Kamaljit Chatha

1.2k citations
22 papers · 830 indexed · 2 hit papers · h-index 13

Kamaljit Chatha

21 papers receiving 815 citations

Hit Papers

Empagliflozin Attenuates Non-Alcoholic Fatty Liver Diseas...20212026202220242021202450100150200

Peers

Kamaljit Chatha
Comparison fields: 5 of 95
  • Epidemiology 280
  • Endocrinology, Diabetes and Metabolism 167
  • Molecular Biology 162
  • Infectious Diseases 149
  • Neurology 106
Replace Kuo‐Tung Tang with:
Kuo‐Tung Tang Taiwan
Xuemei Wang China
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Kamaljit Chatha relative to Kuo‐Tung Tang Taiwan Kuo‐Tung Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kamaljit Chatha

Since Specialization
Citations

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

Fields of papers citing papers by Kamaljit Chatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamaljit Chatha

This figure shows the co-authorship network connecting the top 25 collaborators of Kamaljit Chatha. A scholar is included among the top collaborators of Kamaljit Chatha 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 Kamaljit Chatha. Kamaljit Chatha 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 0
2
Non-invasive Scores and Serum Biomarkers for Fatty Liver in the Era of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD): A Comprehensive Review From NAFLD to MAFLD and MASLDbreakdown →
53
3 4
4 4
5 39
6
Empagliflozin Attenuates Non-Alcoholic Fatty Liver Disease (NAFLD) in High Fat Diet Fed ApoE(-/-) Mice by Activating Autophagy and Reducing ER Stress and Apoptosisbreakdown →
234
7 23
8 16
9 73
10 36
11 31
12 39
13 83
14 10
15 21
16 3
17 6
18 4
19 15
20
9

About Kamaljit Chatha

Kamaljit Chatha is a scholar working on Behavioral Neuroscience, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 830 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (167 citations), Epidemiology (280 citations) and Infectious Diseases (149 citations). Kamaljit Chatha has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Harpal Randeva, Ioannis Kyrou, Emmanouíl Karteris, Demetrios�� Spandidos, Marcia Hall, Eva Kassi, Julie Davies, Konstantinos Kontzoglou, Antonios Chatzigeorgiou and Narjes Nasiri‐Ansari. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Journal of Clinical Pathology.

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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