T.C. Mathew

2.2k citations
54 papers · 1.7k · h-index 23

Impact in

Papers in

T.C. Mathew

52 papers receiving 1.7k citations

Peers

T.C. Mathew
Comparison fields: 5 of 113
  • Developmental Neuroscience 139
  • Physiology 818
  • Endocrinology, Diabetes and Metabolism 507
  • Cellular and Molecular Neuroscience 306
  • Clinical Biochemistry 98
Replace Elena Silvestri with:
Elena Silvestri Italy
Naoya Nakai Japan
Mahmoud M. Khattab Egypt
Jolanta Jaworek Poland
Emina Sudar-Milovanović Serbia
Saadet Gümüşlü Türkiye
Ardesio Floridi Italy
Aron Jurkiewicz Brazil
Raffaella Nicolai Italy
Odile Dumont France
T.C. Mathew relative to Elena Silvestri Italy Elena Silvestri's profile →
Citations per field
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Elena Silvestri · 1×
Citations per year

Countries citing papers authored by T.C. Mathew

Since Specialization
Citations

This map shows the geographic impact of T.C. Mathew'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 T.C. Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.C. Mathew more than expected).

Fields of papers citing papers by T.C. Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012244
2 2007128
3 2008121
4
Long-term effects of a ketogenic diet in obese patients.
2004113
5 2006108
6 1991108
7 199493
8 200761
9 200953
10 200247
11 199345
12 199045
13 202042
14 199739
15 200337
16 200435
17 200035
18 199832
19 200732
20 199330

About T.C. Mathew

T.C. Mathew is a scholar working on Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Nutrition and Dietetics, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Diet, Metabolism, and Disease (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Trace Elements in Health (7 papers), Nerve injury and regeneration (5 papers), Selenium in Biological Systems (5 papers), Heavy Metal Exposure and Toxicity (4 papers) and Tea Polyphenols and Effects (4 papers). The work is most often cited by research in Developmental Neuroscience (139 citations), Physiology (818 citations), Endocrinology, Diabetes and Metabolism (507 citations), Cellular and Molecular Neuroscience (306 citations) and Clinical Biochemistry (98 citations). T.C. Mathew has collaborated with scholars based in Kuwait, Canada and Ghana. Frequent co-authors include Hussein Dashti, Naji Al‐Zaid, Sami Asfar, Freda D. Miller, H. Dashti, Ali A. Dashti, A. Al‐Bader, H. Al‐Sayer, Jean G. Toma and H. Abul. Their work appears in journals such as Nutrition, Molecular and Cellular Biochemistry, Developmental Biology, The Journal of Cell Biology and Pathology & Oncology Research.

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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