Kawaljit Matharoo
- Geriatrics and Gerontology top 10%
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- Forensic and Genetic Research 8
- Genetic diversity and population structure 6
- Genetic Associations and Epidemiology 5
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- Adipose Tissue and Metabolism 4
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Renin-Angiotensin System Studies 3
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- Metabolism, Diabetes, and Cancer 3
- Molecular Biology Techniques and Applications 2
- Co-authors
- A.J.S. BhanwerPriyanka RainaR. BamezaiEkta RaiAjay KumarSwarkar SharmaSurabhi KaulKamal Jain
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Kawaljit Matharoo
27 papers receiving 293 citations
Peers
Comparison fields: 5 of 55
- Geriatrics and Gerontology 32
- Endocrinology, Diabetes and Metabolism 61
- Genetics 92
- Ophthalmology 23
- Physiology 60
Countries citing papers authored by Kawaljit Matharoo
This map shows the geographic impact of Kawaljit Matharoo'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 Kawaljit Matharoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kawaljit Matharoo more than expected).
Fields of papers citing papers by Kawaljit Matharoo
This network shows the impact of papers produced by Kawaljit Matharoo. 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 Kawaljit Matharoo. The network helps show where Kawaljit Matharoo may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Kawaljit Matharoo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 22 | |
| 2 | 2020 | 4 | |
| 3 | 2019 | 1 | |
| 4 | 2019 | 3 | |
| 5 | 2017 | 12 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 10 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 35 | |
| 17 | 2013 | 10 | |
| 18 | 2013 | 15 | |
| 19 | 2012 | 18 | |
| 20 | 2012 | 43 |
About Kawaljit Matharoo
Kawaljit Matharoo is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Physiology and Physiology, having authored 29 papers that have together received 321 indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Genetic diversity and population structure (6 papers), Genetic Associations and Epidemiology (5 papers), Adipose Tissue and Metabolism (4 papers), Renin-Angiotensin System Studies (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Geriatrics and Gerontology (32 citations), Endocrinology, Diabetes and Metabolism (61 citations), Genetics (92 citations), Ophthalmology (23 citations) and Physiology (60 citations). Kawaljit Matharoo has collaborated with scholars based in India, United States and Italy. Frequent co-authors include A.J.S. Bhanwer, Priyanka Raina, R. Bamezai, Ekta Rai, Ajay Kumar, Swarkar Sharma, Surabhi Kaul, Kamal Jain, Ramandeep Kaur and Subhabrata Chakrabarti. Their work appears in journals such as Gene, Molecular Genetics and Genomics, Genetics Research, Legal Medicine and Current Eye 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.