Bangladesh and Sri Lanka. Frequent co-authors include Sanjay Kalra, Rakesh Kumar Sahay, AmbikaGopalakrishnan Unnikrishnan, Ganapathi Bantwal, Nihal Thomas, Ambika Unnikrishnan, Tushar Bandgar, Mandalam Subramaniam Seshadri, Shashank Joshi and Saurabh Shah. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Diabetes Obesity and Metabolism, Diabetes Therapy, Clinical Biochemistry and Pituitary.

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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